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Semantic Processing for Finite Domains

2006-02-13 Language Arts & Disciplines
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Release : 2006-02-13
Genre : Language Arts & Disciplines
Kind : eBook
Book Rating : 037/5 ( reviews)

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Book Synopsis Semantic Processing for Finite Domains by : Martha Stone Palmer

Download or read book Semantic Processing for Finite Domains written by Martha Stone Palmer. This book was released on 2006-02-13. Available in PDF, EPUB and Kindle. Book excerpt: A primary problem in the area of natural language processing has been semantic analysis. This book looks at the semantics of natural languages in context. It presents an approach to the computational processing of English text that combines current theories of knowledge representation and reasoning in Artificial Intelligence with the latest linguistic views of lexical semantics. The book will interest postgraduates and researchers in computational linguistics as well as industrial research groups specializing in natural language processing.

Extended Finite State Models of Language

1999-09-13 Computers
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Release : 1999-09-13
Genre : Computers
Kind : eBook
Book Rating : 983/5 ( reviews)

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Book Synopsis Extended Finite State Models of Language by : Andras Kornai

Download or read book Extended Finite State Models of Language written by Andras Kornai. This book was released on 1999-09-13. Available in PDF, EPUB and Kindle. Book excerpt: This book and CD-ROM cover the breadth of contemporary finite state language modeling, from mathematical foundations to developing and debugging specific grammars.

Semantic Domains in Computational Linguistics

2009-07-31 Language Arts & Disciplines
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Release : 2009-07-31
Genre : Language Arts & Disciplines
Kind : eBook
Book Rating : 582/5 ( reviews)

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Book Synopsis Semantic Domains in Computational Linguistics by : Alfio Gliozzo

Download or read book Semantic Domains in Computational Linguistics written by Alfio Gliozzo. This book was released on 2009-07-31. Available in PDF, EPUB and Kindle. Book excerpt: Semantic fields are lexically coherent – the words they contain co-occur in texts. In this book the authors introduce and define semantic domains, a computational model for lexical semantics inspired by the theory of semantic fields. Semantic domains allow us to exploit domain features for texts, terms and concepts, and they can significantly boost the performance of natural-language processing systems. Semantic domains can be derived from existing lexical resources or can be acquired from corpora in an unsupervised manner. They also have the property of interlinguality, and they can be used to relate terms in different languages in multilingual application scenarios. The authors give a comprehensive explanation of the computational model, with detailed chapters on semantic domains, domain models, and applications of the technique in text categorization, word sense disambiguation, and cross-language text categorization. This book is suitable for researchers and graduate students in computational linguistics.

Distributional Semantics

2023-09-30 Computers
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Release : 2023-09-30
Genre : Computers
Kind : eBook
Book Rating : 292/5 ( reviews)

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Book Synopsis Distributional Semantics by : Alessandro Lenci

Download or read book Distributional Semantics written by Alessandro Lenci. This book was released on 2023-09-30. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive foundation of distributional methods in computational modeling of meaning. It aims to build a common understanding of the theoretical and methodological foundations for students of computational linguistics, natural language processing, computer science, artificial intelligence, and cognitive science.

Memory-Based Language Processing

2005-09 Computers
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Release : 2005-09
Genre : Computers
Kind : eBook
Book Rating : 903/5 ( reviews)

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Book Synopsis Memory-Based Language Processing by : Walter Daelemans

Download or read book Memory-Based Language Processing written by Walter Daelemans. This book was released on 2005-09. Available in PDF, EPUB and Kindle. Book excerpt: Memory-based language processing--a machine learning and problem solving method for language technology--is based on the idea that the direct re-use of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information.

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