Building and Using Comparable Corpora

Nonfiction, Reference & Language, Language Arts, Linguistics, Computers, Advanced Computing, General Computing
Cover of the book Building and Using Comparable Corpora by , Springer Berlin Heidelberg
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Author: ISBN: 9783642201288
Publisher: Springer Berlin Heidelberg Publication: December 13, 2013
Imprint: Springer Language: English
Author:
ISBN: 9783642201288
Publisher: Springer Berlin Heidelberg
Publication: December 13, 2013
Imprint: Springer
Language: English

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 provides a 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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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 provides a 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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