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Semantic Analysis (linguistics)
In linguistics, semantic analysis is the process of relating syntactic structures, from the levels of words, phrases, clauses, sentence (linguistics), sentences and paragraphs to the level of the writing as a whole, to their language-independent meaning (linguistics), meanings. It also involves removing features specific to particular linguistic and cultural contexts, to the extent that such a project is possible. The elements of idiom and figure of speech, figurative speech, being cultural, are often also converted into relatively invariant meanings in semantic analysis. Semantics, although related to pragmatics, is distinct in that the former deals with word or sentence choice in any given context (language use), context, while pragmatics considers the unique or particular meaning derived from context or tone. To reiterate in different terms, semantics is about universally coded meaning, and pragmatics, the meaning encoded in words that is then interpreted by an audience. Sema ...
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Linguistics
Linguistics is the scientific study of language. The areas of linguistic analysis are syntax (rules governing the structure of sentences), semantics (meaning), Morphology (linguistics), morphology (structure of words), phonetics (speech sounds and equivalent gestures in sign languages), phonology (the abstract sound system of a particular language, and analogous systems of sign languages), and pragmatics (how the context of use contributes to meaning). Subdisciplines such as biolinguistics (the study of the biological variables and evolution of language) and psycholinguistics (the study of psychological factors in human language) bridge many of these divisions. Linguistics encompasses Outline of linguistics, many branches and subfields that span both theoretical and practical applications. Theoretical linguistics is concerned with understanding the universal grammar, universal and Philosophy of language#Nature of language, fundamental nature of language and developing a general ...
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Polysemy
Polysemy ( or ; ) is the capacity for a Sign (semiotics), sign (e.g. a symbol, morpheme, word, or phrase) to have multiple related meanings. For example, a word can have several word senses. Polysemy is distinct from ''monosemy'', where a word has a single meaning. Polysemy is distinct from homonymy—or homophone, homophony—which is an Accident (philosophy), accidental similarity between two or more words (such as ''bear'' the animal, and the verb wikt:bear#Etymology 2, ''bear''); whereas homonymy is a mere linguistic coincidence, polysemy is not. In discerning whether a given set of meanings represent polysemy or homonymy, it is often necessary to look at the history of the word to see whether the two meanings are historically related. Lexicography, Dictionary writers often list polysemes (words or phrases with different, but related, senses) in the same entry (that is, under the same headword) and enter homonyms as separate headwords (usually with a numbering convention such ...
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Semantics
Semantics is the study of linguistic Meaning (philosophy), meaning. It examines what meaning is, how words get their meaning, and how the meaning of a complex expression depends on its parts. Part of this process involves the distinction between sense and reference. Sense is given by the ideas and concepts associated with an expression while reference is the object to which an expression points. Semantics contrasts with syntax, which studies the rules that dictate how to create grammatically correct sentences, and pragmatics, which investigates how people use language in communication. Lexical semantics is the branch of semantics that studies word meaning. It examines whether words have one or several meanings and in what lexical relations they stand to one another. Phrasal semantics studies the meaning of sentences by exploring the phenomenon of compositionality or how new meanings can be created by arranging words. Formal semantics (natural language), Formal semantics relies o ...
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Sememe
A sememe (; ) is a semantic language unit of meaning, analogous to a morpheme. The concept is relevant in structural semiotics. A seme is a proposed unit of transmitted or intended meaning; it is atomic or indivisible. A sememe can be the meaning expressed by a morpheme, such as the English pluralizing morpheme ''-s'', which carries the sememic feature plural Alternatively, a single sememe (for example oor ove can be conceived as the abstract representation of such verbs as ''skate'', ''roll'', ''jump'', ''slide'', ''turn'', or ''boogie''. It can be thought of as the semantic counterpart to any of the following: a meme in a culture, a gene in a genome, or an atom (or, more generally, an elementary particle) in a substance. A seme is the name for the smallest unit of meaning recognized in semantics, referring to a single characteristic of a sememe. There are five types of sememes: two denotational and three connotational, the latter occurring only in phrase units (they do not r ...
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Semantic Structure Analysis
Semantic structure analysis (or SSA) is a methodology for systematic description of the intended meaning of natural language, developed by the Summer Institute of Linguistics. The name is also used for Eugene Nida's technique for mapping lexical items from a source language to a receptor language in translation theory. See also * Semantic analysis Notes and references Bibliography * Beekman, John, John C. Callow, and Michael F. Kopesec (1981). The Semantic Structure of Written Communication'. Dallas: Summer Institute of Linguistics. * Bouchard, Denis. ''The Semantics of Syntax: a minimalist approach to grammar''. * Bruce, Leslie P. (1998). "The semantics of reconciliation in three languages". '' Notes on Linguistics'' 83: 9–34. * Casad, Eugene H., ed., (1996). Cognitive Linguistics in the Redwoods the expansion of a new paradigm in linguistics''. Cognitive Linguistics Research 6. Berlin: Mouton de Gruyter. * Erikson, Richard J. (1999). "The damned and the justifi ...
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Translation
Translation is the communication of the semantics, meaning of a #Source and target languages, source-language text by means of an Dynamic and formal equivalence, equivalent #Source and target languages, target-language text. The English language draws a terminological distinction (which does not exist in every language) between ''translating'' (a written text) and ''interpreting'' (oral or Sign language, signed communication between users of different languages); under this distinction, translation can begin only after the appearance of writing within a language community. A translator always risks inadvertently introducing source-language words, grammar, or syntax into the target-language rendering. On the other hand, such "spill-overs" have sometimes imported useful source-language calques and loanwords that have enriched target languages. Translators, including early translators of sacred texts, have helped shape the very languages into which they have translated. Becau ...
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Literal And Figurative Language
The distinction between literal and figurative language exists in all natural languages; the phenomenon is studied within certain areas of language analysis, in particular stylistics, rhetoric, and semantics. *Literal language is the usage of words exactly according to their direct, straightforward, or conventionally accepted meanings: their denotation. *Figurative (or non-literal) language is the usage of words in addition to, or deviating beyond, their conventionally accepted definitions in order to convey a more complex meaning or achieve a heightened effect. This is done by language-users presenting words in such a way that their audience equates, compares, or associates the words with normally unrelated meanings. A common intended effect of figurative language is to elicit audience responses that are especially emotional (like excitement, shock, laughter, etc.), aesthetic, or intellectual. The ancient Greek philosopher Aristotle, and later the Roman rhetorician Quintilian, w ...
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Semantic Analysis (machine Learning)
In machine learning, semantic analysis of a text corpus is the task of building structures that approximate concepts from a large set of documents. It generally does not involve prior semantic understanding of the documents. Semantic analysis strategies include: * Metalanguages based on first-order logic, which can analyze the speech of humans. * Understanding the semantics of a text is symbol grounding: if language is grounded, it is equal to recognizing a machine-readable meaning. For the restricted domain of spatial analysis, a computer-based language understanding system was demonstrated. * Latent semantic analysis (LSA), a class of techniques where documents are represented as vectors in a term space. A prominent example is probabilistic latent semantic analysis (PLSA). * Latent Dirichlet allocation, which involves attributing document terms to topics. * n-grams and hidden Markov models, which work by representing the term stream as a Markov chain, in which each term is ...
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Discourse Analysis
Discourse analysis (DA), or discourse studies, is an approach to the analysis of written, spoken, or sign language, including any significant semiotic event. The objects of discourse analysis (discourse, writing, conversation, communicative symbolic interactionism, event) are variously defined in terms of coherent sequences of sentence (linguistics), sentences, propositions, speech acts, speech, or Conversation Analysis#Turn-taking organization, turns-at-talk. Contrary to much of traditional linguistics, discourse analysts not only study language use 'beyond the sentence boundary' but also prefer to analyze 'naturally occurring' language use, not invented examples. Text linguistics is a closely related field. The essential difference between discourse analysis and text linguistics is that discourse analysis aims at revealing social psychology (sociology), socio-psychological characteristics of a person/persons rather than text structure. Discourse analysis has been taken up in ...
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Lexical Analysis
Lexical tokenization is conversion of a text into (semantically or syntactically) meaningful ''lexical tokens'' belonging to categories defined by a "lexer" program. In case of a natural language, those categories include nouns, verbs, adjectives, punctuations etc. In case of a programming language, the categories include identifiers, operators, grouping symbols, data types and language keywords. Lexical tokenization is related to the type of tokenization used in large language models (LLMs) but with two differences. First, lexical tokenization is usually based on a lexical grammar, whereas LLM tokenizers are usually probability-based. Second, LLM tokenizers perform a second step that converts the tokens into numerical values. Rule-based programs A rule-based program, performing lexical tokenization, is called ''tokenizer'', or ''scanner'', although ''scanner'' is also a term for the first stage of a lexer. A lexer forms the first phase of a compiler frontend in processing. ...
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Stylometry
Stylometry is the application of the study of linguistic style, usually to written language. Argamon, Shlomo, Kevin Burns, and Shlomo Dubnov, eds. The structure of style: algorithmic approaches to understanding manner and meaning. Springer Science & Business Media, 2010. It has also been applied successfully to music, paintings, and chess. Stylometry is often used to attribute authorship to anonymous or disputed documents. It has legal as well as academic and literary applications, ranging from the question of the authorship of Shakespeare's works to forensic linguistics and has methodological similarities with the analysis of text readability. Stylometry may be used to unmask pseudonymous or anonymous authors, or to reveal some information about the author short of a full identification. Authors may use adversarial stylometry to resist this identification by eliminating their own stylistic characteristics without changing the meaningful content of their communications. ...
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