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Computational Lexical Semantics (Studies in Natural Language Processing) Hardcover – February 24, 1995

ISBN-13: 978-0521444101 ISBN-10: 0521444101

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Product Details

  • Series: Studies in Natural Language Processing
  • Hardcover: 457 pages
  • Publisher: Cambridge University Press (February 24, 1995)
  • Language: English
  • ISBN-10: 0521444101
  • ISBN-13: 978-0521444101
  • Product Dimensions: 6 x 1.2 x 9 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,034,566 in Books (See Top 100 in Books)

Editorial Reviews

Review

"...supplies a fascinating snapshot of the state-of-the-art in the early 1990s." Paul Deane, Computational Linguistics

Book Description

Lexical semantics has become a major research area within computational linguistics, drawing from psycholinguistics, knowledge representation, and computer algorithms and architecture. Research programs whose goal is the definition of large lexicons are asking what the appropriate representation structure is for different facets of lexical information. Among these facets, semantic information is probably the most complex and the least explored. Computational Lexical Semantics is one of the first volumes to provide models for the creation of various kinds of computerized lexicons for the automatic treatment of natural language, with applications to machine translation, automatic indexing, and database front-ends, knowledge extraction, among other things. It focuses on semantic issues, as seen by linguists, psychologists, and computer scientists. Besides describing academic research, it also covers ongoing industrial projects.

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2 of 4 people found the following review helpful By Xia Yunqing on April 3, 2000
Format: Hardcover
LComputational Lexical Semantics is one of the first volumes to provide models for the creation of various kinds of computerized lexicons for the automatic treatment of natural language, with applications to machine translation, automatic indexing, and database front-ends, knowledge extraction, among other things. It focuses on semantic issues, as seen by linguists, psychologists, and computer scientists.
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