Using Comparable Corpora for Under-Resourced Areas of Machine Translation



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Éditeur :

Springer


Collection :

Theory and Applications of Natural Language Processing

Paru le : 2019-02-06



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Description

This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the Web, evaluating comparability and extracting parallel data that can be used for the machine translation task. It is divided into several sections, each covering a specific task such as building, processing, and using comparable corpora, focusing particularly on under-resourced language pairs and domains.
The book is intended for anyone interested in data-driven machine translation for under-resourced languages and domains, especially for developers of machine translation systems, computational linguists and language workers. It offers a valuable resource for specialists and students in natural language processing, machine translation, corpus linguistics and computer-assisted translation, and promotes the broader use of comparable corpora in natural language processing and computational linguistics.







Pages
323 pages
Collection
Theory and Applications of Natural Language Processing
Parution
2019-02-06
Marque
Springer
EAN papier
9783319990033
EAN PDF
9783319990040

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
6676 Ko
Prix
137,14 €
EAN EPUB
9783319990040

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
22487 Ko
Prix
137,14 €