Building and Using Comparable Corpora
Sharoff, Serge
Verkauft von Chiron Media, Wallingford, Vereinigtes Königreich
AbeBooks-Verkäufer seit 2. August 2010
Neu - Softcover
Zustand: New
Anzahl: 10 verfügbar
In den Warenkorb legenVerkauft von Chiron Media, Wallingford, Vereinigtes Königreich
AbeBooks-Verkäufer seit 2. August 2010
Zustand: New
Anzahl: 10 verfügbar
In den Warenkorb legenBestandsnummer des Verkäufers 6666-IUK-9783662520062
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.
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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