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Linguistic Analysis Paper
In the following essay I will speak about four of Abraham Lincoln’s works, namely, the Gettysburg Address, the House Divided speech and the two inaugural speeches made by him as a president of the United States of America. In order to better understand these speeches in a greater detail one needs to employ the following frameworks with some of them being explained prior to being implemented: semantics, pragmatics, lexis, grammar and phonetics. In analyzing the speeches of Lincoln one will use them with the greatest focus being placed to those areas that are truly viewed by me as remarkable for these speeches.
The semantics of the language used in the speeches, is a subfield in linguistics that studies the meaning of words, phrases, sentences and texts. Semantics is typically approached from the theoretical and empirical points of view. One needs to study the relationship between different areas. Semantics deals heavily with sense and reference, truth conditions and discourse analysis which one can trace perfectly in all Lincoln’s speeches.
Pragmatics, despite being considered a subset of semantics in linguistics is concerned primarily with bridging the explanatory gap between sentence meaning and speaker’s meaning. Pragmatics represents the study of how context influences the interpretation on a crucial matter. Under the pragmatics the context of Lincoln’s speeches should interpreted as situation as it may typically include some imaginable extra-linguistic factor, that would comprise discourse, social, economic and psychological factors.
Grammar as used in this essay will represent the rules governing the use of language by Lincoln in his speeches. Grammar is part of linguistics, while semantics is a subfield of grammar used together with morphology and syntax.
Lexis, on the other hand is the entire store of single words as well as sets of words that one uses as building blocks or units in the written expression of that language (or oral presentation as it was during Lincoln’s time). one needs to remember that the multi-word element of the lexis is precisely what makes it different from the vocabulary of a language which represents the collection of single words
The Gettysburg address was a short speech of Abraham Lincoln presented in 1863 and concentrating on the notion of civil war that the nation was engaged in. Lincoln pointed out the need for the national dedication to the common goal so that those who died for this nation were remembered. The semantics of the Gettysburg address indeed was rather simple and straightforward as it would clearly tell the audience about the need for the nation to stay firm on the goal and pursue it so that Americans “shall not perish from the earth”.
Pragmatics was also clearly used as the speech would directly tell the nation what needs to be done in simple words without the use of hints or metaphors. The grammar and lexis on the other hand show a masterful skill in using the language as most of the sentences are long and complex making use of logos, pathos and ethos in rhetoric of Lincoln.
The phonetics of Gettysburg address was somewhat awkward in my personal view as the language used in XIX century is different from the one we use in the XXI century. The phonetics make the speech somewhat hard to understand for a typical countryman of Lincoln’s time yet it would make it absolutely clear to the key decision makers of his time.
Another piece of work to be analyzed in the essay is the “house divided” speech of Abraham Lincoln pronounced in 1858. the speech is much longer if compared to the Gettysburg Address and is certainly more complex in its rhetoric and discussion. The semantics of the speech were presented as easy to understand with respect to the actual meaning of the words, yet one has to certainly credit Lincoln for masterful use of lexis in his speech which was reflected in the paraphrase of the New Testament and the professional use of metaphors.
Pragmatics in the “House Divided” speech attempt to accurately hint the audience as to what Lincoln means when he uses the language in the speech. In our case, the metaphor of the divided nation and its relationship to the New Testament signifies that Lincoln had probably believed that it was morally and religiously justified to have a free nation that would pursue similar policies and obey similar rules and laws. In his statements like “the doctrine of “care not whether slavery be voted down or voted up,” one clearly sees that Lincoln despite not objecting slavery with much harshness and severity certainly opposes it with his nature and very self. The use of questions throughout the speech makes us understand that Lincoln calls everyone in the nation to the discussion and points out the most important elements which he personally believes critically impact the United States as a nation.
The grammar of the “divided nation” speech is almost perfect despite Lincoln’s attempt to make extensive use of the questions and appeals to emotion which sound best with simple structure and wording. He managers to put them all in such a consequence which makes the whole speech smooth flowing and easy to follow, albeit not so clearly argued due to the extensive appeal to pathos (emotions).
The lexis was widely used throughout the speech with “squatter sovereignty”, “A house divided against itself cannot stand”, and “sacred right of self-government” statements being easy to remember and follow through the speech. I personally believe that it is the lexis which made this speech the most memorable to me personally of all those analyzed in this essay.
Another speech of Abraham Lincoln which I will analyze in this essay is available online at http://www.bartleby.com/124/pres31.html and is the first inaugural address. This speech boasts rich grammar and vocabulary which certainly show the audience that the selected president is indeed smart and highly educated. The constructions ultimately bring up many questions, which I now believe was a technique of Lincoln to draw the audience’s attention to some detail on which he personally did not want to give his clear opinion yet rather diplomatically hinted regarding his conviction.
The semantics of the first inaugural address was similar to the semantics of the other speeches by Abraham Lincoln noted previously. There had been no significant difference in style, structure, or language compared to other speeches. The text does not make use of idioms or constructions foreign to the audience, thus, every sentence and word in the inaugural address is understandable and easily followed.
The pragmatics were more clearly traced in the use of questions and hints which albeit did not state clearly the president’s opinion, would make everyone understand it when one read between the lines. For instance the question “If the United States be not a government proper, but an association of States in the nature of contract merely, can it, as a contract, be peaceably unmade by less than all the parties who made it?” and “No person held to service or labor in one State, under the laws thereof, escaping into another, shall in consequence of any law or regulation therein be discharged from such service or labor, but shall be delivered up on claim of the party to whom such service or labor may be due” clearly show the president’s opinion on some issues related to freedom and slavery as prevailing at that time in the USA.
The grammar and phonetics of the first inaugural address are rich and loaded. Lincoln makes use of what one would nowadays call “SAT words” or “Queens English words” yet these were the very words one used in the US government and haute society that he represented. Once again, Lincoln’s speech due to the rich grammar and phonetics would probably be hard to follow for slaves whom he discussed.
The last but not least speech used in this essay is the Second inaugural address of Abraham Lincoln was created in March of 1865, just a months prior to Lincoln’s assassination and was similar in style, manner and composition to all other speeches created by Lincoln during this service for the USA. The semantics of the Second Inaugural Speech as it is in the case with other speeches noted earlier, are understandable, despite the rather complex grammar used by Lincoln in his second inaugural address.
The pragmatics of the second inaugural address of Abraham Lincoln were less used by Abraham Lincoln either because now he had the ultimate power necessary to clearly say what he wanted to say without losing support and positional power or probably because Lincoln believed that his smooth speeches of the past did not yield the necessary results he expected for them to bring. The use of the Holy Bible in his speech as seen in the statements “Woe unto the world because of offenses; for it must needs be that offenses come, but woe to that man by whom the offense cometh” and “”the judgments of the Lord are true and righteous altogether” allow one to understand that Lincoln again tried to tie his speech to some authority (in this case represented by the holy bible) to get the most support possible from the target audience for whom the speech was written.
The phonetics of the second inaugural address, seem to be somewhat more appealing than those of the first inaugural address due to the fact that speech was much shorted compared to the first inaugural speech and probably because it would use somewhat simpler grammar and shorter sentences throughout the speech. I can say that the speech is more persuasive due to the fact that it uses a straightforward approach, clear language, appeal to logic, authority and emotion. The lexis of the second inaugural address was clear and easy to understand in the ways where Lincoln addressed his countrymen and fellow Americans. One would not have some difficult words that one would not clearly understand or have second thoughts as to what they might mean in the speech.
In conclusion, I would like to note that the four speeches of Abraham Lincoln that he used throughout his political career were analyzed in the essay with respect to the rhetoric used in them. One would read the speeches, and take a glance at the issues such as semantics, pragmatics, lexis, grammar and phonetics to better understand these masterpieces of political thought and express.
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Welcome to Linguistic Analysis
A peer-reviewed research journal publishing articles in formal phonology, morphology, syntax and semantics. The journal has been in continuous publication since 1976. ISSN: 0098-9053
Please note that Volumes , Issues , Individual Articles , as well as a yearly Unlimited Access Pass to Linguistic Analysis are now available here for purchase and for download on this website. For more information on rates and ordering options, please visit the Rates page. We will continue to add new material so come back to visit. Please Contact us if you are interested in specific back issues.
Linguistic Analysis Volume 43 Issues 1 & 2 (2022)
Barcelona Conference on Syntax, Semantics, & Phonology , edited by Anna Paradis & Lorena Castillo-Ros.
This issue brings together a selection of ten papers presented at the 15th Workshop on Syntax, Semantics, and Phonology (WoSSP), held at the Universitat Autònoma de Barcelona, on June 28-29, 2018. WoSSP is a series of on-going workshops organized by PhD students for students who are working in any domain of generative linguistics, and which offers them a forum to share their work in progress . One of the main aims of the WoSSP conference is to provide a space where graduate students who wish to present their work may exchange ideas within different formal approaches to linguistic phenomena.
Read the Introduction
Issues in Preparation
Volume 43, 3-4: Dependency Grammars
This issue, edited by Timothy Osborne, brings together a selection of the papers that examine dependency grammars from a variety of perspectives.
Volume 44, 1-2 Current Issues in Morphology
This issue, edited by Greg Stump and Géraldine Walther, will explore the theoretical significance of inflectional paradigms and will be based on papers presented at the 2014 International Morphology Conference that was held in Budapest in late May/early June, 2015. The best papers from that conference will be chosen for publication.
What Is Linguistic Analysis?
Linguistic analysis refers to the scientific analysis of a language sample. It involves at least one of the five main branches of linguistics , which are phonology , morphology , syntax , semantics , and pragmatics . Linguistic analysis can be used to describe the unconscious rules and processes that speakers of a language use to create spoken or written language , and this can be useful to those who want to learn a language or translate from one language to another. Some argue that it can also provide insight into the minds of the speakers of a given language, although this idea is controversial.
The discipline of linguistics is defined as the scientific study of language. People who have an education in linguistics and practice linguistic analysis are called linguists. The drive behind linguistic analysis is to understand and describe the knowledge that underlies the ability to speak a given language, and to understand how the human mind processes and creates language.
The five main branches of linguistics are phonology, morphology, syntax, semantics, and pragmatics. An extended language analysis may cover all five of the branches, or it may focus on only one aspect of the language being analyzed. Each of the five branches focuses on a single area of language.
Phonology refers to the study of the sounds of a language. Every language has its own inventory of sounds and logical rules for combining those sounds to create words. The phonology of a language essentially refers to its sound system and the processes used to combine sounds in spoken language .
Morphology refers to the study of the internal structure of the words of a language. In any given language, there are many words to which a speaker can add a suffix, prefix, or infix to create a new word. In some languages, these processes are more productive than others. The morphology of a language refers to the word-building rules speakers use to create new words or alter the meaning of existing words in their language.
Syntax is the study of sentence structure. Every language has its own rules for combining words to create sentences. Syntactic analysis attempts to define and describe the rules that speakers use to put words together to create meaningful phrases and sentences.
Semantics is the study of meaning in language. Linguists attempt to identify not only how speakers of a language discern the meanings of words in their language, but also how the logical rules speakers apply to determine the meaning of phrases, sentences, and entire paragraphs. The meaning of a given word can depend on the context in which it is used, and the definition of a word may vary slightly from speaker to speaker.
Pragmatics is the study of the social use of language. All speakers of a language use different registers, or different conversational styles, depending on the company in which they find themselves. A linguistic analysis that focuses on pragmatics may describe the social aspects of the language sample being analyzed, such as how the status of the individuals involved in the speech act could affect the meaning of a given utterance .
Linguistic analysis has been used to determine historical relationships between languages and people from different regions of the world. Some governmental agencies have used linguistic analysis to confirm or deny individuals' claims of citizenship. This use of linguistic analysis remains controversial, because language use can vary greatly across geographical regions and social class, which makes it difficult to accurately define and describe the language spoken by the citizens of a particular country.
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Corpus Linguistic Analysis, A Bird’s Eye View of Writing
- Laura Aull
How we (usually) read and write
If you are like most people in the United States, you read and write one phrase, sentence, and paragraph at a time. Then, you consider all the words, sentences, and paragraphs of a full individual text, and that tells you what that text is about.
For example, when you read the news, you probably read or skim each news article or post from the beginning onward, and then you think about what each one is about. For a class or your own purposes, you might also consider the audience of a particular article, such as whether it is international or domestic, or left-leaning or right-leaning. This kind of attention to the rhetoric and rhetorical situation of individual texts is something you have probably practiced a good deal.
Reading one sentence and text at a time is what your teachers tend to do when they read papers, too: they read your paper from start to finish, and then they read your classmate’s paper, and so on.
You and your instructors may also think about some aspects of writing across individual texts, such as genre or purpose. Your teachers might look across a stack of papers, for instance, and consider how well a class of students has used primary evidence in a research paper. In another example, you might look over a Twitter feed to see how often people retweet posts in a particular thread. In such instances, you and your teachers are paying attention to aspects of the rhetorical situation across multiple texts.
By contrast, you probably spend little time thinking about how language —in words, phrases, and sentences—is used across the texts you read and write. That kind of focus, on language across texts, is common in linguistic approaches to writing, which are more popular outside of the U.S. than inside the U.S. Accordingly, if your writing teachers have been trained in U.S. rhetoric and composition rather than linguistics, they know a lot about students’ writing generally but may not know a lot about the specific language that students use across their papers and across courses.
What does all this mean? Most U.S. readers and writers, and most U.S. student writing research, tends to discuss written texts one text at a time. Understanding across texts tends to focus on contextual patterns, such as audience or genre. Most U.S. readers and writers know less about textual patterns, or patterns of language across texts and contexts.
Of course, on some level, you do think about language patterns, maybe without even realizing it. It’s part of why you can recognize a newspaper article and why you know how to write a text message: you have paid attention to how people use language in patterned ways. But this kind of knowledge—the kind we pick up through casual observation—is often subconscious and is rarely systematic. For example, you can probably write a text message that is appropriate for a given rhetorical situation without thinking much about it, because you have picked up on what kind of language is appropriate for the genre (text message) and audience (your recipient, such as a family member or friend). But what do you do when you need to write something unfamiliar to you? If you are writing your first college composition essay, or your first psychology case study, how do you know what language patterns are preferred?
Corpus Linguistic Analysis
This brings us to analysis that uses computer-aided tools to offer us a view of language patterns across texts—a bird’s eye view of written language patterns. This kind of analysis is called corpus linguistic analysis: the term corpus refers to a body of texts, and linguistic analysis , as you saw before, refers to the examination of patterns of language use. As a complement to understanding one text at a time, corpus linguistic analysis can help us systematically analyze and understand written language in terms of patterns across many texts and across time.
Reading so far, you may already be picking up on three premises, or assumptions, related to corpus linguistics:
- Texts make meaning in patterned ways across texts and contexts.
- It can be hard to comprehend language patterns if we are trained to read and analyze only one text at a time.
- Attention to language across texts and contexts can teach us additional information about what is expected in particular rhetorical situations.
You are probably already picking up on a detailed definition of corpus linguistic analysis, too. Corpus linguistic analysis refers to the examination of textual patterns in a selected body of naturally produced texts, usually via computer-aided tools that facilitate searching, sorting, and calculating large-scale textual patterns.
Notice two key terms inside this definition:
- Textual patterns : lexical or grammatical patterns that persist across texts in a corpus, in contrast to more varied choices or to patterns in other corpora
- Naturally produced texts : a given corpus consists only of language produced for authentic, real- world purposes
In sum, corpus linguistic analysis is about identifying choices people make (and don’t make) across texts, and we can use the results of such analysis to enhance our understanding of how language and texts work. Corpus linguistic analysis has been used a lot since the mid- to late-20 th century, especially outside of the U.S., in places like England, Asia, and Australia, to help teachers and students learn about expert and student writing choices that come up again and again.
The Bird’s-Eye View of Language: Why corpus linguistic analysis?
You may not be convinced yet. If we are most used to reading and writing one text at a time, why introduce something different? Why get a bird’s eye view of language patterns across texts?
Some good reasons include that we get to see different details when we look across texts—details we can miss or misperceive when we read one text at a time. Here are two key reasons why corpus linguistic analysis can be useful, followed by examples from corpus linguistic analysis of academic writing.
- Our perceptions of language use are often misleading .
It’s easy to come to inaccurate conclusions about language, because some things catch our attention more than others. For instance, people tend to think that language is changing rapidly when they read slang words on the Internet. But actually, there are many more words on the Internet that have been around a long time than there are new words. Corpus linguistic analysis has shown that only around 3% of online language use includes internet-specific slang such as abbreviations. It’s just that the newer words grab our attention more than the old ones. In this example, corpus linguistic analysis helps us quantify what percentage of words on the internet are actually new words, and what percentage are words we have been using for a while. Let’s consider one more example, this one from research on academic writing .
Have you ever found it difficult to read college textbooks? Doug Biber and his research team used corpus linguistic analysis to analyze different kinds of language use on college campuses, including research articles, textbooks, and office hours. One thing they wanted to investigate was how textbooks compared to these other kinds of language use, because instructors often think that textbooks provide easy-to-read narrative descriptions for students.
Based on corpus linguistic analysis of all of these kinds of language, Biber et al. found that textbooks are not characterized by narrative, accessible language like spoken conversation. Instead, they tend to include dense, present-tense discussions of implications, making textbooks challenging to read for students. In some ways, textbooks are just as difficult to parse as research articles.
- Much of our knowledge about written language is tacit, or unconscious (Odell et al.).
Once we have learned to write in a particular way, it is easy to forget the conscious steps we had to learn to do it in the first place. That is why it can be hard for your teachers to realize what might be challenging about an academic writing task they assign, and why it might be hard for you to explain to a grandparent how to write a tweet or how to use hashtags. Let’s again turn to a more specific example from research on academic writing.
Have you ever felt like you didn’t know what a teacher wanted in your writing? What teachers want can be subtle, or even unstated. BrownandAull did a corpus analysis of advanced placement English essays that showed two distinct patterns in successful and unsuccessful essays. The successful student writing included specific, detailed phrases, while unsuccessful student writing included generic, emphatic phrases. This means, for instance, that a successful student essay might include the following sentence:
A twentieth-century understanding of grief suggests that it takes time .
In this sentence, a detailed phrase about an understanding of grief (underlined in the example) is the subject of the sentence.
By contrast, an unsuccessful student essay might instead say:
Grief obviously takes time .
This sentence includes a simple subject ( grief ) as well as an emphatic word obviously .To academic readers, the second sentence can seem too general and too strong.
The bottom line is that our perceptions of language use can miss important patterns, because we tend to read one word, sentence, and text at a time. Getting a bird’s-eye view allows us to understand more about the kinds of choices people tend to make with language, including successful and unsuccessful choices in academic writing. As we learn about such patterns and practice looking for them, we can become more adept at recognizing what characterizes different kinds of written texts.
Example exercise: Words that hang out with one another
Let’s get some practice thinking about language patterns. We’ll do this by considering collocations , or the words that most often hang out with other words. (The technical, fancy-sounding definition of collocations is “the habitual juxtaposition of a particular word with another word or words with a frequency greater than chance.”)
First, try to guess: What words collocate, or hang out, most often with the word idea in U.S. English?
Specifically, what words do you think come just before idea , in all sorts of U.S. English (spoken, fiction, academic, news, and magazine)? List your top 5 guesses.
To test your guesses, we can turn to corpus linguistic analysis, using the Corpus of Contemporary American English (COCA). COCA is an online database where you can search all kinds of patterns in American English, across spoken conversation, fiction, academic writing, news, and magazines. You’ll see COCA listed in the resources below with a URL so that you can check it out yourself.
For this search, we’ll look for all words immediately to the left of idea. These are called 1L collocates, because they appear 1 space to the left .
Use of the word IDEA in COCA (all registers)
How many of your guesses were right? Did you guess that not only are good idea and bad idea popular, but so too are the expressions (the) very idea, basic idea, and general idea?
Let’s think about these patterns. Several collocations show evaluation of an idea ( good idea, bad idea, great idea ), including some comparison ( better idea, new idea ). Others show emphasis on an idea ( (the) very idea ). Finally, others convey a summary or gist of an idea ( whole idea, basic idea, general idea ). ( Clear idea is used both in evaluation and in summary statements.)
Many people guess that people describe ideas as good and bad , but they don’t realize how often speakers and writers use idea to let their audience know that they are summarizing something. As you read before, this is the kind of thing that corpus linguistic analysis can uncover: common patterns of language use that we don’t necessarily pay attention to but that can tell us what matters to people in a given type of writing. Picking up on these collocates might, for instance, help students begin to notice how often people summarize, and when they tend to do so.
If we use the above examples, for instance, you could consider the following as you begin to read and write in a new course: How do writers describe ideas? Do they evaluate them (e.g., as good, bad, or correct )? Do they describe them (e.g., as theoretical, abstract, or practical )? Do they summarize them (e.g., general, overall )?
Let’s explore one more example, this one concerning something many students wonder about: the first person in academic writing.
Here’s our question for this one: How do writers draw attention to themselves as writers by using the first person I or we ?
Let’s first make a guess about expert academic writing. In academic writing published in the U.S., what words do you think collocate, or hang out, with I ? Specifically, what words do you think most often appear right after I, or immediately to the right of the word I , in academic writing? Again, note your top 5 guesses.
We can again use corpus linguistic analysis to find out how accurate your guesses are. Specifically, we can use the Corpus of Contemporary American English academic subcorpus (COCAA) and search for words 1 space to the right, or 1R, of I.
Use of the word I in COCA, Academic writing
First of all, using COCAA, we can see that even though lots of students have heard that they shouldn’t use I in academic writing, corpus linguistic analysis shows us that many published academic writers use I, or we .
How do they use it? In these collocates, we can see a clear and consistent pattern: academic writers use I as the subject of verbs, and these verbs tend to help writers describe their processes; consider, for instance, examples like I have observed, I was able to, I had collected ). Academic writers also use I to describe their thinking ( I think that , I would suggest ). They also, though less often, use I to describe beliefs: I believe is the final of the last of the top ten.
How did your guesses hold up? A lot of people guess argue, thinking that academics write I argue a lot, but it is not in the top ten. Conversely, few people guess I have or I had. In addition, many students are surprised to see that academic writers are often tentative rather than explicit about their arguments: as you can see, academic writers use I would, I think, and I could far more often than I argue.
As you can see, sometimes corpus linguistic analysis can surprise us. It shows us that textbooks can be hard to read, that student grades are based in part on the subjects of their sentences, and that academic writers use I to describe steps in their thinking and processes. With more analysis, we learn more.
Try out the resources below, and see what patterns you find with a bird’s eye view across many texts.
More examples of corpus linguistics research
Written versus spoken English:
- Very formal, academic writing tends to contain lots of nouns and prepositions, while more informal language, including spoken conversation, tends to contain more pronouns and verbs (Biber; Biber and Gray).
- Successful writing by late-undergraduate and early-graduate writers show clear differences depending on the discipline. For example, writing in Philosophy and Education is more narrative and interpersonal than writing in Biology or Physics. Writing in Political Science and Linguistics falls in between (Hardy and Römer).
- First-Year college writers tend to boost, or intensify their ideas with words such as really, truly, or clearly, more than they hedge or qualify their ideas, with words such as perhaps, might, or possibly . This can make first-year writing seem overstated to many academic readers, who tend to appreciate some space for doubt and exception (Aull First-Year; Aull et al.; Aull and Lancaster; Hyland “Undergraduate Understandings”).
Published academic writing across disciplines:
- Writers in the social and natural sciences tend to use more first person pronouns ( I, we ) to describe experimental processes, while writers in the humanities tend to use first person pronouns to showcase interpretive reasoning (Hyland “Stance”).
- Academic writers across all disciplines still tend to hedge, or qualify, more than they boost, or intensify (Hyland Disciplinary Discourses ).
Corpus of Contemporary American English (COCA): https://www.english-corpora.org/coca/
Details about COCA: Davies, M. (2011). Word frequency data from the Corpus of Contemporary American English (COCA).
Michigan Corpus of Upper-Level Student Papers (MICUSP) : http://micusp.elicorpora.info/
Details about MICSUP:Römer, Ute and O’Donnell, Matthew. From student hard drive to web corpus (part 1): the design, compilation and genre classification of the Michigan Corpus of Upper-level Student Papers (MICUSP). Corpora , vol. 6, no. 2, 2011: 159-177.
Collocation games , see e.g., Wu, Franken, and Witten. Collocation games from a language corpus. In Digital Games in Language Learning and Teaching . Palgrave Macmillan, London, 2012: 209-229.
The Grammar Lab : David West Brown’s www.thegrammarlab.com/
Corpus linguistic analysis can be particularly valuable for identifying student-specific discourse (Römer and Wulff)
Textual patterns with attention to discipline/ genre/ assignment/ level/ course
- Multiple features combine to create coherent styles, such as more a persuasive or more formal style, that are equally successful even for the same task (Crossley et al.)
- Some academic genres and fields (e.g., argumentative essays; humanities) tend to include more features characteristic of informational writing (e.g., nouns and prepositions)
- Others (e.g., reports and natural sciences) include features more characteristic of interpersonal writing (e.g., adverbs and pronouns)
- (Aull “Argumentative Versus Explanatory Discourse”; Hardy and Römer; Nesi and Gardner)
Textual patterns with attention to genre/ assignment/ level/ course
- Students may develop vis-à-vis how they cite, engage with, and project others’ views (Ädel and Garretson; Coffin; Coffin and Hewings)
- As undergraduate students develop, they hedge more and boost less, and they begin to use certain cohesive strategies more (Aull and Lancaster)
- Successful advanced student writing includes nouns that are metadiscoursal and methodology-related (Hardy and Römer), versus more generic nouns, such as people or society , that are key in first- year writing (Aull et al.)
Ädel, Annelie and Gregory Garretson. “Citation Practices across the Disciplines: The Case of Proficient Student Writing.” Academic and professional communication in the 21st century: Genres, rhetoric and the construction of disciplinary knowledge. Proceedings of the 5th International AELFE Conference , 2006, pp. 271-280.
Aull, Laura Louise. “Corpus Analysis of Argumentative Versus Explanatory Discourse in Writing Task Genres.” Journal of Writing Analytics , vol. 1, no. 1, 2017, pp. 1-47.
—. First-Year University Writing: A Corpus-Based Study with Implications for Pedagogy. Palgrave Macmillan, 2015.
Aull, Laura Louise et al. “Generality in Student and Expert Epistemic Stance: A Corpus Analysis of First-Year, Upper-Level, and Published Academic Writing.” Journal of English for Academic Purposes , vol. 26, 2017, pp. 29-41, doi: http://dx.doi.org/10.1016/j.jeap.2017.01.005 .
Aull, Laura Louise and Zak Lancaster. “Linguistic Markers of Stance in Early and Advanced Academic Writing: A Corpus-Based Comparison.” Written Communication , vol. 1, no. 33, 2014.
Biber, Douglas. “Variation across Speech and Writing.” Cambridge, Cambridge , 1988.
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Linguistics Research Paper
This sample linguistics research paper features: 8700 words (approx. 29 pages), an outline, and a bibliography with 32 sources. Browse other research paper examples for more inspiration. If you need a thorough research paper written according to all the academic standards, you can always turn to our experienced writers for help. This is how your paper can get an A! Feel free to contact our writing service for professional assistance. We offer high-quality assignments for reasonable rates.
20th-century delineations, formal linguistics, noam chomsky, language competence and the sentence, functional linguistics, structural and comparative linguistics, sociolinguistic perspectives, language mixtures, pidgins and creoles, linguistics and politics, language extinction, psycholinguistics, semantics and pragmatics.
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The reasons and methods for trying to understand language have changed from one historic era to the next, making scholarly activity in the field known as linguistics as vibrant as each era. Knowledge of the changes in perspective about language development provides one key to unlocking the door to characterize the nature of human beings as well as unlocking the door to the evolution and growth of societies. For example, Franz Boas (1858–1942) used what became known as descriptive-structural linguistics in his studies of culture and anthropology in the early 20th century. His interpretation of language was, in the words of Michael Agar (1994), “just a ‘part’ of anthropological fieldwork, and the point of fieldwork was to get to culture” (p. 49). This sense of linguistics as a vehicle was shared by the students of Boas and became a primary interpretation for many years, especially through the influence of Leonard Bloomfield. One can only imagine the kinds and degrees of meaning that are lost to us about peoples of the world due to the formal methods used in the study of language in the early 20th century and the relegation of language, as a research tool, as it was by Boas and Bloomfield. However, for the time, descriptivestructural linguistics was a significant advancement, albeit more of a part of anthropology rather than a separate field in itself. That changed dramatically in the latter half of the 20th century, particularly with the dynamic referred to by Noam Chomsky (2005) as the second cognitive revolution when the number of new research fields increased (e.g., cognitive psychology, computer science, artificial intelligence). The first cognitive revolution is a cognomen for the period between the 17th and early 19th centuries when classical thoughts and theories about language were proposed, especially by philosophers such as René Descartes, Gottfried Leibnitz, and Immanuel Kant.
In the 21st century, the methods of language study and characterizations of linguistics hardly resemble those of Boas and anthropologists in his era. Current scholars cannot capture all the characteristics of language in just one definition or modality to designate linguistics as one singular field of study. Multiple views of language and linguistics support a richer perspective about the study of language and people than one that identifies linguistic methods only as tools to find out about culture.
Philology in the 1800s was the ancestor to general linguistics. Those who identified themselves as philologists were oftentimes recruits from the field of philosophy. Their studies provided historical perspectives about languages—classifying and categorizing them by phonology, morphology, and syntax (but not so much by semantics and pragmatics).
Much of the early linguistic research (i.e., up to the first half of the 20th century) was undertaken to find out about the speech of ancient peoples. Thus, there was a reliance on writings—as well as on the spoken word—as these survived and changed into modern eras. Comparative linguistics enabled scientists to look for patterns in spoken languages in order to find connections among them that might give some indication of evolution. Those involved in comparative linguistics were close cousins to researchers in the current subfield of sociolinguistics, which attempts to understand language use and its social implications as well as the consequences of language and literacy development and education among citizens of world nations and societies within them.
In the latter half of the 20th century, the pursuit of language understanding enhanced the identity of linguistics as a field constituted of several subfields, with each involving the study of specific human dimensions evidenced in language use. For example, forensic linguistics provides insights into language, law, and crime; neurolinguistics includes the relationships between language and the human nervous system. This latter field holds much promise for understanding individuals afflicted with aphasia and other communication disorders. It also provides answers regarding second-language learning and multilingualism. Another linguistic subfield, computational linguistics, is one that has supported the developments of the computer age. This field involves scholars from a wide range of related disciplines (e.g., logicians, computer scientists, anthropologists, cognitive scientists) in the study of natural language understanding to create models for incorporation in technological devices and instrumentation for crosslinguistic communication and translation. For example, the quality of voice recognition on the telephone, as well as the complexities of voice recognition responses, was unimaginable even in the early 1980s. Likewise, translations of written languages in computer search engines, such as Google, require sensitivity to meaning as well as to the interpretations of words and grammar between any two languages.
The branching off of language studies into a range of related linguistic disciplines demonstrates that there is no limit to the number and variety of questions that can be approached. Answers are constrained only by one’s choice of definition, purpose, and characterization of language. Even so, the richness of language research, both past and present, shows that an answer to one question many times leads to new and more interesting ones. And, for the most part, language questions are now perceived to pose dynamic challenges in and among subfields of linguistics. For example, why should we be concerned about the extinction of languages? How did spoken languages evolve?
The Nature of Language
Studies of language by researchers who are designated as members of one of the several subfields of linguistics is limited by the particular theory or theories held by the particular researcher(s). Each theory is derived from the definitions of elements or characteristics of language that are of interest to the individual. Definitions of language chosen by linguists will influence the direction in which research will proceed; however, among the linguists, there is much cross-disciplinary understanding that continuously reshapes arguments and individual theories.
There are a great variety of scholarly definitions for language as well as for languages. Each reflects the theoretical perspectives and areas of study of the specific group (i.e., subfield) of linguists. If one were to ask for a definition from those who are not considered academics, however, they more often than not would associate language with spoken communication. Joel Davis, in his discussions about the mother tongue, explains that there is somewhat of a dilemma for linguists to pose a singular definition to language because of the multiplicity of characteristics and the use of one’s own language to describe language in general. To capture the nature of language and define it, linguists attempt to study language structure (form) as well as language use ( function ). Studies may reveal things in single languages or singular situations or may uncover things by comparison of one language to another language or other languages.
Those who look at the structure of languages do so to establish a foundation for exploring distinct parts and compositions of specific languages in order to see what might be common among them. Van Valin explains that from the beginning of the 20th century, those who were curious about “linguistic science,” such as Boas and his contemporary Ferdinand de Saussure (1857–1913), were especially focused on identifying language systems to support the further study of language use. This positioned the definitions of language within a construct that came to be known as structural linguistics. In the 1930s, Leonard Bloomfield reinforced the idea of structuralism, claiming that the main object of linguistic study should involve grammatical principles that have little or nothing to do with observations of what individuals know or think about their language.
In the second half of the 20th century, as researchers from fields such as psychology, cognitive science, and sociology began to take interest in language studies, definitions of language could be distinguished as representative of one of two major linguistic areas, formalism or functionalism. The former area involves linguistic study of the systematic, organized ways that language is structured. The latter area is more concerned with language use and the reasons why individuals choose to speak in certain ways and not in others.
Franz Boas, Ferdinand de Saussure, and Leonard Bloomfield are among those who are acknowledged as formal linguistic researchers in the first half of the 20th century. Their theories and the field of structural linguistics led the way to expanded ideas about language study. Boas is considered to be the father of American anthropology, and as stated above, his use of linguistic analyses was only as a tool to get to culture. Although Saussure did not write down his ideas in articles or books, his lecture notes distributed among his students became a text after his death titled Course in General Linguistics. Language researchers give recognition to Saussure for the growth of linguistics as a science, and his work has been a central one for the development of the subfield of sociolinguistics. Bloomfield is best known as a linguist, although some classify him as an anthropologist. Of his many writings, his book Language was revered for its discussions of structural linguistics and comparative work to characterize languages.
The work of these three scholars—Boas, Saussure, and Bloomfield—left an indelible imprint on the field of linguistics. In their wake, there began a strong desire among young language researchers to pursue studies in formal linguistics. However, none was to compare to Noam Chomsky who moved formal linguistics into a new home, that of generative transformational grammar.
A political activist and formal linguist, Chomsky designated two particular foci for characterizing and, thus, added to the definitions of language. In his book Aspects of a Theory of Syntax, he distinguishes between language competence and language performance. Previously, those researchers who were identified with structural linguistics ignored or paid little attention to language competence which, as stated by Van Valin (2001), “refers to a native speaker’s knowledge of his or her native language” (p. 326). Structuralists were more concerned about language performance, or how speakers used the language forms to communicate. In Chomsky’s work and that of others who ascribe to the newer area of formalism, there is more of an involvement with explorations of cognition, and this situates language competence as the main focus for striving to define language. Those who study generative transformational grammar in the tradition of Chomsky look for linguistic characteristics that are universal to all languages (e.g., all natural languages have nouns and verbs). Language is approached by exploring its generative capacity using a logical system of transformations to manipulate syntax.
Chomsky’s work drew attention to distinctions between the surface and deep structures of sentences. For example, he notes that the difference between the following two sentences is at the level of deep structure; both are composed of the same syntactic elements in the same order at the surface but differ at the deep level:
John is easy to please.
John is eager to please.
A critical part of the linguistic theories of Chomsky concerns how humans are “wired” for language. Having critiqued the work presented in B. F. Skinner’s Verbal Behavior, Chomsky reinforced his own belief that humans have innate knowledge of grammar as evidenced in the ways that individuals can generate new, never before uttered sentences.
This particular view of universal grammar and linguistic nativism contradicted the work of Edward Sapir and his student Benjamin Whorf; both had proposed a theory of linguistic relativity. The Sapir-Whorf hypothesis states that the cognition of individuals is influenced by their linguistic experiences within their given cultures. In other words, people in different cultures have different worldviews that have been tempered by the ways that their languages are structured and used.
In the 1960s, Thomas G. Bever and D. Terence Langendoen characterized language competence in this way, “A person knows how to carry out three kinds of activities with his language: He can produce sentences, he can understand sentences, and he can make judgments about potential sentences” (Stockwell & Macaulay, 1972, p. 32). In the previous comment, there is the singular concentration on the role of the sentence. In formal linguistic research, the sentence has been the central grammatical vehicle through which characteristics of language are identified. Although all languages are the subject of study, it is particularly in English and many other SVO languages (i.e., subject-verb-object sentence ordered) that the sentence has provided a foundation for analyses.
Formal linguists who are designated as psycholinguists have long held that designing research at levels of discourse beyond the sentence is especially unwieldy, and it may be difficult to resolve a hypothesis with absolute certainty. One psychologist, who demonstrated this point in his work regarding the interpretation of written texts in the 1980s through the 21st century, is Karl Haberlandt, a scholar in the field of memory and cognition.
The previous discussion requires a clarification about the definition of sentence. Formal linguistics looks at the syntax of sentences and the rules by which the grammar of a language allows for the order of words in sentences. For example, English transitive sentences commonly follow the order [s]ubject, [v]erb, [o]bject, but there may be variations of this order that are acceptable in English conversation. French follows a SVO pattern but is SOV when personal pronouns are used (e.g., Je t’aime, “I you love”). Consider also the ordering of adjectives in English, for example, three enormous green avocados versus green enormous three avocados.
Although not a member of any of the subfields of linguistics yet mentioned here, Richard Montague is a linguist known for his attempts to quantify language by matching the logic of set theory to characterizing the semantics of sentences. Although his life was a short one, his legacy of Montague grammar remains to challenge those who respect formal linguistics and considerations of the ordering of language.
The second area of focus from which we might posit definitions of language is that of functionalism. Individuals who are involved in this particular area propose theories of language use that may or may not allow for grammatical connections. Van Valin classifies the functional linguists as extreme, moderate, or conservative. Those who are in the first category do not admit to any use for grammatical (i.e., syntactic) analysis in their studies. To them, all language study is necessarily at the level of discourse, and observations of language grammar are restricted to the discourse. Those who are conservative functional linguists study language by adding on language use components to formal linguistic grammars. They keep the syntactic structures as the main part of the design of their research and amend them with discourse rules. Susumu Kuno is a well-known functional linguist who proposed a functional sentence perspective that guided a part of his research at Harvard University.
Moderate functional linguistics is especially represented by the work of M. A. K. Halliday. This subfield of linguistics is particularly appealing to anthropologists since it encourages comparative studies of communication and discourse without completely discounting the need for reference to grammatical theories. Moderate formal linguistics includes the consideration of semantics and pragmatics within the analysis of spoken human discourse. Dell Hymes (1996), credited with naming the linguistic subfield of anthropological linguistics, commented on the nature of language and provided a functionalist perspective of grammar in which he criticized Chomskian theories of formal generative grammar. This perspective demonstrates the thinking of the moderate functional linguist:
The heart of the matter is this. A dominant conception of the goals of “linguistic theory” encourages one to think of language exclusively in terms of the vast potentiality of formal grammar, and to think of that potentiality exclusively in terms of universality. But a perspective which treats language only as an attribute is unintelligible. In actuality language is in large part what users have made of it. (Hymes, 1996, p. 26)
One important functional linguist and anthropologist who had studied under Boas, and whose work was particularly vital in the latter half of the 20th century, is Joseph Greenberg (1915–2001). He is credited with providing the first thorough classification of African languages. Greenberg looked for language universals through language performance, rather than through formalistic analyses such as those of Chomsky. Since his work resulted in characterizing languages in this way, Greenberg is also mentioned in discussions of typological universal grammar.
Classification of Human Languages
The classification and categorization of human languages is particularly complex. First, there is the complexity derived from the theories and definitions of the linguists who are influenced by their own subfields of linguistics. Second, there is the complex weave among the topics of language evolution, language modification and change, and language death that in some respects is an uncompleted textile, metaphorically speaking. Each of these areas is connected to the other in simple and intricate ways, and they continue to enkindle disagreements among researchers who want to classify languages. When, why, and how does/did language evolution occur? What are the causes and correlates of language change? Are there any simple reasons why languages die? How do languages differ regarding interpretation and communication both between and among cultures?
In the last quarter of the 20th century, it became somewhat clear that no one subfield of linguistics could provide full answers to those questions that concern the classification of languages. Thus, some linguists have joined forces with individuals who have opposing views from their own or who are experts in allied fields. For example, anthropological linguists do well to partner with formal linguists, neurolinguists, and archaeologists to search for the origins of spoken language. Researchers such as Marc Hauser, Noam Chomsky, Morten Christensen, and Simon Kirby have commented on the need for cross-collaborative efforts to study the evolution of language and languages, and they have been collaborative themselves.
Philologists who, for the most part, were later to be known as comparative philologists and, subsequently, comparative linguists, started out with questions concerning spoken languages and their origins. One of their main areas of inquiry was guided by material gleaned from artifacts that survived from ancient civilizations; most of these included writings and monuments from the Sumerian civilization dating between 5000 and 2000 BCE. Researchers hypothesized about modes of spoken language by evaluating ancient patterns of writing, that is, by separating out demarcations from other elements of what might be a grammar. They also strove to classify spoken languages by documenting those that occurred in various parts of the world, creating models of word structures and grammars as well as looking for consistency and similarities from one geographical area to another. This kind of work, of the philologists and comparative linguists, was, however, once limited by the Societé de Linguistique de Paris in 1866 as a response to the proliferation of ill-conceived explorations into the evolution of language prompted by the publication of Darwin’s On the Origin of Species. It was not until the last decade of the 20th century that research on the origins and evolution of languages had a resurgence among a new breed of anthropological linguists, who were not at all like their comparative linguist predecessors, as well as among teams of researchers from fields such as computer science, neurology, biology, and formal linguistics. Though still using theories derived from formal linguists, new paradigms for research included language competence and communication theories.
In 1997, Philip Parker produced a statistical analysis of over 460 language groups in 234 countries, showing the connections between linguist cultures and life issues in their societies (e.g., economics, resources that defined cultures, and demography). He used variables such as the availability of water, transportation, and means for communication to see patterns regarding the development of nations, especially in third world countries. Parker’s work can be studied to understand the difficulties involved in trying to classify languages as well as in identifying new languages or finding those that are going extinct.
Those who identify themselves as sociolinguists are concerned with the study of how individuals use language to be understood within particular communication contexts. This includes research about sports, courts of law, teen talk, conversations between individuals of the same or different genders, and even ITM (instant text messaging). Sociolinguists primarily concentrate on spoken languages or on gestural languages, such as American Sign Language. However, several scholars have become curious about written languages, especially about literacy. Rather than using formal linguistics, as did the structural linguists, sociolinguists use observations about the human condition, human situations, and ethnographic data to understand language. When their research includes formal linguistic analyses, it is to demonstrate language interpretations and comparisons of language use within particular social contexts.
Sociolinguists are well acquainted with the theories of Saussure. Although Saussure was only 2 years old when Darwin wrote On the Origin of the Species (1859), linguists in the early 20th century have remarked that Saussure showed an awareness of Darwin’s ideas in his lectures on language change and evolution. At that time, those linguists who were concerned with anthropology or language growth and language interactions within societies more than with the formal characterization of languages attended to linguistic performance rather than to linguistic competence. This was the period of structural and comparative linguistics. Until the early 1950s, the term sociolinguist was not used. In the following two decades, researchers were involved in what now is commonly identified as sociolinguistic studies, but these individuals were not fully recognized within the subfield of linguistics called sociolinguistics until well into the 1970s.
Sociolinguists are especially concerned with the processes involved in language use in societies. Their research designs are commonly ethnographic. Dell Hymes has been identified as the father of the ethnography of communication approach used in sociolinguistic research. As an anthropologist, Hymes observed that those in his field and those in linguistics needed to combine theoretical dispositions to fill in the gaps in each other’s research. He saw that the legacy of Boas resulted in many anthropologists thinking about the use of linguistics in their work only at the level of a tool as Agar has interpreted it. Hymes also saw that linguists were focusing on what he thought was too much formalism. An ethnography of speaking would enable those in each field to get a fuller picture of the language processes used by individuals, as well as reasons for their use, processes that are associated with one of a variety of social constructs—politeness behaviors, courts of law, and the deference to the elderly.
Deborah Tannen’s research, concerning gender differences in conversations in the United States in the 1980s, involved the use of video to compare the conversational behaviors of children, teens, and adults who were paired by gender and put into a room for a short time with only their partners. Her work has added much to understanding the effects of communication behaviors, by environment and human nature, along the continuum to adulthood. Although Tannen could have dissected her subjects’ conversations using formal grammatical methods, she was much better able to answer her research questions by analyzing the processes, both verbal and nonverbal, that they used. In fact, the nonverbal behaviors were especially revealing.
Tannen’s previous research had prepared her for her gender comparison study. In one early piece of research, she participated as a collaborator with several other linguists to observe and subsequently characterize differences in verbal interpretations of a film by individuals from several nations around the world. This led to the publication in 1980 of The Pear Stories, edited by Wallace Chafe. Tannen compared the narratives of Athenian Greeks to those of American English speakers and concluded that the style and form of interpretations vary according to how people of a given culture adopt the conventionalization of rhetorical forms used in their culture. She supports her claims with research from sociolinguists John Gumperz and Dell Hymes. Her comments about cultural stereotypes in this early study are one reason that this work should be reread in the 21st century, especially by political scientists and those concerned about cultural misunderstandings derived from translations between the languages of two nations, particularly when the conversations have consequences for peace between these nations:
The cultural differences which have emerged in the present study constitute real differences in habitual ways of talking which operate in actual interaction and create impressions on listeners—the intended impression, very likely, on listeners from the same culture, but possibly confused or misguided impressions on listeners from other cultures. It is easy to see how stereotypes may be created and reinforced. Considering the differences in oral narrative strategies found in the pear narratives, it is not surprising that Americans might develop the impression that Greeks are romantic and irrational, and Greeks might conclude thatAmericans are cold and lacking in human feelings. (Tannen, 1980, p. 88)
The concept of language mixtures is one that has been identified through sociolinguistic research. It includes areas of oral communication accommodation between people who speak different native languages as well as the use of new “half-languages,” as McWhorter calls them—that is, pidgins and creoles. As people migrate, voluntarily or as a consequence of a historical situation (e.g., the great potato famine, the slave trade), they have a need, to a greater or lesser extent, to communicate with those who do not speak their language. For example, the United States experienced large waves of immigration from the mid1800s to the 1920s. As these new Americans populated cities on the East Coast and continued to settle throughout the United States, they maintained their original cultures in ethnic neighborhoods and were comfortable speaking their native languages. Schools accommodated these immigrants, providing instruction in English as well as in dominant European languages. Across the neighborhoods, individuals tried to communicate for economic reasons and for socialization. Sometimes, the elderly preferred to speak only their mother tongue, even insisting that their children or grandchildren do so whenever in their presence. Regardless, these new citizens created what linguists call an interlanguage, which includes words and expressions from both the new language and their mother tongues.
Interlanguage is defined in one of two ways. It may be that an individual creates or mixes terms between the native language and the target language. A Polish immigrant might use an expression such as “Ja be˛de˛ is´ do marku” (“I will go to the market”), substituting the first syllable of the English word, market, in the Polish word, rynku, and retaining the final syllable of the Polish word. ( Rynku is the Polish word for market.)
A second way that interlanguage occurs is in situations where each individual in a conversation uses clever verbal manipulations. It may be that the speaker imposes the syntax of the native language on the order of words in the new language. For example, Larry Selinker, an expert in interlanguage, gives an example where an Israeli says, “I bought downtown the postcard.”
As individuals become bilingual, they will switch between the two languages in their attempts to be understood or to clarify for the listener what they mean. This behavior is called code-switching, and over time, individuals who are in constant communication may create new words and expressions that possess characteristics of each or both languages.
Studies of interlanguage and code-switching provide information regarding the development of new languages but especially new words. Researchers such as Joshua Fishman have observed a special form of language mixture that evolves slowly within speech communities—that is, groups or societies that use one variety of their native language. An example of this situation, called diglossia, is a language vernacular. Some languages have one formal language variety and one or more informal ones. Vernaculars are often called the “common language” of the people. What is very interesting about diglossia is that in some places in the world, as in some parts of Africa, two speech communities may live side by side and never mix. Speakers of one language will continue to use their mother tongue when addressing individuals who speak another language. Yet the latter will understand the former but never adopt any of the morphology, phonology, or grammar of those speakers.
Pidgins are formed when speakers of one language interact with those of a second language for particular purposes. As with language mixtures, they are called contact languages, and for the most part, they developed during the colonial periods when European traders sailed to countries in Africa, as well as to South America, and to islands in one of the great oceans. However, pidgins may arise anytime speakers of two languages have a particular need to communicate. They are characterized by a mixture of words from each language (e.g., French and Eˇwé, an official language of Togo) in a somewhat “abbreviated” kind of grammar. Frequently, pidgin languages die out as individuals become bilingual or if there is no longer a need for communication between speakers of each natural language. Many pidgin languages that prevail become regularized from one generation to the subsequent one, and they take on well-defined morphological and syntactic rules. When this happens, they are then called creole languages. McWhorter observes that, just as natural languages may occur in one of several varieties, creoles, too, may have more than one variety. Creoles often have the same generative properties as natural languages. One very well studied creole language is Tok Pisin of Papua, New Guinea. It is estimated that between 4 and 6 million people speak it.
Linguistic studies regarding language mixtures, including pidgins and creoles, have been a source of valuable information to historians and geographers as well as to anthropologists and sociologists. Besides gaining an understanding about more recent history, especially the colonial eras and migrations in modern times, researchers have been able to hypothesize about the structures of and changes in societies where there has been contact with groups from countries and nations distant from themselves. Those linguists who promote theories of linguistic relativism are able to better understand the effects of language change brought on by social interactions among peoples from different parts of the world. As moderate functionalists, they are also able to evaluate language use by integrating generative functional linguistics into their evaluations.
An edited text by Joseph, DeStephano, Jacobs, and Lehiste (2003) draws on research that is particularly important to sociolinguistic studies—that is, the nature and relationship of languages that may or may not share the same cultural space. In When Languages Collide: Perspectives on Language Conflict, Language Competition, and Language Coexistence, linguists from diverse subfields share essays regarding, as the editors say, “a variety of language-related problems that affect real people in real situations.” Although each one represents the views and perspectives of particular researchers, taken together, they give a powerful message showing that the complexities of language and languages are entities that are indicative of the complexities of human behavior and the structure of societies.
As is the case with so many texts in the subfield of sociolinguistics, When Languages Collide permits much reflection on the multiple roles of language through the paradigms of both formalism and functionalism. It especially provides thought regarding language endangerment and societal change. Among the topics discussed are language ideologies (i.e., the role of governments in determining language use), language resurgence (e.g., increased speakers in the Navajo nation), and language endangerment. Joshua Fishman, an eminent sociolinguist, expounds on the growth of literacy and the political structures of society. His chapter is especially intriguing since most of his other research involves studies of spoken language. Julie Auger describes the growth of literacy among people in the border areas of Belgium and northwestern France. In this area, a fragile language, Picard, has a growing literary tradition in spite of the fact that few individuals speak it.
Just as there has been a resurgence in studies about the classification of existing languages and cultures, there have also been linguists and anthropologists who have tried to understand the reasons for language endangerment and the extinction of languages. They have attempted to keep records about endangered languages, looking at linguistic structures and geographic areas where endangerment predominates. David Crystal, considered one of the world’s foremost experts on language, has compiled research about the language survival situation and reasons for language extinction. In Language Death, Crystal (2000) gave calculations that show that in 100 years between 25% and 80% of the world’s languages will be extinct. As of 2005, the actual number count of known languages (spoken and signed) was estimated as 6,912. Thus, approximately 1,728 languages, as a lower estimate, could be extinct by the year 2105. He states that currently 96% of the world’s population speaks only 4% of existing languages.
Research about language death is a relatively new pursuit. Just as societies have become concerned with ecology, global warming, and survival, they are becoming more aware of the case of linguistic ecology. There currently exists an International Clearing House for Endangered Languages at the University of Tokyo and an Endangered Language Fund in the United States. A new subfield of linguistics, ecolinguistics, has been designated for concentration on issues of language diversity and language death.
Reasons for extinction include the lessening of the numbers of peoples who speak the language, as in Northern (Tundra) Yukaghir, Russia, as well as language assimilation into a language that predominates in a geographic area. Only around 120 individuals in Northern Yukaghir speak the indigenous language of the villages. It is believed that this language is at least 8,000 years old. All of the community of 1,100 people can speak a second language, Yakut, which is the name of the Russian republic in which they live. The two indigenous languages are spoken by the elderly at home. In Ethnologue: Languages of the World, Gordon (2005) noted that these people have no ethnic identity due to their assimilation with other groups in the area, such as theYakuts and the Evens.Yet the NorthernYukaghirs do share cultural bonds as explained in the research of Elena Maslova, a formal linguist.
Salikoko Mufwene has summarized the work of linguists, such as David Crystal and Jean Aitchison, regarding language death, decay, murder, and suicide. He also has conjectured about the possibilities for language persistence and language ecology. To do so, Mufwene looks to the social dimensions of language characterization as he has researched it within the subfield of sociolinguistics. He, like other linguists who are concerned about societies and cultures, takes a historical perspective and includes questions and answers from work on migration and colonization in particular areas of the world (e.g., Sub-Saharan Africa). His research adds a special dimension to the subfield of sociolinguistics, which he calls sociohistorical linguistics.
Psycholinguistics is a subfield of linguistics in which researchers study psychological processes involved in language development and use. The primary focus for the psycholinguist is language behavior, and this may include studies of memory, cognition, speech processing, auditory processing, and reading. This subfield, just as sociolinguistics, is a relatively young one. From the late 20th century to the early 21st century, there has been an exponential growth in the number of psycholinguistic studies concerned with cognition and language processing. What is particularly interesting about this field is its focus on the individual as a speaker, writer, and thinker.
Members of the subfield of psycholinguistics are typically identified within the field of psychology and to some extent in educational psychology. Since a primary goal is to understand connections between the mind and language, there appears to be much more collaboration of psycholinguists with others in allied fields than there is among other subfields of linguistics. Perhaps this collaborative nature exists because a large body of psycholinguistic research has to do with language acquisition. Those involved in developmental psycholinguistics have provided a wealth of research regarding language learning in infants and children, cross-linguistic issues in language development, and correlates of brain development and language maturation.
Although most psycholinguists follow the theories of formalism, many may be identified as functionalists. This is especially true among developmental psycholinguists who study child discourse, bilingualism, and language education. Since psycholinguists have a proclivity for collaboration, researchers who are in fields of applied linguistics (i.e., fields that study language use in a variety of situations) tend to be collaborators with psycholinguists and educational psychologists. For example, Evelyn Hatch, a researcher in second-language learning and discourse, uses a variety of research theories that relate to the theory of knowledge known as constructivism. Annette KarmiloffSmith, who did much early work on children’s narrative interpretations, focuses on the fields of developmental psychology and neuroscience. It has been stated elsewhere that Daniel Slobin’s contributions in developmental psycholinguistics have enabled the field of linguistics in general to understand language acquisition among children in nations that represent a range of spoken language families.
Other concerns of psycholinguists have to do with language perception and language processing. A correlate of these areas is that of forensic linguistics, a growing subfield that has, as one of its areas of focus, the study of language interpretation and expression in matters of the law and crime. Knowledge of the use of memory and language perception is important to forensic linguists, and they are able to draw from the larger subfield of psycholinguistics for their own research.
Language Identification and Tools of Linguistic Studies
The large family of linguists includes those who are driven to research using formal theories and those who are motivated by paradigms of functionalism. At one end of the spectrum are the conservative formal linguists, whose interests are in how the mind uses language and the identification and description of universal principles of grammar, as well as those that are unique to every language group. At the other end of the spectrum are the extreme functionalists, whose work is to uncover meaning in the conversations (verbal discourse) of individuals and to see deductively what is similar and what is different in the language use of peoples. Some linguists look at their research through the lens of the historian or anthropologist; others look through the lens of computational models, as these models are able to mimic natural language. And others take a route of applied linguistics to bring research down to a utilitarian level, as in forensic psychology and in psycholinguistics as a component of educational psychology.
Researchers may be especially concerned about the actual language or languages for study, or they may be more concerned with the individuals in societies and the conditions of their lives that are determined by their language or languages. Whether a sociolinguist or a computational linguist, the resources used in linguistics include words, sentences, conversations, gestures, body language, writings, and a range of nonverbal signals. Linguists separate and manipulate these resources in the main categories of phonology, morphology, syntax, semantics, and pragmatics. These categories apply to analyses of spoken language as well as signed languages, of which there are 119 known throughout the world. Of these, American Sign Language (ASL) is most studied by formal linguists, as well as sociolinguists and other functional linguists.
Languages are also delineated as natural or contrived. Simply put, a natural language is any human language that has developed naturally over time. Invented languages are not a significant area of study by linguists, although this area can be of value regarding computer paradigms. Computational linguists and those involved in the field of artificial intelligence study natural languages and try to figure out how to simulate these in computer technology.
There are many linguists who believe that a research paper of Steven Pinker and Paul Bloom (1990), “Natural Language and Natural Language Selection,” was the main driving force for the spread of legitimate studies about language evolution into the 21st century. As stated previously, there had been a moratorium on this area of research imposed by the Societé de Linguistique de Paris in 1866 due to an unwieldy number of studies of questionable integrity that arose after the 1859 publication of Darwin’s On the Origin of Species.
Phonology refers to the sound system of a language. Descriptive linguistics, during the time of the structural linguists, provided a large body of information regarding the articulation of speech, the classification of speech sounds in natural languages around the world, and the characterization of the brain areas in which receptive and expressive language originate and function. Regarding ASL, linguists only began to characterize phonology (which involves facial expression and physical involvement other than the hands) in the latter half of the 1900s, especially after ASL was acknowledged as a real language.
Through linguistic studies in the early 20th century to the present, there has been much research in developmental linguistics regarding language acquisition and the growth of language as it occurs contrastively in the speech development of infants and children throughout the world. Slobin’s research, comparing the expressive language of children in countries where languages belong to different language families (e.g., Turkish, Korean, Estonian, English), has proven invaluable for further studies of language acquisition. For example, he observed that initially all infants babble similar sounds, but those that are not common in the speech of a particular language drop off and are “forgotten” as the infant says his or her first words generally around the age of 12 months.
Research on the history of the phonology of languages, such as that of John McWhorter, provides a window into the possible ways that languages have changed as well as the development of new languages. McWhorter gives an example of the movement from Latin to French. In the Latin word for woman, femina (FEH-mee-nah), the accented syllable remains and the two weaker syllables are dropped as this word becomes femme (FAHM) in French. McWhorter comments that new words and languages develop with the “erosion” of sounds from the parent language to the new one.
Change in the phonology of languages is believed to be a very slow process, as is the modification of vocabulary forms. These precede changes in grammar. However, research by Atkinson, Meade, Vendetti, Greenhill, and Pagel (2008) indicates that there may be rapid bursts, which they call punctuational bursts, that occur at the beginning of the development of “fledgling languages” that may be derivatives of older languages. These characteristics are then followed by a period of slower development. The authors observed this in their studies of the languages of three language families and hypothesized that it holds for phonology, morphology, and syntax.
Anthropological linguists are especially curious about the studies of phonology to find out when humans first began to speak. Biologists as well have proposed theories based on the findings of archaeologists and paleontologists regarding the evolution of humans. Although there is evidence from fossils that the anatomical parts for speech were in place 150,000 years ago, scientists question when vocalization was cultivated for the use of communication. Even though the physical structures were available in the middle Paleolithic era, archaeological evidence of social organization suggests that the liberal use of speech and verbal language might have more reasonably started around 40,000 years ago during the Upper Paleolithic explosion.
One of the reasons that linguists from several subfields might find it worthwhile to collaborate with other researchers—particularly those in speech perception, audiology, neuroscience, and computational linguistics—is that each has expertise regarding different aspects of phonology. One possible goal of the collaboration might be to enable applications of new knowledge about phonology to support the development of instrumentation or technology to fulfill a medical or engineering purpose. For example, the development of the cochlear implant by individuals such as Graeme Clark involved a team of experts from 10 fields, including electronic and communication engineering, speech processing, speech science, and psychophysics.
Morphology is a branch of grammar that describes the combination of sounds into words, the development of the lexicon of a language. As with phonology, morphology is rule driven. Crystal (1985) explained that there are two divisions of morphology, inflectional morphology and derivational morphology. The study of the structure of words is especially interesting since they are representations of actual entities in a language that involve meaning. Early structural linguists were able to look at the use of words and the growth of language lexicons in order to situate them within the grammar of a language. For example, Boas, in his Handbook of American Indian Languages (1911), called attention to the way that Eskimos (Aleuts) take a single root word and combine it with other morphological components to designate different words for snow according to their unique experience of it in Alaska. This point has frequently been discussed by others, including Benjamin Whorf, who used it to support his theory of linguistic relativism.
In generative linguistics, morphology and syntax are considered central foci for grammar. Crystal explains that the same syntactic rules apply to the structure of words, as well as they do to phrases and sentences.
Sometimes, one may hear the comment, “I don’t have a word for that in my language.” And sometimes, it may take more than a single word to describe a concept captured in another language by a single word. As with the example above regarding snow, linguists may argue for linguistic relativism using similar comments. What intrigues linguists is the way that words may represent degrees of meaning for an entity. For example, alternative verbs for walk give different impressions of movement in a conversation or text (e.g., strut, saunter, shuffle ) . Linguistic studies about conversations and word use provide information regarding the growth of languages and language change, even at the level of morphological analysis.
Wierzbecka explains that polysemous words (i.e., words that have many meanings) are a special case for the study of languages. It is not that there may not be an equivalent word in one language available in another but that a particular usage of the word is not permitted. She gives the example of the word freedom, comparing it in five languages. In English, freedom can be used in the context of freedom from (interruption), freedom to (speak), and freedom of (choice). In Polish, the word wolno´sc´ is used to represent moral and political issues, matters of life and death. Unlike English, it cannot be used in a context such as freedom of access, freedom of movement. It can, however, be used as freedom of conscience.
Syntax refers to the grammar of a language. The study of syntax involves knowledge of the rules that govern the ways that words combine to achieve meaning in a given language. It is at the level of syntax that so much of the work of linguistics has been especially important. Whether in formal or functional paradigms, linguists have concentrated on the sentence and on syntax as primary characteristics that separate humans from the rest of the animal world. The work of Chomsky has contributed not only to the formal understanding of language structure but also to the enabling of researchers to understand something that makes humans special. Belletti and Rizzi (2002) stated it this way:
The critical formal contribution of early generative grammar was to show that the regularity and unboundedness of natural language syntax were expressible by precise grammatical models endowed with recursive procedures. Knowing a language amounts to tacitly possessing a recursive generative procedure. (p. 3)
Formal linguistics, as well as psycholinguistics, makes heavy use of syntactic and morphological structures in its research. There are several methodologies for syntactic, grammatical analysis. Besides those that are based on Chomsky’s generative transformational grammar, there are mathematical methods, such as that of Montague, and methods that probe universal grammar, such as that of optimality-theoretic syntax.
In the case of discourse analyses, those who might be considered conservative functionalists, using the definitions of Van Valin, sometimes combine methods—more of a formal approach to observations of syntax in conversational discourse.
Semantics refers to the study of meaning. Pragmatics refers to the connections between specific contexts and meaning. Although these two are specific areas of linguistics, together they have provided for theories of understanding and human cognition.
The field of semantics has been especially important to modern language philosophy and logic. Philosophers such as Rudolf Carnap (1891–1970) and W. V. O. Quine (1908–2000) delved into language philosophy with consequences for those studying artificial intelligence. Quine, in particular, explored the works of Chomsky and formalism in an attempt to verify his own direction regarding logic and language. Semantics also includes studies of speech acts and conversational implicature. John Searle, a prominent language philosopher who is identified with the free speech movement at Berkeley, has contributed greatly to speech act theory. This theory involves the search for meaning in what individuals say, and that requires further understanding of language contexts as well as linguistic culture. Conversational implicature is one component in speech act theory and has to do with particular conventions of speech in which there may be complicated underlying meanings. For example, a request at dinner, “Can you pass the salt?” does not require a yes/no answer but rather an acknowledgment in action by the guest. An understanding of speech act theory enables anthropological linguists to draw connections regarding the development of cultures as they observe commonalities in the use of language within particular cultural environments (e.g., traditions of rights of passage to adulthood and interactions in the marketplace).
Applications of meaning to grammar have practical consequences for computational linguists as well as for understanding political and other spoken and written discourse. Thus, those in the subfields of psycholinguistics and sociolinguistics have provided much evidence, regarding the role of semantics in a wide range of grammatical and conversational contexts, among a wide number of diverse cultures around the world.
Concerns that have arisen due to linguistic and philosophical theories regarding semantics have to do with variations in both speaking and writing. Two of these areas are ambiguity and referencing. In many spoken languages, such as English, listeners accommodate much ambiguity in conversation. For example, sentences such as “Bill told John that he loved Mary” are well tolerated. Spatial relationships and nonverbal cues help listeners disambiguate referents in statements such as “Here it comes,” when contextualized within a situation such as a baseball flying into the spectator section of a ballpark.
Pragmatics plays an important role regarding semantic interpretation. Subfields in both formal linguistics and functional linguistics concentrate on identifying and interpreting the meaning of statements as they are applied to the real world. Areas of speech acts, conversational implicature, ambiguity, and referencing all involve consideration of real-world contexts. For example, a sentence such as the following is usually understood because of an individual’s prior knowledge of how the world works: “Sarah pulled the rug next to the chair and then sat on it.” In this sentence, a psychological principle known as parallel processing influences the listener’s determination of the referent for the pronoun it. One wants to match the rug as the referent; however, pragmatically speaking, it appears more sensible to choose the chair.
Studies of meaning in linguistics, whether at the philosophical level or that of human culture and society, involve each of the areas of phonology, morphology, and syntax to greater and lesser extents. Although these areas are often dealt with separately in research, they also may be used in one of several combinations or pairings.
It is particularly important for those in the field of anthropology to recognize and understand a wide range of linguistic theories in order to support their investigations and the works of cultures and societies. Rather than considering linguistics as an ancillary tool for research, as was the case with Boas, the new anthropologists of the 21st century need to consider the constitutive nature of language to humanity. The range of characteristics that constitute the matter of linguistics is so broad, however, that researchers of necessity need to collaborate in order to address their particular questions. Further study of the involvement of linguistics in the field of anthropology will require of the individual much reading in subfields, such as those described in this research paper.
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LATIC–A linguistic analyzer for text and item characteristics
Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft
* E-mail: [email protected]
Affiliation Faculty of Education, Educational Psychology, University of Hamburg, Hamburg, Germany
Roles Conceptualization, Methodology, Software
Roles Conceptualization, Writing – review & editing
- Nadine Cruz Neri,
- Florian Klückmann,
- Jan Retelsdorf
- Published: November 3, 2022
- Reader Comments
Analyzing texts and items regarding their linguistic features might be important for researchers to investigate the effects of the linguistic presentation as well as for practitioners to estimate the readability of a text or an item. The Linguistic Analyzer for Text and Item Characteristics (LATIC) is a software that enables users to analyze texts and items more efficiently. LATIC offers a multitude of features at three different reading levels and can be used for texts and items in four different languages: English, French, German, and Spanish. It is open source, free to use and designed to be user-friendly. In this study, we investigated LATIC’s performance: LATIC achieves highly accurate results, while being extremely time saving compared to human raters. While developing LATIC, the respective features are tested continuously to ensure a high accuracy of results in the future.
Citation: Cruz Neri N, Klückmann F, Retelsdorf J (2022) LATIC–A linguistic analyzer for text and item characteristics. PLoS ONE 17(11): e0277250. https://doi.org/10.1371/journal.pone.0277250
Editor: Sergio Consoli, European Commission, ITALY
Received: March 15, 2022; Accepted: October 22, 2022; Published: November 3, 2022
Copyright: © 2022 Cruz Neri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: In our analyses, we worked with multiple data. First, we worked with the MULTEXT-East 4.0 corpus (Erjavec et al., 2010) and the TIGER corpus 2.2 (Brants et al., 2004) to investigate how accurate the parts of speech tagging is. Both corpora are freely available online under https://www.clarin.si/repository/xmlui/handle/11356/1043 and https://www.ims.uni-stuttgart.de/documents/ressourcen/korpora/tiger-corpus/download/start.html . Since the data was obtained by third parties, we cannot share the data due to copyright reasons. However, we confirm that other authors could access the data in the same way we did. We did not have any special access or privileges that other authors would not have. Second, we worked with lists containing the most frequent words in English and German to examine the accuracy of the syllable count. For testing the German version, we worked with a list provided by the Leipzig Corpora Collection (Goldhahn et al., 2012), which can e downloaded under https://wortschatz.uni-leipzig.de/de/download/German . Again, we cannot share this list due to copyright reasons, but we confirm that other authors could access the data in the same way we did. We did not have any special access or privileges that other authors would not have. For the English version, we created a list ourselves. https://en-syllables.latic.software/ . Third, we worked with ratings of human coders. These are openly available on https://rating-results.latic.software/ .
Funding: The authors received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
In the last few decades, many tools have been developed to analyze text and item characteristics regarding their linguistic and syntactical complexity. To name but a few, the tools TAACO (Tool for the Automatic Analysis of Cohesion) [ 1 ] and ReaderBench [ 2 ] are available for English texts and items. However, tools to date all have their own strengths, but might also have a few shortcomings regarding their features and accessibility for researchers and practitioners. For instance, some tools only allow the analysis of texts and items in one language (e.g., ARTE [Automatic Readability Tool for English] [ 3 ]) or fail to report accuracy measures of the implemented features (e.g., RATTE [Regensburg Analysis Tool for Texts] [ 4 ]).
This article introduces a new tool that tries to overcome some of these shortcomings: A Linguistic Analyzer for Text and Item Characteristics (LATIC). LATIC enables users to analyze texts and items automatically at three reading levels: the word, sentence, and text level. Using the Stanford CoreNLP [ 5 ], LATIC annotates parts of speech (e.g., nouns, verbs) and counts them. Additionally, LATIC can calculate different traditional readability indices (e.g., Flesch Reading Ease [ 6 ]; Läsbarhetsindex [LIX] [ 7 ]) and other objective measures (e.g., average sentence length, word count). To date, LATIC is available for English, French, German, and Spanish and can be used on most operating systems without a registration or even an installation being needed.
In this article, we aim to introduce LATIC and highlight its features. First, we illustrate why it is important to analyze linguistic text and item characteristics and how LATIC can help users in doing so. Therefore, we show how LATIC can be used and which features LATIC (version 1.2.2) provides to date. Second, we investigate LATIC’s performance in terms of accuracy and time savings (compared to human raters). Finally, in the discussion we elaborate on advantages as well as limitations of LATIC comparing it to other tools.
The importance of analyzing linguistic text and item characteristics
It is widely known that reading processes depend on reader characteristics, such as reading skills [ 8 – 10 ], but also on text and item characteristics [ 11 , 12 ]. Regarding the latter, especially the linguistic complexity has gained a lot of attention in the past decades [ 13 , 14 ]. In order to ensure that readers are able to comprehend written texts and items, it is essential to consider how linguistically complex these texts and items are. Many researchers and educators rely on traditional readability indices [ 15 ], such as the Flesch Reading Ease [ 6 ] and the SMOG (Simple Measure of Gobbledygook) [ 16 ] to estimate the complexity of a text or an item. However, it is argued that these readability indices might not be appropriate predictors of linguistic complexity since they are usually based on a few variables only, such as word and sentence length [ 17 ]. In fact, it is known that text and item characteristics that are not implemented into these readability indices can also generate difficulties in comprehension. The number of prepositional phrases, for instance, hinders comprehension and is associated with lower performance of students [ 18 ] and adults [ 12 ]. Hence, it is important not to rely on traditional readability indices only [ 17 ], but to analyze texts and items in more depth.
Many researchers draw on secondary analyses of test items and examine how specific text and item characteristics are linked to individuals’ performance on those test items [ 12 , 18 ]. For this, it is necessary to analyze said texts and items as a first step. Text and item characteristics can be manually tagged, coded and counted. For instance, Shaftel et al. [ 19 ] created a coding list for raters in order to rate test items regarding 17 characteristics. However, this procedure might be error prone and time consuming. Thus, there are many natural language processing (NLP; see [ 20 ] for a detailed description) tools that automatize this process in order to save resources [ 21 ]. There are many tools researchers and practitioners can choose from depending on the linguistic analyses they are aiming for. For instance, there are many (online) tools for parts of speech tagging, such as the online demo version of the Stanford CoreNLP [ 22 ]. In case users are interested in readability indices, they can opt for ARTE [ 3 ], when calculating English texts and items or RATTE [ 4 ], when analyzing German texts or items. Users are even confronted with more tools to choose from, when they want to analyze rather objective text and item characteristics, such as sentence length or word count (e.g., Coh-Metrix [ 23 ]; the SiNLP [Simple Natural Language Processing Tool] [ 21 ]).
However, it might be time consuming having to use several tools at once, which all might have their own strengths but also shortcomings. For instance, most tools are only available in one language [ 1 , 3 , 23 , 24 ]. More importantly, to the best of our knowledge, several developers provide no or only limited accuracy measures for the individual features implemented in their tools [ 4 , 21 ], which makes it difficult to decide whether the results are reliable or not. With LATIC, we aim to provide users with a tool that resolves some of the shortcomings other tools have. In the following, we introduce our tool and investigate how accurate LATIC’s results are compared to human ratings. In the discussion, we will further compare LATIC’s features with other tools, highlighting advantages as well as limitations of the tool.
The software LATIC
LATIC is a java application that is free and open source. LATIC can be used on Windows and Linux (e.g., Debian, Ubuntu) operating systems as well as on macOS to analyze texts and items. The duration of text and item analyses depends on the performance of the computer and the extent of the analyses. In our test runs, the analyses usually took a few seconds only.
For some features (i.e. tagging parts of speech), LATIC relies on a NLP tool. For LATIC, we used a NLP tool named Stanford CoreNLP [ 5 ]. The Stanford CoreNLP [ 25 ] is Java application providing users with several linguistic annotations for any kind of text, including parts of speech tagging. We always incorporate the latest version of the Stanford CoreNLP [ 5 ]. When submitting this manuscript, version 4.4.0 was the newest.
How to use LATIC.
LATIC is an intuitive and easy to use software that can be downloaded on https://download.latic.software . Users are able to use the software after installing LATIC (a step-by-step instruction is provided with the download). However, if users do not want to install LATIC, they can start it via the console. With using LATIC, data security is guaranteed since all analyses are performed on users’ local computers.
Fig 1 depicts the user interface of LATIC (version 1.2.2). In order to analyze a text or an item, users first need to choose the language of the text or item on the upper right. Second, users must enter the text or item in the text field or upload a document containing the text or item. Third, the users choose the characteristics that shall be analyzed on the right. Finally, the users need to click on the “Analyze” button to display the results. This step might take a few seconds. If users want to save their results, they can do so by clicking on the “Save file” button and choosing an appropriate file format, such as.csv files. The “Delete” button enables users to delete the results. A more detailed example is uploaded on GitHub [ 26 ]: It demonstrates the analysis of a famous tale and includes step-by-step instructions (including screenshots) to obtain the results.
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If users need help, they can click on the “Help” button on the top row. They are provided with the option to write an e-mail or to retrieve the documentation of the software [ 27 ], including step-by-step instructions and detailed information about every feature of LATIC (see next section).
In order to ensure correct results, users need to keep a few factors in mind. First, similar to other software, it is essential to use correct spelling for reliable results, especially with regard to the parts of speech tagging. Second, abbreviations and measuring units should be avoided since they tend to bias both the tagging and the calculation of item characteristics (e.g., readability indices, average word length). Third, cardinal numbers should be written as Arabic numbers if tagging parts of speech is relevant for the analysis of the item. To calculate other characteristics, such as the syllable count or a readability index, the cardinal numbers should be spelled out. Finally, it is important to note that the Stanford CoreNLP [ 5 ] tags every juxtaposition of characters separated by spaces or punctuation marks individually. Hence, for instance, Red Sea would be counted as two words, each getting the tag of a proper noun.
LATIC allows users to analyze texts and items regarding their characteristics at different levels, i.e., the word, sentence and text level. Table 1 includes all features of LATIC. Due to the amount of features that LATIC provides, going into detail for every single features, would go beyond the scope of this paper. In the documentation of LATIC [ 27 ], we present every single feature of LATIC in much more detail, including short explanations and examples.
First, LATIC enables the users to tag and count different parts of speech contained in a text or an item. The tagging of parts of speech is mostly based on the Stanford CoreNLP [ 5 ]. The only exceptions are the taggings of primary interjections and symbols in the French, German, and Spanish versions due to frequent errors in our test runs; these taggings are made by LATIC. The annotation in English is based on the Penn Treebank Tagset [ 28 ]; for French, German and Spanish the UD (version 2) tagset is used [ 29 ].
Furthermore, LATIC counts up the tags, thus providing the user with an absolute frequency of the parts of speech chosen for analysis. LATIC is also able to display the tags for every word or rather character juxtaposition. This feature enables the user to examine the tags given out by the Stanford CoreNLP [ 5 ].
Second, LATIC enables the user to analyze texts and items regarding other objective characteristics at all three levels, such as the average word and sentence length (see Table 1 ).
Third, LATIC’s features include the calculation of several readability indices (see Table 1 ). As noted above, traditional readability indices are heavily criticized [ 17 ] and we mostly agree with the critique. However, since the calculation of readability indices can be helpful for some research questions [ 15 ], we want to enable users to calculate them more easily. One must note that not every readability index is available in all languages because readability indices are not necessarily transferrable to other languages [ 30 ]. For instance, the Flesch Reading Ease [ 6 ] and the SMOG [ 16 ] for English texts and items needed to be adapted for the German language, resulting in the Flesch index [ 31 ] and the gSMOG [ 32 ]. Hence, we only implemented readability indices suitable for the respective languages.
The present study
In this study, we aim to first examine the performance of LATIC in terms of accuracy as well as time saving compared to analyses performed by human raters. For this, we aimed to focus on three aspects. During the development of LATIC, the implemented features were repeatedly tested and bugs were fixed immediately when noticed. However, there were two exceptions: The part of speech tagging by means of the Stanford CoreNLP 4.4.0 [ 5 ] as well as the syllable count. No errors occurred during our multiple test runs regarding all other features (such the counting of parts of speech and the calculation of text and item characteristics). Thus, we particularly wanted to investigate the accuracy of (1) the parts of speech tagging and (2) the syllable count. Furthermore, we aimed to investigate how the performance of LATIC compares to humans’ performance in terms of accuracy as well as time. Examining these aspects, we focus on the English and German language.
Parts of speech tagging
In order to test the accuracy of the tagging provided by the Stanford CoreNLP 4.4.0 [ 5 ], we compared the tokens given out by LATIC with the tokens of two well-known corpora (see [ 27 ] for more details). For the English language, we used the MULTEXT-East 4.0 corpus [ 33 ]. The corpus was manually tagged and consists of the book “1984” by George Orwell [ 34 ]. For the German language, we used the TIGER corpus 2.2 [ 35 ]. The corpus was tagged semi-automatically and consists of newspaper articles [ 36 ].
For evaluating the accuracy, we used around 10,000 tokens of each corpus. These tokens were analyzed with LATIC. However, to compare the accuracy of LATIC in a reasonable way, we needed to take a few steps. First, we deleted all words that were misspelled since a right spelling of words is essential for tagging the parts of speech correctly. Second, we matched the respective tagsets to the ones used by the Stanford CoreNLP 4.4.0 [ 5 ]. Pronouns, for instance, are tagged in much more detail in the MULTEXT-East 4.0 corpus [ 37 ] than in the tagsets used by the Stanford CoreNLP [ 5 ]. Third, we examined how many tokens were tagged correctly by LATIC by means of the Stanford CoreNLP 4.4.0 [ 5 ].
Calculation of syllable count
In the English language, we used a script [ 38 ] to count the syllables. First, we tested the script with N = 9,107 common words ( https://en-syllables.latic.software/ ). In a second step, we optimized the results by adapting the script: We created a list of words that were counted incorrectly and implemented the correct syllable count for each of those words [ 39 ].
In the German language, we created an algorithm to count the syllables. First, we tested this algorithm with N = 9,524 common words according to the Leipzig Corpora Collection [ 40 ]. Again, in a second step, we optimized the algorithm by including (1) additional rules to correctly count the syllables, (2) a list of words, in which the syllables were not correctly counted, and (3) Anglicisms and Gallicisms that are common in German.
Comparison with human performance
We chose five openly available science items that were used in the PISA study (Programme for International Student Assessment) in 2015 [ 41 ]: (1) the introductory text of item S656, (2) S656Q01, (3) S656Q02 as well as (4) the introductory text of item S641, and (5) the item S641Q01. The chosen items ranged from 22 to 101 words and did not include any illustrations.
We asked four people to analyze the items regarding the selected text and item characteristics. The four raters were two student assistants with little experience in linguistic coding, one foreign language assistant with decent experience in linguistic coding as well as the first author of this paper who has a lot of experience in linguistic coding. The first three raters were given an instruction on how to analyze text and item characteristics by the first author. Especially the two student assistants received further explanations and support due to their little experience in coding.
We randomly selected thirteen text and item characteristics that the raters should analyze (see Table 2 ). The raters were asked to (1) give their ratings regarding the characteristics, (2) state how confident they were in their results (ranging from 1 [not at all] to 5 [very confident]), and (3) to measure how long it took for them to analyze each item.
An ethics committee approval was not needed due to solely working with entered text or items in LATIC. Sensitive data, such as from vulnerable people, were not used in developing the software or preparing this manuscript. All four raters of legal age gave their consent in participating in the study.
Regarding the plain comparison of tokens, LATIC correctly tagged n = 8,651 out of all N = 9,989 (86.61%) in the English language, and n = 9,093 out of all N = 9,997 (90.96%) in the German language. As noted above, some modifications needed to be made to ensure a reasonable comparison of the tokens. After these modifications, n = 9,048 out of the remaining N = 9,755 (92.75%) of the tokens were correctly tagged by the Stanford CoreNLP 4.4.0 [ 5 ] in the English language; in the German language, n = 9,271 out of the remaining N = 9,879 (93.85%) of the tokens were correct. Finally, we analyzed the most frequent errors in tagging by examining the first 5,000 tokens. In both languages, the differentiation between determiners and pronouns seemed to be the most challenging (English: 37.84% of all errors; German: 21.74% of all errors). However, this was to be expected since the differentiation between these two word classes is not always clear [ 29 ]. In the English language, the distinction of adjectives and the tagging of (1) prepositions and subordinating conjunctions (11.28% of all errors), and (2) all types of verbs (8.52% of all errors) were by far the second and third most frequent errors. In the German language, the second and third most frequent errors were the distinction between nouns and proper nouns (13.71% of all errors) and the distinction between adjectives and adverbs (9.36% of all errors).
In the English language, the syllables of n = 8,723 words (95.78%) were counted correctly. After adapting the script by Wormer (2021), the syllables of all N = 9,107 test words (100%) were correctly counted. In the German language, the syllable count of n = 9,190 words (96.49%) was correctly calculated. After optimizing our algorithm, the syllable count was correct for n = 9,522 test words (99.98%).
All results by the four raters as well as LATIC’s results are openly available on https://rating-results.latic.software/ . The means of the raters’ ratings as well as LATIC’s results are depicted in Table 2 . In terms of accuracy, the raters felt confident that their ratings were accurate ( M = 4.27, SD = 0.55). In fact, conducting a Mann-Whitney-U-test, there are no significant differences between the coders’ and LATIC’s results, U = 2081.50, p = .885. We also tested whether the overall ratings of each individual rater differed from LATIC’s results by conducting further Mann-Whitney-U-tests. All differences were non-significant ( p > .570).
Despite the differences not being significant, LATIC still achieves higher accuracy than the raters regarding certain text and item characteristics, such as calculating the lexical diversity [ 42 ] and the readability index LIX [ 7 ]. This can be mostly traced back to human raters’ calculation errors, which LATIC as a technical software does not make.
The interrater-reliability (Krippendorff’s α) [ 43 ] varies tremendously between the different text and item characteristics. It can be positively mentioned that the raters reach (very) good reliabilities (Krippendorff’s α ≥ 0.80) for more than half of the text and item characteristics (e.g., number of sentences, word count). However, it becomes apparent that not all ratings made by humans are suitable to work with since some interrater reliabilities are very low (e.g., pronouns, LIX).
In total, the four raters needed M = 4,374.80 seconds (~ 72 minutes; SD = 1,846.25) to analyze all five items regarding the thirteen text and item characteristics. For the analyses of each item, the four raters used M = 2.60 ( SD = 0.55) different tools, which they used M = 7.80 ( SD = 0.45) times. The first author further analyzed the five items by means of LATIC and finished the analyses within 80 seconds, including starting the software and choosing the text and item characteristics on the right sidebar (see section “How to Use LATIC”).
As noted above, there are a few tools and web applications used by researchers to automatize the process of analyzing text and item characteristics. However, these tools and applications might only be partially suitable for envisioned purposes. Thus, in this article, we introduced the new tool LATIC which combines many linguistic features, such as parts of speech tagging, the calculation of objective text and item characteristics as well as readability indices. On the basis of the Stanford CoreNLP [ 5 ], users can analyze texts and items in English, French, German, and Spanish. Drawing on our results, LATIC achieves very high performance in terms of accuracy as well as time saving compared to human raters. Thus, LATIC provides reliable results, while also saving users’ resources.
Strengths of LATIC
In research, it is important to work with reliable results in order to draw plausible and accurate conclusions. Thus, it is essential to work with tools and software that provide researchers with such reliable results. Unfortunately, to the best of our knowledge, many authors also fail to provide measurements of accuracy for their tools or rather for specific features of their tools (for example [ 4 ]). Our article shows that users can analyze linguistic text and item characteristics with high accuracy in a short time with LATIC. The tagging provided in LATIC by means of the Stanford CoreNLP 4.4.0 [ 5 ] reaches very good accuracy in our analyses, which corroborates prior research. In other evaluation studies, the Stanford CoreNLP [ 5 ] usually reaches one of the best accuracy rates compared to other parts of speech taggers [ 44 , 45 ]. Furthermore, the accuracy of the syllable count is also high, especially when adapting the script and algorithm to optimize the syllable count feature. Finally, comparing LATIC’s performance with human raters, the results of our analyses showed that LATIC reaches similar accuracy as human raters. At this point, it is important to note that the interrater-reliability varies tremendously for some linguistic text and item characteristics suggesting that a tool like LATIC might provide more adequate rating results than human raters. In sum, LATIC provides reliable results while saving the users valuable resources, such as time and effort, since the analyses usually only takes (milli-) seconds.
In terms of scientific aspects, many authors traditionally tend to manually tag, code and count text and item characteristics, such as word count [ 9 ] or prepositions [ 19 ]. While doing this, the human raters might fall back on several different tools, which was the case in our study. This might be due to some web applications offering only a limited number of features (e.g., T.E.R.A [ 46 ]) or even just one (e.g., LIX calculator [ 47 ]). LATIC provides the users with the advantage of combining many features in one software that are essential for evaluating the readability of texts and items. As noted above, LATIC as a tool offers users to automatically tag and count parts of speech. Furthermore, LATIC calculates further characteristics as well as traditional readability indices, which are regularly used in research [ 10 , 19 , 48 ].
In terms of breadth of features, most tools and applications only analyze texts or items in one specific language (e.g., ARTE [ 3 ]). LATIC offers the linguistic analyses of texts and items in four languages (English, French, German, and Spanish). Further languages can be implemented into LATIC, if suitable natural language processing tools are available. For instance, besides the languages already implemented into LATIC, the Stanford CoreNLP further supports tagging parts of speech in the Arabic, Hungarian, Italian, and Chinese languages [ 25 ]. However, since none of the authors is fluent in neither of those languages, these could not be implemented (yet).
Regarding usability aspects, some web applications are not always available online (Coh-Metrix [ 46 ]; Stanford CoreNLP demo [ 22 ]), require a registration (e.g., CTAP [ 49 ]; Text Inspector [ 24 ]), or are not free to use (e.g., LIWC [ 50 ]; Text Inspector [ 24 ]). LATIC is open source and free to use. Thus, the code is openly available [ 39 ] and can be audited and modified. Furthermore, users can request features to be implemented into LATIC and may report bugs under https://github.com/florianklueckmann/LATIC/issues or by sending an e-mail to [email protected] . It is also of advantage that the interface is user-friendly and intuitively usable, thus diminishing long training periods. All features are documented in detail [ 27 ], which provides users with essential information on how the results of LATIC are formed. LATIC also enables users to work with the results by allowing users to save and import the results into statistical analysis software, if needed.
Despite the strengths of LATIC, a few limitations need to be discussed. First, in order to obtain the most reliable results possible, users need to follow a few instructions. Similar to other tools and software, this includes ensuring the correct spelling and avoiding abbreviations (see above). This means that users have a high responsibility to ensure the entered texts and items are examined and—if necessary—modified accordingly. This means that, for instance, texts written by students can only be analyzed regarding their characteristics, if the spelling is corrected beforehand. However, it might be the case that researchers or practitioners are especially interested in these errors. In this case, we would recommend using the software GAMET (Grammar and Mechanics Error Tool) [ 51 ]. The software enables users to locate structural as well as mechanical errors within an English text, which is the focal point of the tool. Parts of speech tagging or the calculation of text and item characteristics, however, cannot be executed.
Second, some linguistic characteristics prominent in readability research, such as cohesion [ 52 ] or phrases [ 18 ], cannot be analyzed in LATIC. However, there are a number of tools enabling users to analyze their English texts and items regarding cohesion. For instance, the tool TAACO [ 1 ] estimates over 150 indices of global and local cohesion. While TAACO provides many indices of cohesion, other text and item characteristics, such as readability indices or the syllable count, cannot be calculated. In case, users want to analyze phrases, we recommend the tool TAASSC (Tool for the Automatic Analysis of Syntactic Sophistication and Complexity) [ 53 , 54 ]. While TAASC focuses on estimating the syntactic sophistication as well as complexity of English texts, parts of speech tagging as well as the calculation of the syllable count and readability indices are not available.
Finally, when developing LATIC, we decided to implement the Stanford CoreNLP [ 5 ] rather than other NLP tools due to its high accuracy rates in prior research [ 44 , 45 ]. However, one must note that the Stanford CoreNLP [ 5 ] seems to perform relatively well on generic text and item types, but not in significantly different text types. For instance, other parts of speech taggers outperform the Stanford CoreNLP [ 5 ] in social media texts [ 55 ] or ReadMe documents of software [ 56 ]. The main intent was to provide educators and (readability) researchers the opportunity to analyze linguistic text and item characteristics with LATIC. Thus, we opted for an NLP tool that performed well on rather formal text and item types found, for instance, in the educational context.
The analyses of linguistic text and item characteristics might not only be necessary for investigating research questions regarding language in texts and items, but also for practitioners, such as teachers and educators. Traditionally, texts and items are analyzed manually [ 9 , 19 ], which is very time consuming. LATIC is a user friendly and free to use java application enabling users to analyze texts and items in four languages (English, French, German, and Spanish) regarding their linguistic characteristics. LATIC offers features at the word, sentence and text level including the tagging and counting of parts of speech and the calculating of traditional readability indices. All features were tested thoroughly and reach remarkable accuracy.
We would like to thank Judith Keinath for the editorial assistance with this article.
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- Character Analysis
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Language analysis explores how authors/writers/speakers convey meaning through specific language analysis techniques, such as figures of speech, word choice, sentence structure, and register or tone.
Language analysis introduction
There are a number of levels at which language analysis can be done. These levels are:
- Phonetics and phonology - the sound system of a language; for example, its phonemes (units of sound) and prosody (the rhythm and intonation of language).
- Grammar, including morphology - the analysis of the way words, clauses, phrases and sentences are put together in English. This is sometimes called 'syntax'.
- Discourse - extended communication in a range of texts and contexts.
- Pragmatics - the way language is used in specific contexts.
Language analysis techniques
Tools and techniques for language analysis include: consideration of audience, literary purpose , genre , mode, and literary representation . These help readers understand language on its own terms, as well as in literary, social, and geographical contexts.
How to write a language analysis
Language analysis explores how a text:
- Is shaped according to the context, audience, and the conventions of genre .
- Aids the reader to explore the relationship between readers and characters.
- Constructs meaning, intention, and viewpoints.
Genre groups literary texts into styles, shared conventions, settings, and themes, which is important for language analysis. Genres include poetry, novels, plays, short fiction, blogs, films etc.
For example, George RR Martin's Game of Thrones (1996 - present) series is classified as f antasy . Fantasy novels are always set in a fictional universe but are inspired by real-world myth and folklore. These novels may use magic and mythical creatures, such as dragons, as part of their genre .
Tip: 'Urban fantasy' (set in cities and urban populaces), 'wuxia' (Chinese martial arts fiction with fantasy elements), and 'fables' (stories with non-human characters) are all subgenres of fantasy.
The audience is the anticipated, or target, readership. The author must consider how the text suits the intended audience. In literary works, characters can either stand-in for the audience or directly interact with them. For example:
- A chorus is a group of people who sing or comment on the dramatic actions or events in a play.
- Self-conscious narrators may address their audience directly.
- An 'audience surrogate' is a figure the audience can identify with because they ask questions the audience wants to be answered.
Foregrounding is a literary device which makes an image, symbol, or word a prominent or important feature in the text. It is an attention-seeking device that repeats content or breaks established patterns and calls the reader's attention to the author's language choices.
There are two foregrounding techniques to highlight at this stage:
- Parallelism is a technique that repeats content with unexpected regularity. The text is foregrounded by repeated patterns and figures of speech, such as alliteration , enjambment, and anaphora.
- Deviation happens when an author sets up and breaks deliberately established patterns of language and sound for effect. This is achieved through external or internal deviation.
Literariness explores the literary value of texts . Literary texts are considered to have aesthetic and moral value, akin to works of art. Such texts are written in such a way as to elevate them from other texts. They might win a literature prize like the 'Man Booker Prize', or feature in A-Level and University syllabuses.
It is worth making a distinction between Literature and literature (capital 'L' and lowercase 'l'). The literary text is the worthy, beautiful, or important text; the text which has something profound to say in the world of serious books. Literature (capital L) includes books in a canon, or collection, of important texts. Meanwhile, the term literature (lowercase 'l') covers all sorts of writing, from magazines to blogs, from genre fictions (mainstream or pulp literary works) to poems on Instagram, as well as dramas.
General ideas of literariness can be subjective. What you find meaningful or beautiful may differ from what another person finds meaningful or beautiful. However, literary theorist Roman Jakobson argues that works have a characteristic set of textual properties. Such properties include the use of certain poetic and literary devices, such as figures of speech.
Mode in the English language
Mode describes how an author communicates with their audience, and such is important for understanding language analysis. Mode is the medium of communication, the spoken or written way authors communicate ideas and themes. Mode is not the same as genre . Instead, mode is about the literary method, mood, or manner in which speech and narrative are used.
For example, authors of genre crime fiction may use a satiric or didactic mode of writing to interrogate how society glorifies violence, or purposely ignores crimes against certain races or genders. Other examples of modes include comic and pastoral.
A narrative is an account of actual or imagined events communicated directly to the reader. Narratives organize events, places, characters, and times into a coherent whole.
Narratives are used in fiction and non-fiction, in poetry and prose. Narratologists study the theory and practice of narratives.
- The types of narrators.
- The narrative structure, which includes the literary elements which provide narrative order, plot, and setting as it is presented to the reader.
- Narrative devices/techniques.
- The analysis of narrative discourse (which focuses on specific language choices and structure).
Poetic voice vs. grammatical voice
The poetic voice is the speaking voice or persona that a poet or author has adopted. This voice projects a sense of identity, as well as the values and beliefs connected to that voice. There are four aspects to the poetic voice :
- Grammar, including syntax.
- Literary devices.
- Subject matter.
The grammatical voice comprises active and passive sentences. It is the expression of the relationship between:
- The predicate, the part of a sentence which contains a verb and which states something about the subject, and;
- Nominal functions, the noun or object of the sentence.
Narrative perspective/point of view
Narrative perspective or point of view is the vantage point from which events of a story are filtered and then relayed to the audience . Narrative points of view are crucial for analysing language and texts because they tell the reader who is telling the story, and who sees the events .
Narrative points of view include first-person, second-person, third-person limited, and third-person omniscient.
The narrative point of view covers how the story is written and who is telling it . Narrative perspective encompasses the narrator 's voice, point of view, ideological worldview, and a focaliser (what the narrative and narrator are focused on).
To find out more about how the narrative point of view is analysed we must examine other factors that introduce bias, unreliability, or the limitations of a narrator and author's vantage point .
- A text can be analysed according to its spatio-temporal viewpoint . A spatio-temporal viewpoint adopted by the narrator involves literary devices such as time frames, deixis , and flashbacks or flashforwards.
- An ideological viewpoint is about the way a narrator sees the world or thinks about events (often in an extreme or polarizing way). Narrators and characters state their beliefs, values, and worldview in the narrative , which often establishes the work's themes, narrative points of view, and world-building.
- The narrator is the imagined 'voice' assumed to be telling the story. How much the narrator knows of a narrated event, or how much they decide to tell the audience about it, determines the kind of narrator they are. Examples include third-person limited, omniscient, unreliable, or subjective narrators.
Tip: Consider you can analyse a narrator 's language to impart what they see, what they are doing, and where they are in a given situation.
Literary positioning involves how an author establishes a relationship between themselves and the reader by declaring their stance on the subject matter . The strategies for positioning include analysing:
- Personal pronouns.
- Layout (which includes framing).
- Lexical choices, including tone and dialect .
- Synthetic personalization (the way texts communicate with us in a friendly and intimate manner despite the author having no personal relationship with the reader).
Literary Purpose explains why a text was written , which allows the reader to interpret the author's aims. Texts have multiple and overlapping purposes:
- To instruct (didacticism).
- To be a work of art ('art for art's sake', which falls under the literary analysis rather than literature).
- To entertain.
- To rewrite history or 'unfactual' accounts.
Literary representation explores the ways meaning is constructed by linguistic techniques and language analysis , which influence the reader's perception of the subject matter of the narrative . It is the relationship between the work and what it (or what the author wants it to) represent. Representation helps readers organise their understanding of the world the text depicts, and how this relates to the real world .
Do you think novels or other works of Literature can depict real-life accurately? Or should works remain forms of escapism?
Language analysis example
We have broken down the example below to show you how to perform language analysis in manageable chunks. Along with the flashcards and revision notes we have provided, you can add your own resources as you follow along with the next part.
Let's look at Virginia Woolf's The Waves (1931). We have three tasks: to work out the intentions, the tone, and the techniques used.
'Through the chink in the hedge,' said Susan. 'I saw her kiss him. I raised my head from my flower-pot and looked through a chink in the hedge. I saw her kiss him. I saw them, Jinny and Louis, kissing. Now I will wrap my agony inside my pocket-handkerchief. It shall be screwed tight into a ball. I will go to the beech wood alone, before lessons. I will not sit at the table, doing sums. I will not sit next Jinny and next Louis. I will take my anguish and lay it upon the roots under the beech trees.
We can extrapolate various aspects of the text based on the language analysed and what we already know about the novel.
The novel explores how Woolf's characters use language to express their identity and preoccupation with their bodies and feelings . From one extract, we can tell a lot about the character which Woolf has created and understand how a little analysis can influence the reader's perception of the whole text.
How often do you find yourself watching a film and wondering who the film is for, what genre it is, and what the message of the film is? Can you apply these kinds of language analysis tools to all media?
Language Analysis - Key takeaways
- Language Analysis explores how authors/writers convey meaning through specific language techniques, such as figures of speech, word choice, sentence structure, and registers or tone.
- Literary representation explores the meaning of texts based on the linguistic techniques chosen by the author while analysing the relationship between the fictional world and reality.
- Genre categorises literary works into recognizable styles, while mode involves the methods or manner in which language is used to communicate certain ideas and themes.
- The audience is the individual or group for whom the author writes their work of literature. Literariness explores how certain audiences can assign literary value to certain texts - whether they are 'Literature', or literature.
- The narrative is the account of actual or imagined events in which the narrator communicates information to the audience. This is dependent and influenced by the literary position, literary purpose , or the narrative point of view in the text.
- Poetic and grammatical voices assess the presentation of the author or narrator in a text, and whether these voices imply a narrative action or the narrator 's identity.
Frequently Asked Questions about Language Analysis
--> what is a language analysis.
Language analysis explores how authors/writers/speakers convey meaning through specific language techniques, such as figures of speech, word choice, sentence structure, and registers or tone.
--> How to do language analysis?
You use the levels of language to determine how words and phrases are used in everyday speech and literature. Then, the language varieties can determine the social and cultural contexts of language used in literature and communities.
--> How to analyse an image in language analysis?
To analyse an image, you should firstly identify the medium the image is in, e.g. is it in a book? A report? A film? You should then consider different aspects such as:
- Is there any written text on or around the image? If so, how does it relate to the image and what does it imply?
- The visual aspects - is the image a photo? A drawing? A sign? Take into account visual design such as colour, layout, size, etc.
Consider both the denotations (literal meaning) and the connotations (cultural/associated meaning) of the image.
--> How to write a conclusion for a language analysis?
To write a conclusion for a language analysis, you should do the following:
- Review the main point of your brief - why did you decide to do the analysis?
- Summarise the main points of your analysis - what were your findings?
- Offer a final, memorable thought - this could be a recommendation, improvement, or question.
--> How to write a language analysis introduction?
To write a language analysis introduction, you should include the following things:
- A catchy hook to draw the reader in.
- Background information for context.
- Introduction of brief and purpose of analysis - why are you doing the analysis and what do you hope to get out of it?
Final Language Analysis Quiz
Language analysis quiz - teste dein wissen.
What are the four main families of genre?
Comedy, romance, tragedy, satire.
Why are genres used?
To help readers’ expectations of a text, and to help authors write within (or out) of genre conventions.
What do genres do?
Genres organise information to help the reader and critics make sense of what they are about to read.
How do you analyse genres?
Genres can be analysed by the language, tone, setting, plot, and themes used.
What is the aim of genre analysis?
Genre analysis examines the style of writing to understand the writer’s intentions, target audience, theme, and reader expectations.
How do different genres form?
Genres form over time and according to what literary conventions are deemed popular by society.
Name five types of genre.
Historical fiction, romance, crime, mystery, bildungsroman, horror, science fiction, fantasy.
How many genres are there in English Literature?
There are numerous genres. However, the main four are romance, satire, comedy, and tragedy.
True or false - genre criteria is assessed only by how language is used.
Genre criteria is assessed by their overall look and imagery, how language is used, the literary techniques used, and the overall purpose of the work.
Which of the following does not apply to a crime genre?
The plot centres on a major or minor historical event.
True or false?
Aristotle posited that genres should be a fixed classification system.
Which of the following applies to a historical fiction genre?
Exploration of a type of crime, and/or focus on victims and their suffering.
A genre is the same as a theme.
What does a genre not do?
Group only novels.
Which of these is an example of a sub genre of short fiction?
What is the definition of literariness?
Literariness is a formal style of writing used to differentiate between texts.
When was literariness created?
Who coined the term literariness?
What is the aim of literariness?
It aims to differentiate between literary and non-literary texts. By doing so, it aims to find a way to quantify literature.
Who is not a literary critic of literariness?
Measuring a text by literariness is a common practice.
Who wrote about the three components of literariness?
Literary critic David Miall wrote about the components of literariness. He said that any piece of work that was literary would possess three key components. These were a distinct style, defamiliarisation, and new experience.
How many components are there?
What are the three components of literariness?
These three components are, the presence of a distinctive writing style (almost unique to literature), defamiliarisation, and the reader engaging in a feeling in a new or unfamiliar way.
How does the first component create literariness?
The first component (the presence of a distinctive style) is able to create literariness as it involves using literary terms as a way to create defamiliarisation in the text.
What does the literary term mean?
A literary term is a term given to the different techniques that a writer can use within a text. These can include figurative language or sound and rhythm.
Literary terms are the same as literary devices.
Is a metaphor a literary term?
Yes! A metaphor is a literary term because it is a technique that can be used to cause an effect in a text. It is a type of figurative language and can help create defamiliarisation.
What is defamiliarisation?
This is a concept where a writer will take a familiar concept, and write about it in a way that is unfamiliar to the reader.
How can defamiliarisation be used to create literariness?
It can be used in order to achieve the third component (where the reader experiences something in a new or unfamiliar way). It makes the reader experience a concept, object or idea in a new way, and sot the third component is achieved.
Can defamiliarisation be created without a distinct style?
No! The first component is necessary in order to create defamiliarisation in a text.
What is the third component of literariness?
The third component of literariness is that the reader will experience a feeling in a new way. This will be achieved due to the previous two components.
How does the third component determine literariness?
This determines literariness because as outlined by Miall, this is an experience that is almost solely unique to literature.
What is literary theory?
Literary theory is the term used to describe the academic thoughts behind how literature is created.
Literariness is a type of literary theory.
What is foregrounding?
To foreground is to make an image, symbol, or language a prominent or important feature as a contrast to the background.
What is Deviation?
Deviation is an unexpected irregularity.
What is Parallelism?
Parallelism repeats content with unexpected regularity.
What are the two techniques of foregrounding?
Deviation and Parallelism.
What are the three levels of stylistic effect in foregrounding?
Grammatical level, phonetic level, semantic level.
Why do authors use foregrounding?
To draw the reader's attention to a particular word or figure in the text by using estrangement and defamiliarization.
What are the types of deviation?
Grammatical, lexical, semantic, phonological, textual, graphological, dialectal, as well as register and historical period.
What is External Deviation?
External deviation is when the author breaks from normal conventions of language use.
What is Internal Deviation?
Internal Deviation is when the author or poet breaks from a pattern they have previously set up in their work.
What is the difference between Parallelism and Repetition?
Parallelism repeats content with slight modifications or grammatical changes. Repetition is the reuse of words, phrases, or themes.
What is the synonym of 'foreground'?
The synonyms for foreground are center, focal point, and focus.
Is Foregrounding used mainly in Art or Literature?
Which of the following is not a type of deviation?
Which of the following is a technique of foregrounding?
- Single Paragraph Essay
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2018, Meditations on the Life of Christ: The Short Italian Text. [edited by] Sarah McNamer; linguistic analysis by Pär Larson. University of Notre Dame (Indiana 46556): The Notre Dame Press.
Il frammento del Bovo d’Antona conservato a Udine, Archivio Capitolare, Fondo Nuovi manoscritti 736.28 rappresenta un tassello della ricca tradizione europea di questa nota vicenda epica. I versi del frammento sono inoltre interessanti da un punto di vista linguistico e, soprattutto, lessicale, perché attestano numerosi lemmi e forme che non compaiono altrove. Il contributo offre al lettore uno studio linguistico del testo e rivede criticamente l’edizione che ne diede Pio Rajna nel 1887. The fragment of the Bovo d’Antona stored at Udine, Archivio Capitolare, Fondo Nuovi manoscritti represents a piece of the rich European tradition of this famous epic story. The verses of the fragment are also interesting from a linguistic point of view and, above all, lexical, because they attest many words and forms that do not appear elsewhere. The contribution gives the reader a linguistic study of the text and critically revises the edition that gave Pio Rajna in 1887. KEYWORDS Lingua e letteratura francese medievale – Lingua e letteratura franco-italiana – Code-mixing – Bovo d’Antona Medieval French Language and Literature – Medieval Franco-Italian Language and Literature – Code-mixing – Bevis of Hampton
Bollettino del Centro di studi filologici e linguistici siciliani
The manuscript Venice, Biblioteca Nazionale Marciana, It. III, 27 (= 5008) is an important and scarcely known monument of late Medieval scientific culture in Sicily, especially in regard to disciplines like veterinary medicine and astrology. The paper focuses on an astrological text in Old Sicilian transmitted by the unique Venetian manuscript. The first critical edition of the astrological text is provided, along with a linguistic analysis and a glossary. A philological survey leads to new acquisitions about the history of the manuscript.
Asian Trading Corporation, Bangalore
Abstract The Portuguese Jesuit named Father Gaspar de Aguilar was born in 1588 in Castelo Rodrigo (Portugal) and joined the Company of Jesus in 1610. He professed four vows and studied Philosophy, Theology and Grammar. After having served the Company of Jesus by working in the Goa Mission and at the Residency of Cardiva in the Jaffnapatam Kingdom, he was dismissed from the Company of Jesus. As far as it is known, his moral behavior which was unacceptable for the Company of Jesus. Even though it seems that his behavior was not in line with a religious profile, there is no doubt about his extremely pertinent observations concerning the Tamil language. In fact, his contribution to the study and spread of Tamil with its grammar was considerable. He was a very well-read man and his Grammar book was the most exhaustive and useful source for teaching the Tamil language. The Arte itself was constantly used as a reference by other missionaries. The aim of the present article is to reconstruct the life of Father Aguilar and to present his work which has never been analysed before. I will discuss the linguistic and cultural features of Aguilar’s grammar in order to show how he was able to catch many peculiarities of the Tamil language, although these differ greatly both from his mother tongue and from Latin. Furthermore, I will discuss translations of some prayers, as well the Manual for Confession in Tamil contained at the end of the Grammar book together with some other texts such as the description of Tamil sounds and its letters. The linguistic considerations will be made taking into due consideration the historical setting and the socio-cultural context Father Aguilar experienced.
Transactions of the Philological Society 114 (1): 1-24, 2016
The two deictic motion verbs ‘go’ and ‘come’ serve as passive auxiliaries in a handful of languages, in combination with non-finite participial forms of the main verb. Some passive constructions involving deictic motion verbs as auxiliaries are infused with special aspectual or modal meanings, even in the absence of overt aspectual or modal operators. The aim of this paper is to provide an in-depth account of the emergence of the Italian passive with andare (‘go’) + past participle, and to explore the possible crosslinguistic implications of the proposed analysis, with a view to identifying the regularities in the diachronic processes leading to the emergence of passive constructions with deictic motion verbs as auxiliaries. On the basis of a large historical corpus of Italian, we will show that the Italian motion verbs andare ‘go’ and venire ‘come’ develop into passive auxiliaries passing through a stage in which they are used as semi-copulas (with aspectual or modal values), and that this diachronic pathway appears to be valid for other languages in which such a construction type is attested.
«Diverse voci fanno dolci note». L'Opera del Vocabolario Italiano per Pietro G. Beltrami, a cura di Pär Larson, Paolo Squillacioti e Giulio Vaccaro, Alessandria, Edizioni dell'Orso, 2013,, pp. 129-136.
The new critical edition of Piero's treatise (vernacular version) is the starting point for a linguistic analysis of the Prospective pingendi autograph. The exam of phonetical and morphological features focuses on the vernacular characters of Borgo San Sepolcro; the most relevant syntactic structures are described. As for the lexicon, some technical words in the field of geometry, architecture and painting are presented giving an essay of the glossary of the edition.
Transactions of the Philological Society 114,1, 2016, 1-24
Anna G I A C A L O N E RAMAT
Formal and Semantic Constraints in …
Lorenzo Tomasin , Luca D'Onghia
Sergey Loesov , Moscow Circle for Aramaic Studies
Christian Y Dupont
Przemysław Dębowiak , Ewa Stala
Journal of Language Contact
Per un glossario del veneziano giustinianeo: parole lessicali di particolare interesse nelle canzonette di Leonardo Giustinian.
Begoña Crespo , Isabel Moskowich
Antonelli, Roberto / Glessgen, Martin / Videsott, Paul (Hrsg.), Atti del XXVIII Congresso internazionale di linguistica e filologia romanza (Roma, 18-23 luglio 2016), Strasbourg, ELiPhi
«Studi di Grammatica Italiana»
«Diverse voci fanno dolci note». L’Opera del Vocabolario Italiano per Pietro G. Beltrami, a cura di Pär Larson, Paolo Squillacioti e Giulio Vaccaro, Alessandria, Edizioni dell’Orso
Michiel de Vaan
A Sketch of the Earliest Mongolic Language: the Brāhmī Bugut and Khüis Tolgoi Inscriptions
Sandro Bertelli , Davide D C Cappi
«Diverse voci fanno dolci note». L'Opera del Vocabolario Italiano per Pietro G. Beltrami
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The Oxford Handbook of Linguistic Analysis
Bernd Heine is Emeritus Professor at the Institut für Afrikanistik, University of Cologne. He has held visiting professorships in Europe, Eastern Asia (Japan, Korea, China), Australia, Africa (Kenya, South Africa), North America (University of New Mexico, Dartmouth College), and South America (Brazil). His 33 books include Possesson: Cognitive Sources, Forces, and Grammaticalization (CUP, 1997); Auxiliaries: Cognitive Forces and Grammaticalization (OUP, 1993); Cognitive Foundations of Grammar (OUP, 1997) (with Tania Kuteva); World Lexicon of Grammaticalization (CUP, 2002); Language Contact and Grammatical Change (CUP, 2005); The Changing Languages of Europe (OUP, 2006), and The Evolution of Grammar (OUP, 2007); and with Heiko Narrog as co-editor, The Oxford Handbook of Linguistic Analysis (OUP, 2011), and The Oxford Handbook of Grammaticalization (OUP, 2012).
Heiko Narrog is professor at Tohoku University, Japan. He received a PhD in Japanese studies from the Ruhr University Bochum in 1997, and a PhD in language studies from Tokyo University in 2002. His publications include Modality in Japanese and the Layered Structure of Clause (Benjamins, 2009), Modality, Subjectivity, and Semantic Change: A Cross-Linguistic Perspective (OUP, 2012), The Oxford Handbook of Linguistic Analysis (OUP, 2010), and The Oxford Handbook of Grammaticalization (OUP, 2011), both co-edited with Bernd Heine.
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This handbook compares the main analytic frameworks and methods of contemporary linguistics It offers an overview of linguistic theory, revealing the common concerns of competing approaches. By showing their current and potential applications, the book provides the means by which linguists and others can judge what are the most useful models for the task in hand. Scholars from all over the world explain the rationale and aims of over thirty explanatory approaches to the description, analysis, and understanding of language. Each chapter considers the main goals of the model; the relation it proposes between lexicon, syntax, semantics, pragmatics, and phonology; the way it defines the interaction between cognition and grammar; what it counts as evidence; and how it explains linguistic change and structure.
- Copyright Page
- List of Abbreviations
- About the Authors
T. Givón is Distinguished Professor of Linguistics and Cognitive Science at the University of Oregon. He acquired his MA and PhD from UCLA, where he was also professor for some years. He has worked extensively with the South Ute Indian Tribe, Colorado, as
Guglielmo Cinque is Professor of Linguistics at the University of Venice, co-editor of The Oxford Handbook of Comparative Syntax (Oxford University Press, 2005) (with Richard Kayne), and author of various volumes on syntax, including Adverbs and Functional Heads (Oxford University Press, 1999) and Restructuring and Functional Heads (Oxford University Press, 2006). With Luigi Rizzi he has promoted the subseries of volumes on The Cartography of Syntactic Structures of the Oxford Studies in Comparative Syntax series edited by R. Kayne.
Luigi Rizzi is Professor of Linguistics at the University of Siena in Italy. He has been on the faculty of several universities in Europe and the US, including MIT, the University of Geneva, the Ecole Normale Supérieure (Paris). His research focuses on syntactic theory and comparative syntax, with special reference to the theory of locality, the study of variation through parametric models, the cartography of syntactic structures, and the acquisition of syntax.
Glyn Morrill has held research positions at the Centre for Cognitive Science, University of Edinburgh, Netherlands Organization for Scientific Research (NWO) Universiteit Utrecht and Centrum voor Wiskunde en Informatica (CWI) Amsterdam, and Departament de Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya. Since 1993 he has been a lecturer in Computer Science at this latter. In 1995, he co-founded with Dick Oehrle the annual Formal Grammar conference. He researches on logic in grammar and processing, focusing on type logical categorial grammar. He is author of Type Logical Grammar: Categorial Logic of Signs (Kluwer, 1994) and Ldgica de primer ordre (Edicions Universitat Politecnica de Catalunya, 2001).
Ronald W. Langacker is Professor Emeritus and Research Professor at the University of California, San Diego. Early in his career, major areas of research included generative syntax and the comparative‐historical grammar of the Uto‐Aztecan family of Native American languages. Over the last three decades, his main concern has been to develop and progressively articulate the theory of Cognitive Grammar, a radical alternative to generative theory. He has published numerous books and articles dealing with a broad array of issues in cognitive linguistics.
Jerome A. Feldman is a Professor of Computer Science and Cognitive Science at the University of California and a research scientist at the International Computer Science Institute in Berkeley. He received the Ph.D. from Carnegie-Mellon in 1964 and previously taught at Stanford and Rochester.
Laura A. Michaelis is an Associate Professor of Linguistics and a faculty fellow in the Institute of Cognitive Science at the University of Colorado at Boulder. She is the author of Aspectual Grammar and Past-Time Reference (1998) and Beyond Alternations: A Constructional Model of the German Applicative Pattern (2001) (with Josef Ruppenhofer). She is the co-editor, with Elaine Francis, of Mismatch: Form-Function Incongruity and the Architecture of Grammar (2003). She is currently collaborating on a Construction Grammar monograph with Charles Fillmore, Paul Kay, and Ivan Sag. Her work has appeared in the journals Language, Journal of Semantics, Journal of Pragmatics, Cognitive Linguistics, Journal of Linguistics, Linguistics and Philosophy , and Studies in Language .
Douglas Biber is Regents' Professor of English (Applied Linguistics) at Northern Arizona University. His research efforts have focused on corpus linguistics, English grammar, and register variation (in English and cross-linguistic; synchronic and diachronic). His publications include books on register variation and corpus linguistics published by Cambridge University Press (1988, 1995, 1998, to appear), the co-authored Longman Grammar of Spoken and Written English (1999), and more recent studies of language use in university settings and discourse structure investigated from a corpus perspective (both published by Benjamins: 2006 and 2007).
Kasia M. Jaszczolt is Reader in Linguistics and Philosophy of Language at the University of Cambridge and Fellow of Newnham College, Cambridge. She obtained her D.Phil, from the University of Oxford (1992) for a thesis on the semantics of propositional attitude reports. She has published widely on the topics of semantic ambiguity and underdetermination, definite descriptions, belief reports, and the semantics of time, principally developing and applying the theory of Default Semantics to various types of constructions. Her books include Default Semantics (Oxford University Press, 2005), Semantics and Pragmatics: Meaning in Language and Discourse (Longman, 2002), Discourse, Beliefs and Intentions (Elsevier Science, 1999) and Representing Time: An Essay on Temporality as Modality (forthcoming from Oxford University Press in 2008). She is also member of various editorial boards including Journal of Pragmatics and Studies of Pragmatics , a committee member of the Linguistics Association of Great Britain, and in from 1996 to 2008 was managing editor of a book series Current Research in the Semantics/Pragmatics Interface (CRiSPI) (Elsevier Science).
Vilmos Ágel is Chair of German Synchronic Linguistics at Kassel University. He received his doctorate (1988) and professorial degree (1997) from the ELTE Budapest. The bursaries he received include the following: 1987–8, from the German Academic Exchange Service, 1991–3 and 1998, Alexander von Humboldt-Stiftung, and 2000–4, Szécheny research bursary for professors. In 2003, he won the Friedrich Wilhelm Bessel research prize of the Alexander von Humboldt-Stiftung. Since 2004 he has been co-editor of the Zeitschrifl für Germanistische Linguistik . His main research interests are valency theory, dependency grammar, the link between contemporary grammar and the history of language, the grammar of New High German (1650–2000), and the relationship between orality/literacy and grammatical structure.
Klaus Fischer started his academic career in Britain as DAAD-Lektor (Deutscher Akademischer Austauschdienst) at the University of Wales, Lampeter (1985–88), after having studied German and Philosophy in Munich and Bonn. He has worked at London Metropolitan University or one of its predecessor institutions (City of London Polytechnic, London Guildhall University) since 1989, first as Lecturer in German, heading the German section since 1999, and from 2002 as Reader in German. In 1995, he was awarded a Ph.D. at the University of Wales. His main research interests are the foundation and application of valency theory, the comparison of English and German verb complementation, and more generally the typology of English and German.
William O’Grady is professor of linguistics at the University of Hawai‘i at Mānoa. Drawing on his expertise in first- and second-language acquisition, he has written several articles on the conditions that must be met if endangered languages are to be learned and maintained. He is currently working on Jejueo, the critically endangered language of Korea’s Jeju Island. He and two co-authors have recently published the first of a four-volume series of textbooks to support teaching of the language in high schools and colleges. A reference grammar of the language, to be published by the University of Hawai‘i Press, is forthcoming.
Mark C. Baker is Distinguished Professor of Linguistics and Cognitive Science at Rutgers University. He received his PhD in linguistics in 1985 from MIT, and previously taught at McGill University. He specializes in the syntax and morphology of less-studied languages, seeking to bring together generative-style theories and data from fieldwork and typological comparison. He has written five research monographs, including Case: Its Principles and Its Parameters (2015).
Charles J. Fillmore is Emeritus Professor at the University of California at Berkeley. His early work included contributions to generative grammar (cyclic rule application), the grammar and semantics of English verbs, case grammar, deixis, frame semantics, and construction grammar. After retirement he has been associated with FrameNet, a computational lexicography project at the International Computer Science Institute, supported mainly by the US National Science Foundation. He served as President of the Linguistic Society of America in 1991.
Collin Baker received a Ph.D. in Linguistics from University of California at Berkeley in 1999, and since 2000 has been manager of the FrameNet Project at the International Computer Science Institute. Recent publications include The Structure of the FrameNet Database (2003) (with Charles Fillmore and Beau Cronin) and FrameNet and Representing the Link between Semantic and Syntactic Relations (2004) (with Fillmore and Josef Ruppenhofer), along with a number of conference papers and tutorials at Language Resources and Evaluation Conference (LREC), Association for Computational Linguistics (ACL), and Linguistic Society of America (LSA). His current research focuses on efficiently extending the FrameNet lexicon and on annotating large corpora with semantic frames.
Martin Haspelmath is a senior staff member at the Max-Planck-Institut für evolutionäre Anthropologie in Leipzig. He received degrees at the Universität zu Köln, University at Buffalo, and the Freie Universität Berlin. He taught at the Freie Universitat (FU) Berlin, the Universitat Bamberg, the Università di Pavia, the Universität Leipzig, and at summer schools in Albuquerque, Mainz, Düsseldorf, Cagliari, Berkeley, and at MIT. His research interests are primarily in the area of broadly comparative and diachronic morphosyntax ( Indefinite Pronouns , 1997; From Space to Time , 1997; Understanding Morphology , 2002). He is one of the editors of Oxford University Press's World Atlas of Language Structures (2005).
Kees Hengeveld has been Professor of Theoretical Linguistics at the University of Amsterdam since 1996. Before that, he taught Spanish linguistics at that same university. His research focuses on Functional Discourse Grammar and linguistic typology, and often on the combination of the two. With J. Lachlan Mackenzie he published Functional Discourse Grammar (Oxford University Press, 2008). Before that, he edited Simon C. Dik's posthumous two-volume The Theory of Functional Grammar (Mouton de Gruyter, 1997) and published Non‐Verbal Predication: Theory, Typology, Diachrony (Mouton de Gruyter, 1992), as well as numerous articles and edited volumes.
J. Lachlan Mackenzie is Honorary Professor of Functional Linguistics at the Free University of Amsterdam, the Netherlands, and works at Instituto de Linguística Teórica e Computacional (Lisbon, Portugal) as a Consultant in Languages and Linguistics. His professional interests are mainly in the analysis of Western European languages from the perspective of Functional Discourse Grammar (FDG). Among recent books co-edited in this area are A New Architecture for Functional Grammar (Mouton de Gruyter, 2004), Crucial Readings in Functional Grammar (Mouton de Gruyter, 2005), and Studies in Functional Discourse Grammar (Lang, 2005). He is co-author, with Kees Hengeveld, of Functional Discourse Grammar (Oxford University Press, 2008).
Ash Asudeh is a Professor in the Department of Linguistics and the Director of the Center for Language Sciences at the University of Rochester. He has held positions at Carleton University, in the Institute of Cognitive Science, and at Oxford University, where he was Professor of Semantics in the Faculty of Linguistics, Philology, and Phonetics and a Senior Research Fellow at Jesus College. His research interests include syntax, semantics, pragmatics, language and logic, and cognitive science. He has published extensively on the syntax–semantics interface, particularly in the frameworks of Lexical Functional Grammar and Glue Semantics.
Ida Toivonen teaches linguistics and cognitive science at Carleton University in Ottawa, Canada. She received her Ph.D. from Stanford University in 2001. Her primary area of research is syntax, but she also works on phonetics, morphosyntax, lexical semantics, and language description. She is particularly interested in Swedish and Inari Saami.
Cliff Goddard's research interests lie at the intersection of language, meaning and culture. He is one of the leading proponents of the NSM (Natural Semantic Metalanguage) approach to linguistic description and a close collaborator with the originator of the approach, Anna Wierzbicka. He has published extensively on topics in semantic theory, cross-linguistic semantics, cross-cultural pragmatics, and on language description, especially in relation to English, Malay, and Yankunytjatjara (Central Australia). Recently he edited the collective volumes Ethnopragmatics: Understanding Discourse in Cultural Context (Mouton de Gruyter, 2006) and Cross-Linguistic Semantics (Benjamins, 2008). With Anna Wierzbicka, he is co-editor of the two-volume collection Meaning and Universal Grammar—Theory and Empirical Findings (Benjamins, 2002). Goddard has published two textbooks: Semantic Analysis (OUP, 1998) and The Languages of East and Southeast Asia (OUP, 2005). He is a full Professor of Linguistics at the University of New England, Australia, and a Fellow of the Australian Academy of Humanities.
Cedric Boeckx is Research Professor at the ICREA (Institució Catalana de Recerca i Estudis Avançats) and a member of the CLT (Centre de Lingüística Teòrica) at the Universitat Autònoma de Barcelona. He received his Ph.D. in linguistics in 2001 from the University of Connecticut, Storrs. He has held visiting positions at the Universities of Illinois and Maryland, and was a fellow of Netherlands Organization for Scientific Research (NWO) at Leiden University. His research interests are in theoretical syntax, comparative grammar, and architectural questions of language, including its origins and its development in children and its neurobiological basis. He is the author of, among others, Islands and Chains (Benjamins 2003), Linguistic Minimalism (Oxford University Press, 2006), Understanding Minimalist Syntax (Blackwell, 2008), and Bare Syntax (Oxford University Press, 2008). He has published numerous articles in journals such as Linguistic Inquiry and Natural Language and Linguistic Theory .
Geert Booij (1947) received an M.A. degree (cum laude) in Dutch linguistics, with minors in general linguistics and philosophy from the University of Groningen in 1971. From 1971 until 1981 he was an assistant/associate professor in the Department of Dutch of the University of Amsterdam, where he obtained his Ph.D. degree in 1977 with the dissertation Dutch Morphology. A Study of Word Formation in Generative Grammar (Foris Publications, Dordrecht). He was a professor of general linguistics at the Vrije Universiteit Amsterdam (1981-2005), and at Leiden University (2005-2012). He is now an emeritus professor. He is the founder and editor of the book series Yearbook of Morphology and its successor, the journal Morphology , author of The Phonology of Dutch (1995), The Morphology of Dutch (2002), Construction Morphology (2010), and of The Grammar of Words (2005, 2012), all published by Oxford University Press, and of linguistic articles in a wide range of linguistic journals, mainly on phonology and morphology.
Maria Gouskova is an Assistant Professor in the Department of Linguistics at New York University. She works in phonology and its interfaces with phonetics and morphology in the framework of Optimality Theory. She is interested in the relation of phonological constraints to each other and to linguistic primitives. She has published in the journals Linguistic Inquiry and Phonology on a variety of topics in phonological theory ranging from the role of sonority in syllable structure to templates in reduplication.
Henriëtte de Swart is Professor of French Linguistics and Semantics at Utrecht University (the Netherlands). She obtained her Ph.D. from the University of Groningen with a thesis entitled Adverbs of quantification: A generalized quantifier approach (1991). She works on topics in tense and aspect, negation, and indefinites. Her publications on tense and aspect include Meaning and use of not … until (Journal of Semantics, 1996), Aspect shift and coercion (NLLT, 1998), Aspectual implication of plural indefinites (2006), A cross-linguistic discourse analysis of the perfect (Journal of Pragmatics, 2007). She also wrote An introduction to natural language semantics (CSLI, 1998).
Joost Zwarts teaches at the Department of Linguistics at Utrecht University. He previously worked as a researcher in the PIONIER project ‘Case Cross-linguistically’ at Radboud University Nijmegen. His main interests are in (formal and lexical) semantics and syntax, especially in the behaviour of prepositions and articles. He has done fieldwork in Kenya and published The Phonology of Endo (Lincom, 2004).
Ray Jackendoff is Seth Merrin Professor Emeritus of Philosophy and former Co-director of the Center for Cognitive Studies at Tufts University, and Research Affiliate in the Department of Brain and Cognitive Sciences at MIT. He has written extensively on syntax, semantics, morphology, music cognition, social cognition, consciousness, and the architecture of the language faculty and its place in the mind. He is a recipient of the Jean Nicod Prize in Cognitive Philosophy and of the Rumelhart Prize in Theoretical Foundations of Human Cognition, and he has served as President of both the Linguistic Society of America and the Society for Philosophy and Psychology.
Yan Huang is Professor of Linguistics at the University of Auckland. He has previously taught linguistics at the University of Cambridge, University of Oxford, and University of Reading, where he was Professor of Theoretical Linguistics. His main research interests are in pragmatics, semantics and syntax, especially the pragmatics–semantics interface and the pragmatics–syntax interface. His published work includes The Syntax and Pragmatics of Anaphora (Cambridge University Press, 1994, re-issued 2007), Anaphora: A Cross-Linguistic Study (Oxford University Press, 2000), and Pragmatics (Oxford University Press, 2007). He has also published a number of articles and reviews in leading international journals of linguistics.
Rens Bod obtained his Ph.D. in Computational linguistics at the University of Amsterdam. He currently holds a chair in Artificial Intelligence and is affiliated with the University of St Andrews and at the University of Amsterdam. His main interests are in computational models of language acquisition and statistical natural language processing, but he has also worked in computational musicology, reasoning, and in the history of science and humanities. Rens published over 90 scholarly articles and is the author of Beyond Grammar: An Experience-Based Theory of Language (Stanford University, 1998). He also co-edited a number of handbooks, including Probabilistic Linguistics (MIT Press, 2003) and Data-Oriented Parsing (CSLI Publications/Chicago, 2003).
Eric Pederson (PhD 1991) is associate professor of Linguistics at the University of Oregon. The overarching theme of his research is the relationship between language and conceptual processes. He was a student at the University of California, Berkeley, working within Cognitive Linguistics with George Lakoff, Dan Slobin, Eve Sweetser, and Leonard Talmy since 1980. He joined the Max Planck Institute for Psycholinguistics in 1991 until 1997, where he began working on issues more specific to linguistic relativity. Relevant publications include “Geographic and Manipulable Space in Two Tamil Linguistic Systems” (1993); “Language as Context, Language as Means: Spatial Cognition and Habitual Language use” (1995); “Semantic Typology and Spatial Conceptualization” (with Eve Danziger, Stephen Levinson, Sotaro Kita, Gunter Senft, and David Wilkins, 1998); “Through the Looking Glass: Literacy, Writing Systems and Mirror Image Discrimination” (with Eve Danziger, 1998); and “Mirror-Image Discrimination among Nonliterate, Monoliterate, and Biliterate Tamil Speakers” (2003). In addition to linguistic relativity, his general interests include semantic typology, field/descriptive linguistics (South India), and the representation of events. Eric Pederson can be reached at [email protected].
Francisco Yus teaches pragmatics at the University of Alicante, Spain. He has a Ph.D. in linguistics and has specialised in the application of pragmatics (especially relevance theory) to media discourses and conversational issues. He has applied pragmatics to alternative comics ( Conversational Co-operation in Alternative Comics , 1995; El discurso femenino en el cómic alternativo inglés , 1998), proposed a verbal-visual model of communication in media discourses ( La interpretación y la imagen de masas , 1997), and developed a pragmatic approach to Internet-mediated communication ( Ciberpragmática , 2001). Latest research has to do with the application of relevance theory to misunderstandings and irony in conversation, as well as to the production and interpretation of humor.
Robert D. Van Valin, Jr. received his Ph.D. in linguistics at the University of California, Berkeley. His research is focused on theoretical linguistics, especially syntactic theory and theories of the acquisition of syntax and the role of syntactic theory in models of sentence processing. He is the co-author of Functional Syntax and Universal Grammar (Cambridge University Press, 1984), the editor of Advances in Role and Reference Grammar (Benjamins, 1993), the co-author of Syntax: Structure, Meaning and Function (Cambridge University Press, 1997), and the author of An Introduction to Syntax (Cambridge University Press, 2001). His most recent book is Exploring the Syntax-Semantics Interface (Cambridge University Press, 2005). He is the general editor of the Oxford Surveys in Syntax and Morphology series (Oxford University Press).
Sherman Wilcox (PhD 1988) is Professor of Linguistics at the University of New Mexico. His main research interests are the theoretical and applied studies of signed languages. His theoretical work focuses on iconicity, gesture, and typological studies of signed languages. ↵He is widely recognized as an advocate for academic acceptance of American Sign Language in universities in the United States. He also has taught signed language interpreting for many years and most recently has begun to demonstrate the application of Cognitive Linguistics to interpreting theory. He is author of several books and articles, including The Phonetics of Fingerspelling (1992); Gesture and the Nature of Language (with David F. Armstrong and William C. Stokoe, 1994); Learning to See: Teaching American Sign Language as a Second Language (with Phyllis Perrin Wilcox, 1997); and several edited collections.
Phyllis Perrin Wilcox is Professor in the Department of Linguistics at the University of New Mexico. She has presented on metaphor and metonymy in signed languages at national and international conferences. Dr. Wilcox was instrumental in establishing the baccalaureate degree in Signed Language Interpreting at UNM and coordinated the program for over fifteen years. She has served as chair of the Registry of Interpreters for the Deaf's National Review Board and now serves on the New Mexico Interpreting Licensure Board. Dr. Wilcox is the author of Metaphor in American Sign Language (Gallaudet University Press, 2000) and numerous articles on metaphorical cognition.
Peter W. Culicover is Distinguished University Professor at the Ohio State University. He was awarded the Humboldt Research Award in 2006. His primary research has been in syntactic theory. He has been concerned with exploring the cognitive and computational factors that underlie the foundations of syntactic theory. Most recently he has been pursuing an evolutionary account of the origin of grammars from a constructional perspective.
Alice Caffarel is Senior Lecturer in the School of Languages and Cultures at the University of Sydney, where she teaches French, French linguistics and stylistics. She is the author of a Systemic Functional Grammar of French and the co-editor of a volume on language typology from a systemic functional perspective.
Joan L. Bybee (Ph.D. linguistics, University of California at Los Angeles, 1973) was on the faculty at the State University of New York at Buffalo from 1973 until 1989 and is now Distinguished Professor Emerita of the Department of Linguistics at the University of New Mexico. Bybee's research interests include theoretical issues in phonology and morphology, language universals and linguistic change. Her books include Morphology (1985), The Evolution of Grammar (1994) (with Revere Perkins and William Pagliuca), Phonology and Language Use (2001) and Frequency of Use and the Organization of Language (2006). In 2004 she served as the President of the Linguistic Society of America.
Clay Beckner is a Ph.D. candidate in Linguistics at the University of New Mexico. In his research, he studies usage-based language change with a variety of methodologies, including corpus-based statistical methods, psycholinguistics, and computational modeling. He is working on a dissertation that addresses the formation of multi-word units in language, incorporating experimental data and exemplar models of usage and change.
Richard Hudson (PhD 1961) is emeritus professor of linguistics at University College London. His main research interests involve the overlapping fields of lexical semantics, syntax, morphology, speech processing, and sociolinguistics. His publications include the textbook Sociolinguistics (1981, 1996) and the following monographs: English Complex Sentences: An Introduction to Systemic Grammar (1971); Arguments for a Non-transformational Grammar (1976); Word Grammar (1984); and English Word Grammar (1990). He also has a strong interest in applying linguistics in education. He was elected a Fellow of the British Academy in 1993. His involvement with Cognitive Linguistics dates from the 1970s, when he first heard about prototypes in a lecture by George Lakoff at a time when he was also learning about knowledge representation in Artificial Intelligence and was developing a rather cognitive view of sociolinguistics; since then, his research and ideas have converged increasingly on those of the leading cognitive linguists, and they now fit comfortably in this tradition. He has been a consulting editor of the journal Cognitive Linguistics since its foundation.
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- How to write a literary analysis essay | A step-by-step guide
How to Write a Literary Analysis Essay | A Step-by-Step Guide
Published on January 30, 2020 by Jack Caulfield . Revised on September 2, 2022.
Literary analysis means closely studying a text, interpreting its meanings, and exploring why the author made certain choices. It can be applied to novels, short stories, plays, poems, or any other form of literary writing.
A literary analysis essay is not a rhetorical analysis , nor is it just a summary of the plot or a book review. Instead, it is a type of argumentative essay where you need to analyze elements such as the language, perspective, and structure of the text, and explain how the author uses literary devices to create effects and convey ideas.
Before beginning a literary analysis essay, it’s essential to carefully read the text and c ome up with a thesis statement to keep your essay focused. As you write, follow the standard structure of an academic essay :
- An introduction that tells the reader what your essay will focus on.
- A main body, divided into paragraphs , that builds an argument using evidence from the text.
- A conclusion that clearly states the main point that you have shown with your analysis.
Table of contents
Step 1: reading the text and identifying literary devices, step 2: coming up with a thesis, step 3: writing a title and introduction, step 4: writing the body of the essay, step 5: writing a conclusion.
The first step is to carefully read the text(s) and take initial notes. As you read, pay attention to the things that are most intriguing, surprising, or even confusing in the writing—these are things you can dig into in your analysis.
Your goal in literary analysis is not simply to explain the events described in the text, but to analyze the writing itself and discuss how the text works on a deeper level. Primarily, you’re looking out for literary devices —textual elements that writers use to convey meaning and create effects. If you’re comparing and contrasting multiple texts, you can also look for connections between different texts.
To get started with your analysis, there are several key areas that you can focus on. As you analyze each aspect of the text, try to think about how they all relate to each other. You can use highlights or notes to keep track of important passages and quotes.
Consider what style of language the author uses. Are the sentences short and simple or more complex and poetic?
What word choices stand out as interesting or unusual? Are words used figuratively to mean something other than their literal definition? Figurative language includes things like metaphor (e.g. “her eyes were oceans”) and simile (e.g. “her eyes were like oceans”).
Also keep an eye out for imagery in the text—recurring images that create a certain atmosphere or symbolize something important. Remember that language is used in literary texts to say more than it means on the surface.
- Who is telling the story?
- How are they telling it?
Is it a first-person narrator (“I”) who is personally involved in the story, or a third-person narrator who tells us about the characters from a distance?
Consider the narrator’s perspective . Is the narrator omniscient (where they know everything about all the characters and events), or do they only have partial knowledge? Are they an unreliable narrator who we are not supposed to take at face value? Authors often hint that their narrator might be giving us a distorted or dishonest version of events.
The tone of the text is also worth considering. Is the story intended to be comic, tragic, or something else? Are usually serious topics treated as funny, or vice versa ? Is the story realistic or fantastical (or somewhere in between)?
Consider how the text is structured, and how the structure relates to the story being told.
- Novels are often divided into chapters and parts.
- Poems are divided into lines, stanzas, and sometime cantos.
- Plays are divided into scenes and acts.
Think about why the author chose to divide the different parts of the text in the way they did.
There are also less formal structural elements to take into account. Does the story unfold in chronological order, or does it jump back and forth in time? Does it begin in medias res —in the middle of the action? Does the plot advance towards a clearly defined climax?
With poetry, consider how the rhyme and meter shape your understanding of the text and your impression of the tone. Try reading the poem aloud to get a sense of this.
In a play, you might consider how relationships between characters are built up through different scenes, and how the setting relates to the action. Watch out for dramatic irony , where the audience knows some detail that the characters don’t, creating a double meaning in their words, thoughts, or actions.
Your thesis in a literary analysis essay is the point you want to make about the text. It’s the core argument that gives your essay direction and prevents it from just being a collection of random observations about a text.
If you’re given a prompt for your essay, your thesis must answer or relate to the prompt. For example:
Essay question example
Is Franz Kafka’s “Before the Law” a religious parable?
Your thesis statement should be an answer to this question—not a simple yes or no, but a statement of why this is or isn’t the case:
Thesis statement example
Franz Kafka’s “Before the Law” is not a religious parable, but a story about bureaucratic alienation.
Sometimes you’ll be given freedom to choose your own topic; in this case, you’ll have to come up with an original thesis. Consider what stood out to you in the text; ask yourself questions about the elements that interested you, and consider how you might answer them.
Your thesis should be something arguable—that is, something that you think is true about the text, but which is not a simple matter of fact. It must be complex enough to develop through evidence and arguments across the course of your essay.
Say you’re analyzing the novel Frankenstein . You could start by asking yourself:
Your initial answer might be a surface-level description:
The character Frankenstein is portrayed negatively in Mary Shelley’s Frankenstein .
However, this statement is too simple to be an interesting thesis. After reading the text and analyzing its narrative voice and structure, you can develop the answer into a more nuanced and arguable thesis statement:
Mary Shelley uses shifting narrative perspectives to portray Frankenstein in an increasingly negative light as the novel goes on. While he initially appears to be a naive but sympathetic idealist, after the creature’s narrative Frankenstein begins to resemble—even in his own telling—the thoughtlessly cruel figure the creature represents him as.
Remember that you can revise your thesis statement throughout the writing process , so it doesn’t need to be perfectly formulated at this stage. The aim is to keep you focused as you analyze the text.
Finding textual evidence
To support your thesis statement, your essay will build an argument using textual evidence —specific parts of the text that demonstrate your point. This evidence is quoted and analyzed throughout your essay to explain your argument to the reader.
It can be useful to comb through the text in search of relevant quotations before you start writing. You might not end up using everything you find, and you may have to return to the text for more evidence as you write, but collecting textual evidence from the beginning will help you to structure your arguments and assess whether they’re convincing.
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To start your literary analysis paper, you’ll need two things: a good title, and an introduction.
Your title should clearly indicate what your analysis will focus on. It usually contains the name of the author and text(s) you’re analyzing. Keep it as concise and engaging as possible.
A common approach to the title is to use a relevant quote from the text, followed by a colon and then the rest of your title.
If you struggle to come up with a good title at first, don’t worry—this will be easier once you’ve begun writing the essay and have a better sense of your arguments.
“Fearful symmetry” : The violence of creation in William Blake’s “The Tyger”
The essay introduction provides a quick overview of where your argument is going. It should include your thesis statement and a summary of the essay’s structure.
A typical structure for an introduction is to begin with a general statement about the text and author, using this to lead into your thesis statement. You might refer to a commonly held idea about the text and show how your thesis will contradict it, or zoom in on a particular device you intend to focus on.
Then you can end with a brief indication of what’s coming up in the main body of the essay. This is called signposting. It will be more elaborate in longer essays, but in a short five-paragraph essay structure, it shouldn’t be more than one sentence.
Mary Shelley’s Frankenstein is often read as a crude cautionary tale about the dangers of scientific advancement unrestrained by ethical considerations. In this reading, protagonist Victor Frankenstein is a stable representation of the callous ambition of modern science throughout the novel. This essay, however, argues that far from providing a stable image of the character, Shelley uses shifting narrative perspectives to portray Frankenstein in an increasingly negative light as the novel goes on. While he initially appears to be a naive but sympathetic idealist, after the creature’s narrative Frankenstein begins to resemble—even in his own telling—the thoughtlessly cruel figure the creature represents him as. This essay begins by exploring the positive portrayal of Frankenstein in the first volume, then moves on to the creature’s perception of him, and finally discusses the third volume’s narrative shift toward viewing Frankenstein as the creature views him.
Some students prefer to write the introduction later in the process, and it’s not a bad idea. After all, you’ll have a clearer idea of the overall shape of your arguments once you’ve begun writing them!
If you do write the introduction first, you should still return to it later to make sure it lines up with what you ended up writing, and edit as necessary.
The body of your essay is everything between the introduction and conclusion. It contains your arguments and the textual evidence that supports them.
A typical structure for a high school literary analysis essay consists of five paragraphs : the three paragraphs of the body, plus the introduction and conclusion.
Each paragraph in the main body should focus on one topic. In the five-paragraph model, try to divide your argument into three main areas of analysis, all linked to your thesis. Don’t try to include everything you can think of to say about the text—only analysis that drives your argument.
In longer essays, the same principle applies on a broader scale. For example, you might have two or three sections in your main body, each with multiple paragraphs. Within these sections, you still want to begin new paragraphs at logical moments—a turn in the argument or the introduction of a new idea.
Robert’s first encounter with Gil-Martin suggests something of his sinister power. Robert feels “a sort of invisible power that drew me towards him.” He identifies the moment of their meeting as “the beginning of a series of adventures which has puzzled myself, and will puzzle the world when I am no more in it” (p. 89). Gil-Martin’s “invisible power” seems to be at work even at this distance from the moment described; before continuing the story, Robert feels compelled to anticipate at length what readers will make of his narrative after his approaching death. With this interjection, Hogg emphasizes the fatal influence Gil-Martin exercises from his first appearance.
To keep your points focused, it’s important to use a topic sentence at the beginning of each paragraph.
A good topic sentence allows a reader to see at a glance what the paragraph is about. It can introduce a new line of argument and connect or contrast it with the previous paragraph. Transition words like “however” or “moreover” are useful for creating smooth transitions:
… The story’s focus, therefore, is not upon the divine revelation that may be waiting beyond the door, but upon the mundane process of aging undergone by the man as he waits.
Nevertheless, the “radiance” that appears to stream from the door is typically treated as religious symbolism.
This topic sentence signals that the paragraph will address the question of religious symbolism, while the linking word “nevertheless” points out a contrast with the previous paragraph’s conclusion.
Using textual evidence
A key part of literary analysis is backing up your arguments with relevant evidence from the text. This involves introducing quotes from the text and explaining their significance to your point.
It’s important to contextualize quotes and explain why you’re using them; they should be properly introduced and analyzed, not treated as self-explanatory:
It isn’t always necessary to use a quote. Quoting is useful when you’re discussing the author’s language, but sometimes you’ll have to refer to plot points or structural elements that can’t be captured in a short quote.
In these cases, it’s more appropriate to paraphrase or summarize parts of the text—that is, to describe the relevant part in your own words:
The conclusion of your analysis shouldn’t introduce any new quotations or arguments. Instead, it’s about wrapping up the essay. Here, you summarize your key points and try to emphasize their significance to the reader.
A good way to approach this is to briefly summarize your key arguments, and then stress the conclusion they’ve led you to, highlighting the new perspective your thesis provides on the text as a whole:
By tracing the depiction of Frankenstein through the novel’s three volumes, I have demonstrated how the narrative structure shifts our perception of the character. While the Frankenstein of the first volume is depicted as having innocent intentions, the second and third volumes—first in the creature’s accusatory voice, and then in his own voice—increasingly undermine him, causing him to appear alternately ridiculous and vindictive. Far from the one-dimensional villain he is often taken to be, the character of Frankenstein is compelling because of the dynamic narrative frame in which he is placed. In this frame, Frankenstein’s narrative self-presentation responds to the images of him we see from others’ perspectives. This conclusion sheds new light on the novel, foregrounding Shelley’s unique layering of narrative perspectives and its importance for the depiction of character.
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Caulfield, J. (2022, September 02). How to Write a Literary Analysis Essay | A Step-by-Step Guide. Scribbr. Retrieved June 9, 2023, from https://www.scribbr.com/academic-essay/literary-analysis/
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Other students also liked, how to write a thesis statement | 4 steps & examples, academic paragraph structure | step-by-step guide & examples, how to write a narrative essay | example & tips, lewis dolan.
Hi, I'm wondering if you could address the structure of a literary analysis for a 10,000 word dissertation? Thanks
Shona McCombes (Scribbr Team)
Like an essay, a literary analysis dissertation should include an introduction and a conclusion. The body text should be divided into chapters with clear headings (2 or 3 body chapters would generally be appropriate for a dissertation of this length). Apart from that, there are no set rules for the structure – it just needs to be logically organized.
If you're analyzing several longer texts, you could focus on one text per chapter; if you're working with more than one author, you could focus on a different author per chapter; if you're working on a wider variety of texts (or on a single text), you can organize the chapters by theme or topic.
It might help to think of your dissertation as a series of smaller interrelated essays: each chapter should have a logical internal structure of its own, with an introduction and conclusion paragraph. In the main introduction and conclusion, you should make it clear how all the chapters fit together and contribute to your overall argument.
I hope that's helpful!
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How to Write a Language Analysis
Last Updated: April 30, 2020 References Approved
This article was co-authored by Jamie Korsmo, PhD . Jamie Korsmo is a Ph.D. candidate in English at Georgia State University. There are 11 references cited in this article, which can be found at the bottom of the page. wikiHow marks an article as reader-approved once it receives enough positive feedback. In this case, 88% of readers who voted found the article helpful, earning it our reader-approved status. This article has been viewed 166,843 times.
Understanding how to structure and write a language analysis is a useful skill that is necessary to succeed in many academic settings and college courses. Strong language analysis essays identify how the author of a particular piece of writing uses words to sway her readers' opinions. This type of essay provides the reader with a detailed analysis of the rhetorical devices used by an author and elucidates how these techniques persuade readers.
Understanding the Format
- For a language analysis, the text to be analyzed is usually chosen for you by your teacher. So you won't have to panic about choosing an appropriate text to analyze.
- The effectiveness of this type of essay depends on your ability to parse through the source material and uncover the moments of persuasion present, identify these moments, and explain their effectiveness to the reader. To this end, you must familiarize yourself with different kinds of rhetorical devices and persuasive techniques used by writers.
- Some common persuasive techniques include logical fallacies and rhetorical appeals (to ethos, pathos, or logos).
- Try an initial scan, followed by a more thorough detail reading. Reading once broadly and another time in detail can help you to define the overall ideas of the article or articles. Then go back and focus on the details you want to use in your language analysis.
- Taking notes as you go (by highlighting or underlining) will save you a lot of time later when you want to go back to the text for details to support your claims.
- Understanding an author's intention and point of view will help you organize your own thoughts and formulate your analysis.
Identifying Rhetorical Language Use
- Rhetorical situations usually involve employing language that is intended to persuade someone toward a particular view or belief. That is why rhetoric is important in a language analysis essay. These types of essays aim to uncover specific language used by authors in order to persuade readers.
- For example, if an author uses the word terminate to indicate an ending, this has a much more final, definite ending than to simply say that something is finished or came to an end. Choosing this word over others is a deliberate act on the part of the author, one that can be interrogated in a language analysis essay.
- An appeal to ethos is an ethical appeal that emphasizes the reliability or credibility of the author and their sources to prove a point.
- An appeal to logos is a logical application of evidence that appeals to the readers sense of logic or reason.
- An appeal to pathos is a rhetorical technique that weighs on people's emotions to sway their opinion one way or another.
- One example of a logical fallacy is a hasty generalization.  X Research source This fallacy involves reaching a conclusion before you have gathered adequate evidence on the subject. An example of a hasty generalization would be that all cows are black with white spots because you've seen three cows and all three of them were black with white spots.
- Another example of a logical fallacy is a slippery slope argument.  X Research source This fallacy involves arguing that if one event is allowed to happen, it will inevitably lead to an extreme and undesirable result. An example of a slippery slope argument would be: If we allow one hotel to be built on the lake, pretty soon the whole place will be worse than Las Vegas.
- In his play As You Like It, William Shakespeare’s Jacques famously says, All the world's a stage, / And all the men and women merely players: / They have their exits and their entrances.  X Research source This is a metaphor that compares the action of real life with the action of a theatrical play. Shakespeare says that world is a stage and all the people are actors, not merely that they are like actors.
- For example, saying she was as quiet as a mouse is an analogy that lets the reader know something about the subject, she , by relating a fact about her to a fact everyone knows (that mice are quiet).
Writing Your Analysis
- A good thesis statement is concise and clear. It tells the reader what the point of the paper is and why it's important. The thesis must make a claim of some sort.  X Research source
- For this type of essay, your thesis claim will probably be something like this: Through his use of ______ (whatever rhetorical technique you think your author employs), this author attempts to _______ (whatever you think the purpose of his persuasion is).
- Here is an example of a strong thesis statement: Excessive meat consumption in America is the leading cause of pollution today, and, thus, is a significant influence on global warming. This thesis makes a claim (specifically a cause and effect claim) about a debatable topic with a narrow enough focus to create an interesting, manageable argumentative essay.
- Here is an example of a weak thesis statement: Pollution is a problem in the world today. This is not a debatable issue; few people would argue that pollution is not a problem. The topic is also too broad. You can't write a paper on every single aspect of pollution.
- An example of a three-part thesis statement might look something like this: Global warming is caused by industrial pollution, automobile exhaust fumes, and waste dumping in the oceans. In this case, you would expect to find three body paragraphs: one about industrial pollution, one about car exhaust fumes, and one about trash in the ocean. Any other causes of pollution would not fit anywhere in this essay, which restricts the meaning and the message of the paper.
- Changing the thesis to avoid this form will make for a much more functional essay that is written at a more advanced level. A more effective thesis would be something like this: Due to increasing global temperatures and rising ocean levels, global warming has become an issue that needs to be acknowledged by a wider audience in order to begin reversing the effects.
- A good introduction should give enough background information that the reader feels intrigued and knows what to look for in the rest of the paper.
- Be sure to review your main points and restate your thesis. But make sure not to introduce any new information in the conclusion so that you can effectively wrap up what you've already said.
Revising and Applying Final Touches
- Sentence fragments.  X Research source Fragments are incomplete phrases that cannot stand alone as a sentence because they are missing either a verb, a noun, or a complete thought.
- Parallelism.  X Research source Errors in parallelism occur when words or groups of words do not appear in the same format or structure within a sentence.
- Subject-verb agreement.  X Research source Errors with subject-verb agreement happen when an incorrect verb form is used with a particular subject. For example, he know instead of he knows.
- Compare or contrast multiple articles. In an assignment that involves multiple pieces of source material, it can be extremely helpful to compare and contrast these clearly as part of the overall language analysis. ⧼thumbs_response⧽ Helpful 0 Not Helpful 0
- Always read the syllabus or special instructions. Many teachers who assign this type of work will include specific directions for those who need to complete it. Make sure you pay attention to these in creating the best and most effective language analysis. ⧼thumbs_response⧽ Helpful 0 Not Helpful 0
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- ↑ https://owl.english.purdue.edu/owl/resource/625/01/
- ↑ https://owl.english.purdue.edu/owl/resource/588/04/
- ↑ http://www.logicallyfallacious.com/index.php/logical-fallacies/101-hasty-generalization
- ↑ http://www.logicallyfallacious.com/index.php/logical-fallacies/163-slippery-slope
- ↑ http://literarydevices.net/metaphor/
- ↑ http://shakespeare.mit.edu/asyoulikeit/asyoulikeit.2.7.html
- ↑ https://owl.english.purdue.edu/owl/resource/588/01/
- ↑ https://owl.english.purdue.edu/owl/section/1/5/
- ↑ https://owl.english.purdue.edu/owl/resource/620/01/
- ↑ https://owl.english.purdue.edu/owl/resource/623/01/
- ↑ https://owl.english.purdue.edu/owl/resource/599/01/
About This Article
A language analysis is an essay that explores how an author tries to sway their readers about a subject. While you’re reading your text, highlight examples where the author's trying to convince you of something. Some common methods of persuasion include using metaphors, writing with emotional language, and using logical fallacies. Then, try to figure out what the author's overall goal is and come up with a thesis for your paper. For example, your thesis might look something like, "Through his use of emotional language, the author is attempting to persuade his readers that excessive meat consumption causes pollution." Write a paragraph for each method of persuasion and include quotes from the text to support your thesis. For more tips from our English co-author, including how to conclude your language analysis, read on! Did this summary help you? Yes No
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Computer Science > Computation and Language
Title: red teaming language model detectors with language models.
Abstract: The prevalence and high capacity of large language models (LLMs) present significant safety and ethical risks when malicious users exploit them for automated content generation. To prevent the potentially deceptive usage of LLMs, recent works have proposed several algorithms to detect machine-generated text. In this paper, we systematically test the reliability of the existing detectors, by designing two types of attack strategies to fool the detectors: 1) replacing words with their synonyms based on the context; 2) altering the writing style of generated text. These strategies are implemented by instructing LLMs to generate synonymous word substitutions or writing directives that modify the style without human involvement, and the LLMs leveraged in the attack can also be protected by detectors. Our research reveals that our attacks effectively compromise the performance of all tested detectors, thereby underscoring the urgent need for the development of more robust machine-generated text detection systems.
- Download a PDF of the paper titled Red Teaming Language Model Detectors with Language Models, by Zhouxing Shi and 5 other authors PDF
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AQA English Language Paper 1 June 2023
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8 June 2023
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Linguistic Analysis: Memory and Language
DateDespite the decades of meticulous research, the notion of linguistic studies still has a variety of aspects that require further examination. One of these aspects concerns the emergence of a language as a verbal system of communication. Among the series of theories, researchers find it hard to identify the most appropriate one. Some of the theories include a focus on the human intention to communicate, the speech itself, or syntax, while others claim the language evolution to be multicomponent (Fitch, 2017). Such a variety of approaches to language makes it more to complicated to define the way of the language classification.
At some point, linguistic studies required morphological typology basis upon which further examination would be possible. Thus, at the beginning of the 19th century, German poet and translator A. W. von Schlegel defined the approach to language classification by dividing them into the groups of synthetic and analytic languages (Haspelmath & Michaelis, 2017). Whereas synthetic languages perform grammatical variations with the help of inflections, analytic ones tend to make use of word combinations and auxiliary verbs. Due to such distinction, languages vary significantly in their case marking, verb agreement, and syntax. In the course of this assignment, the data of one of the indigenous languages of Peru will be examined with the help of contrastive and descriptive analyses.
The first part of the research will be dedicated to the analysis of the language’s phonetic and morphemic structure. A word, being a universally accepted language unit bearing independent semantic meaning, consists of morphemes, which, in their turn, fall into phonemes. According to scholars, morphemes are divided into free and bound, where free morphemes can exist as a separate word, and bound morphemes bear only grammatical meaning (Velupillai, 2012). In order to define the further construction of the given language, it is necessary to specify whether the words include bound morphemes and case inflections.
The variation of the verbal representation of the word woman will be used to demonstrate the construction. Among the four examples, one can define four variations of the word, including warmita, warmi, warmikuna, warmikunata . By analyzing this word, it may be noticed that the morpheme warmi- is present in all words, forming the word’s root. Velupillai (2012) defines the root as “the smallest unit with any semantic content” (p. 90).
Other morphemes present in words include bound morphemes, or inflections -ta-, and -kuna-. The range of inflections allows one to assume that the indigenous language of Peru given in the assignment is synthetic. Researchers claim that synthetic languages do not have to pay as much attention to syntax as analytic ones (AlA’amiri & Jameel, 2019). As the English language is a vivid example of an analytic language, its syntactic structure will be compared later in the paper.
In the further course of the investigation, the case marking of the language will be defined. Case marking is primarily designed to identify the constituents’ agreement within a syntactical unit (Avetisyan, Lago, & Vasishth, 2020). In order to define the grammatical aspect of case marking of the language provided, the following sentences are to be compared:
- warmita rikun ‘he/she sees the woman’;
- warmi rikun ‘the woman sees him/her.’
The provided syntactical unit shows the subject-object juxtaposition by shifting the word woman . As it was mentioned previously, analytic languages pay much attention to syntax in order to convey the semantic context behind the structure. Such a process of grammatical relations change is evident in the example of English sentences, where woman has shifted from a sentence subject to an object of an action (Tallerman, 2014). Thus, the basic constituent order, expressed by subject (S), verb (V), and object (O) within a sentence is obligatory in order to define the agent, or the doer of the action (Whaley, 1996).
However, once the sentences of the given language are analyzed, it may be noticed that the order of constituents remained the same in both cases. By means of an Adaptive Grammar model of the segmentation algorithm, which focuses on identifying the morphological units, the inflectional morphemes can be estimated (Loukatou, Stoll, Blasi, & Cristia, 2018). The primary difference between derivational and inflectional morphemes lies in the fact that latter ones are not able to change the part of speech, modifying the word’s grammatical category of number or person instead.
The grammatical relation is instead marked by case inflection -ta, forming the word’s Genitive case. The presence of this case inflection signifies the existence of other cases common to synthetic languages like Latin or Spanish. Another important aspect of nouns is the ways they modify in terms of number. The category of quantity is one of the universals for practically any language family (Mingazova, Subich, & Shangaraeva, 2016).
In the case of the given language, the plural form of the noun also depends on the constituent’s position in the syntactical unit. Hence, warmikuna ‘woman’ as a subject is formed with the help of suffix – kuna -. However, once the constituent’s role shifts to the action’s object, the Genitive case of the noun is added, forming the word warmikunata .
The role of the noun within a sentence is also of crucial importance for the language. In English, for example, the agent and the action are of equal significance for the syntactical unit, making the verb take the position right after the noun. Researchers claim that on the level of subconsciousness, recipients tend to perceive the information better once the order of constituents is fixed (Arantzeta et al., 2017). In the given language, the order is similar to Latin, where the nouns are placed before the verb like in the sentence warmi runtuta dalirqa ‘the woman hit an egg.’
Having analyzed the noun by means of contrastive analysis, it was established that the given language falls into the category of synthetic languages. The evidence for this statement is in the presence of a wide variety of inflectional affixes. Additionally, the word order in a sentence is similar to that of Latin, which, while having free word order, still aims at preserving the sequence of the subject, object, and verb (Devine & Stephens, 2017). In order to define other major language characteristics, it is necessary to dwell upon the verb descriptive analysis.
Verb, as a part of speech, has always been a significant constituent of both language and its syntactical structure. The verb usually helps the recipient estimate some additional information about the action and its agent. For comparison, an English verb as part of a sentence defines the object of the unit, which usually follows the action (Kilby, 2019). However, with different constituents order in the given language, the verb should include more features in order to define the sentence’s subject and object.
In order to take a closer look at this part of the speech, the word speak will be analyzed. To begin with, it is necessary to note the categories verb usually has in a language. According to de Haan, major categories expressed by this part of speech are the ones of tense, aspect, and modality (Song, 2011). Additionally, verbs also tend to present grammatical categories of person, number, and semantic categories of situations and events (Dickey, 2016). Hence, speaking of the word speak , its first-person singular form in the present is rimani , while the same past form is rimarqani. The third-person singular forms are riman and rimarga , respectively. Finally, the third person plural forms in the present and past are rimanku and rimarqaku .
Based on this data, it may be concluded that while all the forms have the root rima -, the inflections help define the verb’s categories of absolute tense, person, and number. The division of absolute tense implies the moment when the action happened (past, present, or future) in relation to the moment of speaking (Merkibayev, Seisenbayeva, Bekkozhanova, Koblanova, & Alikhankyzy, 2018). Unfortunately, the data provided is not exhaustive to examine the grammatical categories of aspect and modality.
In order to finish the analysis, the issue of alignment in the language should be mentioned. In linguistics, alignment marks the relations between the arguments of the transitive and intransitive verbs (Zúñiga, 2018). Having synthetic characteristics, the given language presents the Nominative-Accusative type of alignment, which is primarily characterized by placing the subject of the sentence in a Nominative case, while the object obtains Accusative or Genitive case.
Considering the investigation, it may be concluded that the language presented for the study is characterized by major features of a synthetic language. Some of the most remarkable characteristics include a wide variety of case marking and inflectional affixes, SOV constituent order in the sentence with Nominative-Accusative type of morphosyntactic alignment. However, in order to define more features of the language, a wider range of empirical data should be provided.
AlA’amiri, B. F. K., & Jameel, A. F. (2019). Morphological Typology: A Comparative Study of Some Selected Languages. Journal of College of Education/Wasit , 1 (37), 709-724.
Arantzeta, M., Bastiaanse, R., Burchert, F., Wieling, M., Martinez-Zabaleta, M., & Laka, I. (2017). Eye-tracking the effect of word order in sentence comprehension in aphasia: evidence from Basque, a free word order ergative language. Language, Cognition and Neuroscience , 32 (10), 1320-1343.
Avetisyan, S., Lago, S., & Vasishth, S. (2020). Does case marking affect agreement attraction in comprehension? Journal of Memory and Language , 112 , 104087.
Devine, A. M., & Stephens, L. D. (2017). Towards a Syntax-Semantics Interface for Latin. Catalan journal of linguistics , 16 , 79-100.
Dickey, S. (2016). Lexical and grammatical aspect. The Routledge Handbook of Semantics , 338-353.
Fitch, W. T. (2017). Empirical approaches to the study of language evolution. Psychonomic bulletin & review , 24 (1), 3-33.
Haspelmath, M., & Michaelis, S. M. (2017). Analytic and synthetic. In Language Variation-European Perspectives VI: Selected papers from the Eighth International Conference on Language Variation in Europe (ICLaVE 8), Leipzig, May 2015 (Vol. 19, p. 3). John Benjamins Publishing Company.
Kilby, D. (2019). Descriptive syntax and the English verb . London, United Kingdom: Routledge.
Loukatou, G., Stoll, S., Blasi, D., & Cristia, A. (2018). Modeling infant segmentation of two morphologically diverse languages. In Actes de la conférence Traitement Automatique de la Langue Naturelle, TALN (Vol. 1, pp. 47-57).
Merkibayev, T., Seisenbayeva, Z., Bekkozhanova, G., Koblanova, A., & Alikhankyzy, G. (2018). Oppositions in the conceptual and linguistic category of time. Opción , 34 (85-2), 116-148.
Mingazova, N. G., Subich, V. G., & Shangaraeva, L. (2016). The Semantic Morphological Category of Noun Number in Structurally Different Languages. International Journal of Environmental and Science Education , 11 (15), 8387-8402.
Song, J. J. (Ed.). (2011). The Oxford handbook of linguistic typology . Oxford, United Kingdom: Oxford University Press.
Tallerman, M. (2014). Understanding syntax . London, United Kingdom: Routledge.
Velupillai, V. (2012). An introduction to linguistic typology . Amsterdam, Netherlands: John Benjamins.
Whaley, L. J. (1996). Introduction to typology: the unity and diversity of language . New York, NY: Sage.
Zúñiga, F. (2018). The diachrony of morphosyntactic alignment. Language and linguistics compass , 12 (9), e12300.
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Leaving Cert: Higher level English paper 1 analysis
English teacher Clodagh Havel, with the Institute Of Education, gives her analysis for the higher level English paper 1 exam this year.
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Jee advanced 2023 paper 2 analysis: moderate to difficult level paper, say students and experts, check out the detailed section-wise analysis of jee advanced 2023 paper 2..
By India Today Education Desk : The JEE Advanced 2023 organised by IIT Guwahati for admission to the 23 IITs was held on June 4, 2023. The exam had two papers, namely Paper-1 and Paper-2 and both were compulsory. The first sitting (Paper-1) was held between 9:00 am till 12:00 noon and the second sitting (Paper-2) was held between 2:30 pm till 5:30 pm.
- Total marks of paper 2 were 180 and the duration: 3 hrs
- The paper had (51) questions with 17 questions in each subject.
- Paper-2 had (03) three parts- Physics, Chemistry & Mathematics.
- Max. Marks for each part were 60
- Sec-I (Max. marks-12)
- Sec-II (Max. Marks-12)
- Sec-III (Max. marks-24)
- Sec-IV (Max. marks-12)
- Sec-I had (04) Four Questions with four options in which only ONE option was correct.
- Full marks: +3 If only the correct option is chosen
- Zero Marks:: 0 If none of the options are chosen
- Negative Marks: -1 In all other cases
Sec-II had (03) Four questions with four options in which ONE OR MORE THAN ONE option(s) were correct.
- Full marks: +4 If only (all) the correct options are chosen
- Partial Marks: +3 If all four options are correct but ONLY three correct options are chosen
- Partial Marks: +2 If three or more options are correct, only two correct options are chosen
- Partial Marks: +1 If two or more options are correct, only one correct option is chosen
- Negative Marks: -2 In all other cases
Sec-III had (06) Six questions of Numerical Based (Non-Negative Integer Type)
- Full marks: +4 for the correct answer
- Zero Marks: 0 in all other cases
- Sec-IV had (04) four questions based on two paragraphs with (02) two paragraphs in each paragraph (Numerical based Decimal Type with answer correct to 2 decimal places)
Marking scheme in this section:
Full marks: +3 for the correct answer. Zero Marks:: 0 in all other cases.
- Students found the overall level of paper moderate to difficult but not easy.
- Some students have reported Physics and Chemistry were Moderate, but Maths was relatively difficult.
- Chemistry was tricky for students. More weightage is given to Organic and Physical Chemistry as compared to Inorganic.
- Inorganic Chemistry had a few questions which were directly from NCERT.
- In Physical Chemistry, questions covered Chemical Kinetics, Ionic & Chemical Equilibrium, Electrochemistry, and Thermodynamics (with more than one question).
- In Organic Chemistry, questions are mostly asked from Aryl & Alkyl halides, Amines, Polymers, Biomolecules, and Oxygen-containing Compounds. Mixed concepts questions were asked. This section was reported as moderate as per students.
- More weightage was given to chapters like Wave & Sound, Wave Optics, Fluids, EM Waves, Thermodynamics, Modern Physics, Current Electricity, Kinematics, Gravitation, Electrostatics.
- Overall, Physics was moderate as per students. Students felt this section was not balanced. Some questions had tricky & lengthy calculations.
- Mathematics was unbalanced & tricky as per students
- There were questions from Functions, Differential Equations, Inverse Trigonometric functions, Differentiability, Vectors, 3D Geometry, Application of Derivatives, Complex Numbers, Matrices, Circle Permutation & Combination and Probability. Students felt this section was the toughest
- No mistakes reported till now as the complete paper is yet to be analysed.
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Abstract. This handbook compares the main analytic frameworks and methods of contemporary linguistics It offers an overview of linguistic theory, revealing the common concerns of competing approaches. By showing their current and potential applications, the book provides the means by which linguists and others can judge what are the most useful ...
As large language models (LLMs) have demonstrated their powerful capabilities in plenty of domains and tasks, including context understanding, code generation, language generation, data storytelling, etc., many data analysts may raise concerns if their jobs will be replaced by AI. This controversial topic has drawn a lot of attention in public. However, we are still at a stage of divergent ...
The present study scrutinized a framework and brief overview of the key elements of forensic linguistics covering the discipline, the history and development of it, and the use of linguistic evidence in legal proceedings. Moreover, the typical types of linguistic evidence such as author identification, forensic stylistics, discourse analysis ...
Step 1: Reading the text and identifying literary devices Step 2: Coming up with a thesis Step 3: Writing a title and introduction Step 4: Writing the body of the essay Step 5: Writing a conclusion Step 1: Reading the text and identifying literary devices The first step is to carefully read the text (s) and take initial notes.
The formation of slots based on the analysis will allow further research to analyze the speech of real addressees of sports communication. The definitional analysis of terminological units will help to determine the linguistic component of the mechanisms for organizing the speech behavior of the communicants of the martial arts sports discourse.
Try an initial scan, followed by a more thorough detail reading. Reading once broadly and another time in detail can help you to define the overall ideas of the article or articles. Then go back and focus on the details you want to use in your language analysis. 2. Highlight or underline key passages.
The prevalence and high capacity of large language models (LLMs) present significant safety and ethical risks when malicious users exploit them for automated content generation. To prevent the potentially deceptive usage of LLMs, recent works have proposed several algorithms to detect machine-generated text. In this paper, we systematically test the reliability of the existing detectors, by ...
A linguistics thesis is an original research project undertaken during your senior year at Harvard College . You will conduct research into past literature on your topic, con-duct analysis of relevant data (including designing and running an experiment, where relevant) and, eventually, produce a written final product of between 50-70 pages Your .
AQA English Language Paper 1 Section A walkthrough pack for the June 2023 paper. Includes: Model answers for Q1, Q2, Q3 and Q4. Analysis and breakdown of all questions and answers provided. Success criteria. Exam walkthrough tasks. Timings. Exam tips and advice. Please note that the extract from Life of Pi by Yann Martel is not included in the ...
Among the four examples, one can define four variations of the word, including warmita, warmi, warmikuna, warmikunata. By analyzing this word, it may be noticed that the morpheme warmi- is present in all words, forming the word's root. Velupillai (2012) defines the root as "the smallest unit with any semantic content" (p. 90).
English teacher Clodagh Havel, with the Institute Of Education, gives her analysis for the higher level English paper 1 exam this year. US Special Counsel, Jack Smith, said it was critical to ...
1000 results for "Linguistic" . ★Recommended Essay Linguistic and Nonlinguistic Causes of Why an Individual May Have Difficulties in Reading Words: 597 Length: 2 Pages Document Type: Term Paper Paper #: 51180719 Read Full Paper Linguistic and Nonlinguistic Causes of why an Individual may have Difficulties in Reading.
Here's a quick analysis of the JEE Advanced (Paper-2) afternoon session by Ramesh Batlish, Managing Partner- FIITJEE Noida: Total marks of paper 2 were 180 and the duration: 3 hrs; The paper had (51) questions with 17 questions in each subject. Paper-2 had (03) three parts- Physics, Chemistry & Mathematics. Max. Marks for each part were 60