Computational Lexicography For Natural Language Processing

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Lexical Functions in Lexicography and Natural Language Processing

Author: Leo Wanner
language: en
Publisher: John Benjamins Publishing
Release Date: 1996-02-23
Lexical Functions in Lexicography and Natural Language Processing is entirely devoted to the topic of Lexical Functions, which have been introduced in the framework of the Meaning-Text Theory (MTT) as a means for describing restricted lexical co-occurrence and derivational relations. It provides detailed background information, comparative studies of other known proposals for the representation of relations covered by Lexical Functions, as well as a selection of most important works done on and with Lexical Functions in lexicography and computational linguistics. This volume provides excellent course material while it also reports on the state-of-the-art in the field.
Computational Lexicography for Natural Language Processing

Addresses all the issues involved in placing lexical sources on-line, employing the machine-readable version of the Longman Dictionary of contemporary English. Also considers the utility and suitability of LDOCE for automated natural language processing, including details of how to use the information in the dictionary in the construction of practical language processing systems. Co-published in the US with Wiley. Annotation copyrighted by Book News, Inc., Portland, OR
Challenges in Natural Language Processing

Author: Madeleine Bates
language: en
Publisher: Cambridge University Press
Release Date: 2006-11-23
Though natural language processing has come far in the past twenty years, the technology has not achieved a major impact on society. Is this because of some fundamental limitation that cannot be overcome? Or because there has not been enough time to refine and apply theoretical work already done? Editors Madeleine Bates and Ralph Weischedel believe it is neither; they feel that several critical issues have never been adequately addressed in either theoretical or applied work, and they have invited capable researchers in the field to do that in Challenges in Natural Language Processing.