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Semantics (Greek sēmantikos, giving signs, significant, symptomatic, from sēma (), sign) refers to the aspects of meaning that are expressed in a language, code, or other form of representation. Semantics is contrasted with two other aspects of meaningful expression, namely, syntax, the construction of complex signs from simpler signs, and pragmatics, the practical use of signs by agents or communities of interpretation in particular circumstances and contexts.[1] By the usual convention that calls a study or a theory by the name of its subject matter, semantics may also denote the theoretical study of meaning in systems of signs.
Though terminology varies, writers on the subject of meaning generally recognize two sorts of meaning that a significant expression may have: (1) the relation that a sign has to objects and objective situations, actual or possible, and (2) the relation that a sign has to other signs, most especially the sorts of mental signs that are conceived of as concepts.
Most theorists refer to the relation between a sign and its objects, as always including any manner of objective reference, as its denotation. Some theorists refer to the relation between a sign and the signs that serve in its practical interpretation as its connotation, but there are many more differences of opinion and distinctions of theory that are made in this case. Many theorists, especially in the formal semantic, pragmatic, and semiotic traditions, restrict the application of semantics to the denotative aspect, using other terms or completely ignoring the connotative aspect.
The word semantic (from French sémantique) was invented by Michel Bréal during the 19th century.
In linguistics, semantics is the subfield that is devoted to the study of meaning, as borne on the syntactic levels of words, phrases, sentences, and sometimes larger units of discourse, generically referred to as texts. As with any empirical science, semantics involves the interplay of concrete data with theoretical concepts. Traditionally, semantics has included the study of connotative sense and denotative reference, truth conditions, argument structure, thematic roles, discourse analysis, and the linkage of all of these to syntax.
The decompositional perspective towards meaning holds that the meaning of words can be analyzed by defining meaning atoms or primitives, which establish a language of thought. An area of study is the meaning of compounds, another is the study of relations between different linguistic expressions (homonymy, synonymy, antonymy, polysemy, paronyms, hypernymy, hyponymy, meronymy, metonymy, holonymy, exocentric, and endocentric).
This traditional view of semantics, as a finite meaning inherent in a lexical unit that can be composed to generate meanings for larger chunks of discourse, is being fiercely debated in the emerging domain of cognitive linguistics[2] and also in the non-Fodorian camp in Philosophy of Language[3]. The challenge is motivated by
A concrete example of the latter phenomenon is semantic underspecification — meanings are not complete without some elements of context. To take an example of a single word, "red", its meaning in a phrase such as red book is similar to many other usages, and can be viewed as compositional[4]. However, the colour implied in phrases such as "red wine" (very dark), and "red hair" (coppery), or "red soil", or "red skin" - are very different. Indeed, these colours by themselves would not be called "red" by native speakers. These instances are contrastive, so "red wine" is so called only in comparison with the other kind of wine (which also is not "white" for the same reasons). This view goes back to de Saussure: Each of a set of synonyms like redouter ('to dread'), craindre ('to fear'), avoir peur ('to be afraid') has its particular value only because they stand in contrast with one another. No word has a value that can be identified independently of what else is in its vicinity.[5] and may go back to earlier Indian views on language, especially the Nyaya view of words as indicators and not carriers of meaning[6].
An attempt to defend a system based on propositional meaning for semantic underspecification can be found in the Generative Lexicon model of James Pustejovsky, who extends contextual operations (based on type shifting) into the lexicon. Thus meanings are generated on the fly based on finite context.
Another set of concepts related to fuzziness in semantics is based on prototypes. The work of Eleanor Rosch and George Lakoff in the 1970s led to a view that natural categories are not characterizable in terms of necessary and sufficient conditions, but are graded (fuzzy at their boundaries) and inconsistent as to the status of their constituent members.
Systems of categories are not objectively "out there" in the world but are rooted in people's experience. These categories evolve as learned concepts of the world —meaning is not an objective truth, but a subjective construct, learned from experience, and language arises out of the "grounding of our conceptual systems in shared embodiment and bodily experience"[7]. A corollary of this is that the conceptual categories (i.e. the lexicon) will not be identical for different cultures, or indeed, for every individual in the same culture. This leads to another debate (see the Whorf-Sapir hypothesis or Eskimo words for snow).
Many of the formal approaches to semantics in mathematical logic and computer science originated in the study of philosophy of language. Initially, the most influential semantic theory stemmed from Gottlob Frege and Bertrand Russell. Frege and Russell are seen as the originators of a tradition in analytic philosophy to explain meaning via syntax and mathematical functionality. Ludwig Wittgenstein, a former student of Russell, is also seen as one of seminal figures in the analytic tradition. All three of these early philsophers of language were concerned with how sentences expressed information in the form of propositions and with the truth values or truth conditions a given sentence has in virtue of the proposition it expresses.
In computer science, considered in part as an application of mathematical logic, semantics reflects the meaning of programs or functions.
The Semantic Web refers to the extension of the World Wide Web through the embedding of additional semantic metadata.
In psychology, semantic memory is memory for meaning, in other words, the aspect of memory that preserves only the gist, the general significance, of remembered experience, while episodic memory is memory for the ephemeral details, the individual features, or the unique particulars of experience. Word meaning is measured by the company they keep; the relationships among words themselves in a semantic network. In a network created by people analyzing their understanding of the word (such as Wordnet) the links and decomposition structures of the network are few in number and kind; and include "part of", "kind of", and similar links. In automated ontologies the links are computed vectors without explicit meaning. Various automjated technologies are being developed to compute the meaning of words: latent semantic indexing and support vector machines as well as natural language processing, neural networks and predicate calculus techniques.
In International Scientific Vocabulary semantics is also called semasiology.
()эмантыка Intellexer - Software for Semantic Analysis of Text