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ISBN 10: 3662520060 ISBN 13: 9783662520062
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Taschenbuch. Condition: Neu. Building and Using Comparable Corpora | Serge Sharoff (u. a.) | Taschenbuch | xii | Englisch | 2016 | Springer | EAN 9783662520062 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer Berlin Heidelberg, 2016
ISBN 10: 3662520060 ISBN 13: 9783662520062
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The 1990s saw a paradigm change in the use of corpus-driven methods in NLP. In the field of multilingual NLP (such as machine translation and terminology mining) this implied the use of parallel corpora. However, parallel resources are relatively scarce: many more texts are produced daily by native speakers of any given language than translated. This situation resulted in a natural drive towards the use of comparable corpora, i.e. non-parallel texts in the same domain or genre. Nevertheless, this research direction has not produced a single authoritative source suitable for researchers and students coming to the field. The proposed volume providesa reference source, identifying the state of the art in the field as well as future trends. The book is intended for specialists and students in natural language processing, machine translation and computer-assisted translation.
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2014
ISBN 10: 364220127X ISBN 13: 9783642201271
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The 1990s saw a paradigm change in the use of corpus-driven methods in NLP. In the field of multilingual NLP (such as machine translation and terminology mining) this implied the use of parallel corpora. However, parallel resources are relatively scarce: many more texts are produced daily by native speakers of any given language than translated. This situation resulted in a natural drive towards the use of comparable corpora, i.e. non-parallel texts in the same domain or genre. Nevertheless, this research direction has not produced a single authoritative source suitable for researchers and students coming to the field. The proposed volume providesa reference source, identifying the state of the art in the field as well as future trends. The book is intended for specialists and students in natural language processing, machine translation and computer-assisted translation.
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