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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]
General semantics is a school of thought that incorporates philosophic and scientific aspects. Although it does not stand on its own as a separate school of philosophy, a separate science, or an academic discipline, it describes itself as a scientifically empirical approach to cognition and problem solving.
Semantics within psychology is the study of how meaning is stored in the mind. Semantic memory is a type of long-term declarative memory that refers to facts or ideas which are not immediately drawn from personal experience.
Semantics assigns computational meaning to valid strings in a programming language syntax. It is closely related to, and often crosses over with, the semantics of mathematical proofs . Semantics describes the processes a computer follows when executing a program in that specific language.
Linguistics is the scientific study of language. [1] [2] [3] The areas of linguistic analysis are syntax (rules governing the structure of sentences), semantics (meaning), 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 ...
Lexical semantics (also known as lexicosemantics), as a subfield of linguistic semantics, is the study of word meanings. [1] [2] It includes the study of how words structure their meaning, how they act in grammar and compositionality, [1] and the relationships between the distinct senses and uses of a word.
Cognitive semantics is part of the cognitive linguistics movement. Semantics is the study of linguistic meaning. Cognitive semantics holds that language is part of a more general human cognitive ability, and can therefore only describe the world as people conceive of it. [1]
Semantic technologies are "meaning-centered". They involve but are not limited to the following areas of application: encoding/decoding of semantic representation, knowledge graphs of entities and their interrelationships, auto-recognition of topics and concepts, information and meaning extraction, semantic data integration, and; taxonomies ...