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Corpus Processing for Lexical Acquisition

Corpus Processing for Lexical Acquisition Cover

 

Synopses & Reviews

Publisher Comments:

The lexicon has emerged from the study of computational linguistics as a fundamental resource that enables a variety of linguistic processes to operate in the course of tasks ranging from language analysis and text processing to machine translation. Lexicon acquisition, therefore, plays an essential part in getting any natural language processing system to function in the real world. Computers that process natural language require a variety of lexical information in addition to what can be found in standard dictionaries. Moreover, machine-readable dictionaries of the conventional sort have been found to be inadequate for fully supporting realistic natural language processing tasks. This volume describes corpus processing techniques that can be used to extract the additional lexical information required.

Bringing together a balanced blend of the theoretical and practical, the contributions provide the most recent look at lexical acquisition techniques and practices. These include coping with unknown lexicalizations, task-driven lexical induction, categorization of lexical units, lexical semantics from corpus analysis, and measuring lexical acquisition.

The problems addressed reflect a host of topics including recognition of open compounds, incremental acquisition of meanings from sentence usages, recognition of new senses of existing words, sense disambiguation, recognition of specific classes of works, and recognition and annotation of patterns of word use, each of them important to the overall language analysis process, and each employing text analysis techniques in a useful and theoretically motivated way.

Language, Speech, and Communication series

Synopsis:

The lexicon has emerged from the study of computational linguistics as a fundamental resource that enables a variety of linguistic processes to operate in the course of tasks ranging from language analysis and text processing to machine translation. Lexicon acquisition, therefore, plays an essential part in getting any natural language processing system to function in the real world. Computers that process natural language require a variety of lexical information in addition to what can be found in standard dictionaries. Moreover, machine-readable dictionaries of the conventional sort have been found to be inadequate for fully supporting realistic natural language processing tasks. This volume describes corpus processing techniques that can be used to extract the additional lexical information required.

Synopsis:

Language, Speech, and Communication series

Description:

Includes bibliographical references (p. [217]-227) and index.

Product Details

ISBN:
9780262023924
Editor:
Boguraev, Branimir
Editor:
Pustejovsky, James
Author:
Pustejovsky, James
Author:
Boguraev, Branimir
Other:
Boguraev, Bran
Publisher:
The MIT Press
Location:
Cambridge, Mass. :
Subject:
General
Subject:
Linguistics
Subject:
Language and languages
Subject:
Information storage and retrieval systems
Subject:
Natural Language Processing
Subject:
Natural language processing (computer science
Subject:
Computer Science
Series:
Language, Speech, and Communication Bradford Books
Series Volume:
104-111
Publication Date:
19960523
Binding:
Hardback
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
50
Pages:
263
Dimensions:
9.23x6.25x.97 in. 1.20 lbs.

Related Subjects

Computers and Internet » Artificial Intelligence » Natural Language

Corpus Processing for Lexical Acquisition
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Product details 263 pages MIT Press - English 9780262023924 Reviews:
"Synopsis" by , The lexicon has emerged from the study of computational linguistics as a fundamental resource that enables a variety of linguistic processes to operate in the course of tasks ranging from language analysis and text processing to machine translation. Lexicon acquisition, therefore, plays an essential part in getting any natural language processing system to function in the real world. Computers that process natural language require a variety of lexical information in addition to what can be found in standard dictionaries. Moreover, machine-readable dictionaries of the conventional sort have been found to be inadequate for fully supporting realistic natural language processing tasks. This volume describes corpus processing techniques that can be used to extract the additional lexical information required.
"Synopsis" by , Language, Speech, and Communication series
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