Corpus Processing for Lexical Acquisition

Branimir Boguraev et James Pustejovsky

ISBN 10: 026202392X / ISBN 13: 9780262023924

Edité par MIT Press, 1996

A propos de cet article

Ancien livre de bibliothèque. Couverture différente. Edition 1996. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Different cover. Edition 1996. Ammareal gives back up to 15% of this item's net price to charity organizations.

N° de réf. du vendeur E-521-623

Détails bibliographiques

• Titre: Corpus Processing for Lexical Acquisition
• Éditeur: MIT Press
• Date de parution: 1996
• Langue: anglais
• ISBN à 10 chiffres: 026202392X
• ISBN à 13 chiffres: 9780262023924
• Reliure: Hardcover
• État de l'article: Très bon

A propos de ce titre

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. 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