Text Resources and Lexical Knowledge (Hardcover)

Angelika Storrer

ISBN 10: 3110207354 / ISBN 13: 9783110207354

Published by De Gruyter, Berlin, 2008

About this Item

Hardcover. This book contains selected state-of-the-art contributions to the 9th conference on natural language processing, KONVENS 2008 (Konferenz zur Verarbeitung natuerlicher Sprache), with the central theme: text resources and lexical knowledge. The collection is unique in its placement of focus on the interaction between both of the above-mentioned fields, illustrating in particular the importance of methods in corpus linguistics for building lexical resources on the one hand, and the relevance of lexical resources for the analysis of and intelligent search methods for text corpora on the other. The selected articles all present novel approaches to one of three different research areas which in turn define the three parts of the book: Techniques and models for the linguistic analysis of text resources: contributions from computational linguistics Methods and tools for the acquisition of lexical knowledge from digitized and linguistically annotated text resourcesApproaches to the representation of lexical knowledge in digital media for various purposes. Research in Natural Language Processing is critically dependent on adequate electronic text resources and a rich representation of lexical knowledge. This title presents a collection of papers, selected from contributions to the 9th conference on Natural Language Processing (KONVENS 2008), that explores their dynamic interaction. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9783110207354

Bibliographic Details

• Title: Text Resources and Lexical Knowledge (Hardcover)
• Publisher: De Gruyter, Berlin
• Publication Date: 2008
• Language: English
• ISBN 10: 3110207354
• ISBN 13: 9783110207354
• Binding: Hardcover
• Condition: new

About this title

Synopsis

Research in Natural Language Processing is critically dependent on adequate electronic text resources and a rich representation of lexical knowledge. Their dynamic interaction is explored in this collection of papers, selected from contributions to the 9th conference on Natural Language Processing (KONVENS 2008).

About the Author

Angelika Storrer, Universität Dormund, Germany; Alexander Geyken, Alexander Siebert and Kay-Michael Würzner; Berlin-Brandenburgische Akademie der Wissenschaften, Germany.