Introduction To Natural Language Semantics


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Introduction to Natural Language Semantics


Introduction to Natural Language Semantics

Author: Henriktte de Swart

language: en

Publisher: Center for the Study of Language and Information Publications

Release Date: 1998-06-28


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This introduction is concerned with the semantics of natural languages. The text examines what issues semantics, as a theory of meaning, should address: determining what the meanings of words of the language are and how to semantically combine elements of a language to build up complex meanings. Logical languages are then developed as formal metalanguages to natural language. Subsequent chapters address propositional logic, the syntax and semantics of (first-order) predicate logic as an extension of propositional logic, and generalized quantifier theory. Going beyond extensional theory, de Swart relativizes the interpretation of expressions to times to account for verbal tense, time adverbials, and temporal connectives, and introduces possible worlds to modal intensions, modal adverbs, and modal auxiliaries.

Natural Language Processing


Natural Language Processing

Author: Epaminondas Kapetanios

language: en

Publisher: CRC Press

Release Date: 2013-11-14


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This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, and the nature of language. The book also emphasizes the portions of mathematics needed to understand the discussed algorithms.

Speech and Language Processing


Speech and Language Processing

Author: Daniel Jurafsky

language: en

Publisher:

Release Date: 2000-01


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This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.