Text resources and lexical knowledge. Selected papers from the 9th Conference on Natural Language Processing, KONVENS 2008. (= Text, translation, computational processing, Vol. 8).

Storrer, Angelika / Geyken, Alexander u.a. [Hrsg.]:

ISBN 10: 3110207354 / ISBN 13: 9783110207354

Published by Berlin / New York, Mouton de Gruyter, 2008

About this Item

VIII, 260 S., sehr gutes Exemplar, Text in Englisch / original hardcover, very fine, text in English, Sprache: Englisch Gewicht in Gramm: 505.

Seller Inventory # 2598

Bibliographic Details

• Title: Text resources and lexical knowledge. Selected papers from the 9th Conference on Natural Language Processing, KONVENS 2008. (= Text, translation, computational processing, Vol. 8).
• Publisher: Berlin / New York, Mouton de Gruyter
• Publication Date: 2008
• Language: English
• ISBN 10: 3110207354
• ISBN 13: 9783110207354
• Binding: 8°., Original-Pappband,
• Weight: 505 grams
• Seller catalogs:
  • Literatur- und Sprachwissenschaft

About this title

Synopsis

This book contains selected state-of-the-art contributions to the 9th conference on natural language processing, KONVENS 2008 (Konferenz zur Verarbeitung natürlicher 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 resources
• Approaches to the representation of lexical knowledge in digital media for various purposes.
  

About the Author

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