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The Yearbook of Corpus Linguistics and Pragmatics 2013 discusses current methodological debates on the synergy of Corpus Linguistics and Pragmatics research.
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This book reviews computational tools for lexical, syntactic, semantic, pragmatic and discourse analysis, with instructions on how to obtain, install and use each tool. Covers studies using Natural Language Processing, and offers ideas for better integration.
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This book presents a comprehensive overview of semi-supervised approaches to dependency parsing.
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This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT).
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This book explores novel aspects of social robotics, spoken dialogue systems, human-robot interaction, spoken language understanding, multimodal communication, and system evaluation.
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Using a corpus linguistics methodology, it describes how the English clause system currently behaves, how it has developed over the history of the language, and how the features and properties of English clause combination have important theoretical and empirical significance.
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This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT).
Bemærk: Kan ikke leveres før jul.
This book presents a comprehensive overview of semi-supervised approaches to dependency parsing.
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The book alsoincludes an overview of evolutionary fuzzy systems, a topic that is not one of Mayor’s main areas of interest, and a final chapterwritten by the Spanish pioneer in fuzzylogic, Professor E.
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In the meantime, it was realized that they can be used for solving important problems of prediction and statistical... Læs mere
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This book covers key issues related to Geospatial Semantic Web, including geospatial web services for spatial data interoperability; interfaces for Geospatial Semantic Web, VGI (Volunteered Geographic Information) and Geospatial Semantic Web;
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This book serves as a starting point for Semantic Web (SW) students and researchers interested in discovering what Natural Language Processing (NLP) has to offer.