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).
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Angelika Storrer, Universität Dormund, Germany; Alexander Geyken, Alexander Siebert and Kay-Michael Würzner; Berlin-Brandenburgische Akademie der Wissenschaften, Germany.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 268 pp. Englisch. Nº de ref. del artículo: 9783110207354
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783110207354
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 linguisticsMethods 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.Walter de Gruyter GmbH, Genthiner Strasse 13, 10785 Berlin 268 pp. Englisch. Nº de ref. del artículo: 9783110207354
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