Computational semantics is the study of how software interprets language to form structured meanings. It uses inference, templates, and algorithms to derive exact meanings and represent ambiguities. It is applied to computer programming, automated machinery, speech recognition, and OCR programs. The goal is to interpret meaning automatically and efficiently.
Semantics is a study of how words, phrases, and even symbols and signs relate to each other to form a structured meaning. The processing of this meaning, from the point of view of data and human language, is called computational semantics. Software can use semantics to interpret sentences and create some form of output, but language often features sounds and words that can have similar meanings. Computational semantics typically focuses on forming exact meanings for sentences, often in the form of a theory.
Interpretations of sentences that don’t make sense can be filtered using inference, which is also sometimes used to rank the possibilities of different interpretations. Formulas for language understanding can be created using templates, where mathematical variables are assigned to different language elements. The letters P and Q are often used with proof theory, where formulas can be derived from others with the help of inference rules. Calculation of words in a sentence sometimes helps to derive meanings or to find alternative ones. Also, mathematical computations called algorithms are often applied to computer science, linguistics, and statistics in the field of computational semantics.
The purpose of computational semantics is to represent ambiguities, or sentences that can have different meanings, in a formulaic way. It also involves processing words that rely on context to be understood. The goal is usually to automatically interpret a meaning, as well as to relate the method for doing so, so that other computational processes are performed more efficiently.
Computer science typically applies semantics to interpret languages, in order to understand a piece of information called an expression. Language is usually processed by computers this way; data can also be structured to represent specific information in a system. Organized meaning of the language is generally applied to computer programming languages, with variables often represented as X or Y. Data on the Internet is organized in the Semantic Web, where data models are typically implemented to structure information online.
In addition to software programming, computational semantics is often applied to the operation of automated machinery, speech recognition systems, and optical character recognition (OCR) programs. Natural language processing normally allows such systems to function efficiently. It also provides a means for humans to work effectively on computers. Software systems typically recognize words in a sentence or web search, understanding the speech elements and the linguistic elements that link them together.
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