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Semantics studies meaning in language, which is limited to the meaning of linguistic expressions. It concerns how signs are interpreted and what information they contain. An example is the meaning of words provided in dictionary definitions by giving synonymous expressions or paraphrases, like defining the meaning of the term ram as adult male sheep. [22]
Explanatory in this sense refers to the ability of a given linguistic theory to describe how a component of language is acquired by a child (as proposed by Noam Chomsky; see Levels of adequacy). Recently, conceptual semantics in particular, and lexical semantics in general, have taken on increasing importance in linguistics and psycholinguistics.
semantics – study of meaning; lexical semantics – the study of what the words of a language denote and how it is that they do this; word-sense induction – the task of automatically acquiring the senses of a target word; word-sense disambiguation – the task of automatically associating a sense with a word in context
In linguistics, semantic analysis is the process of relating syntactic structures, from the levels of words, phrases, clauses, sentences and paragraphs to the level of the writing as a whole, to their language-independent meanings. It also involves removing features specific to particular linguistic and cultural contexts, to the extent that ...
Semantic properties or meaning properties are those aspects of a linguistic unit, such as a morpheme, word, or sentence, that contribute to the meaning of that unit.Basic semantic properties include being meaningful or meaningless – for example, whether a given word is part of a language's lexicon with a generally understood meaning; polysemy, having multiple, typically related, meanings ...
A semantic feature is a component of the concept associated with a lexical item ('female' + 'performer' = 'actress'). More generally, it can also be a component of the concept associated with any grammatical unit, whether composed or not ('female' + 'performer' = 'the female performer' or 'the actress').
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Word-sense disambiguation is the process of ... in computers to do natural language processing and machine learning. ... the semantic variant which minimizes the ...