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