Building and Using Comparable Corpora

Serge Sharoff

ISBN 10: 3662520060 / ISBN 13: 9783662520062

Edité par Springer Berlin Heidelberg, 2016

A propos de cet article

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.

N° de réf. du vendeur 9783662520062

Détails bibliographiques

• Titre: Building and Using Comparable Corpora
• Éditeur: Springer Berlin Heidelberg
• Date de parution: 2016
• Langue: anglais
• ISBN à 10 chiffres: 3662520060
• ISBN à 13 chiffres: 9783662520062
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.