Relational Models of the Lexicon: Representing Knowledge in Semantic Networks (Studies in Natural Language Processing)

Evens, Martha

ISBN 10: 0521104769 / ISBN 13: 9780521104760

Published by Cambridge University Press, 2009

About this Item

Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Previously water damaged.

Seller Inventory # wbb0023168686

Bibliographic Details

• Title: Relational Models of the Lexicon: Representing Knowledge in Semantic Networks (Studies in Natural Language Processing)
• Publisher: Cambridge University Press
• Publication Date: 2009
• Language: English
• ISBN 10: 0521104769
• ISBN 13: 9780521104760
• Binding: Soft cover
• Condition: Good
• Weight: 621.4 grams

About this title

Synopsis

With the first publication of this book in 1988, the centrality of the lexicon in language research was becoming increasingly apparent and the use of relational models of the lexicon had been the particular focus of research in a variety of disciplines since the early 1980s. This convergence of approach made the present collection especially welcome for bringing together reports of theoretical developments and applications in relational semantics in computer science, linguistics, cognitive science, anthropology and industrial research. It explains in detail some important applications of relational models to the construction of natural language interfaces, the building of thesauri for bibliographic information retrieval systems and the compilation of terminology banks for machine translation systems. Relational Models of the Lexicon not only provides an invaluable survey of research in relational semantics, but offers a stimulus for potential research advances in semantics, natural language processing and knowledge representation.

Book Description

Relational Models of the Lexicon not only provides an invaluable survey of research in relational semantics, but offers a stimulus for potential research advances in semantics, natural language processing and knowledge representation.