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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]
To explain the relationship between semiotics and communication studies, communication is defined as the process of transferring data and-or meaning from a source to a receiver. Hence, communication theorists construct models based on codes, media, and contexts to explain the biology , psychology , and mechanics involved.
Semantics, although related to pragmatics, is distinct in that the former deals with word or sentence choice in any given 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 ...
Today, communication studies is a wide discipline. Some works in it try to provide a general characterization of communication in the widest sense. Others attempt to give a precise analysis of one specific form of communication. Communication studies includes many subfields.
Conceptual semantics is a framework for semantic analysis developed mainly by Ray Jackendoff in 1976. Its aim is to provide a characterization of the conceptual elements by which a person understands words and sentences, and thus to provide an explanatory semantic representation (title of a Jackendoff 1976 paper).
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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
Semantics of an object depends on the context it is regarded within. For practical application this means any formal representation of real world tasks requires the translation of the contextual expert knowledge of an application (high-level) into the elementary and reproducible operations of a computing machine (low-level).