Publication - Towards Using Web-Crawled Data for Domain Adaptation in Statistical Machine Translation

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Towards Using Web-Crawled Data for Domain Adaptation in Statistical Machine Translation

Research Area:  
    
Type:  
In Proceedings

 

Year: 2011
Authors: Pavel Pecina; Antonio Toral; Andy Way; Prokopis Prokopidis; Vassilis Papavassiliou; Maria Giagkou
Editor: M.L. Forcada; H. Depraetere; V. Vadeghinste
Book title: Proceedings of the 15th Annual conference of the European Association for Machine Translation
Pages: 297-304
Address: Leuven, Belgium
Date: May
Abstract:
This paper reports on the ongoing work focused on domain adaptation of statistical machine translation using domain-specific data obtained by domain-focused crawling of the web. We present a strategy for crawling monolingual and parallel data and their exploitation for testing, language modelling, and system tuning in a phrase-based machine translation framework. The proposed approach is evaluated on the domains of Natural Environment and Labour Legislation and two language pairs: English–French and English–Greek.
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