Towards using web-crawled data for domain adaptation in statistical machine translation (2011)
| Venue: | In Proceedings of the 15th Conference of the European Association for Machine Translation |
| Citations: | 1 - 0 self |
BibTeX
@INPROCEEDINGS{Pecina11towardsusing,
author = {Pavel Pecina and Antonio Toral and Andy Way and Vassilis Papavassiliou and Prokopis Prokopidis and Maria Giagkou},
title = {Towards using web-crawled data for domain adaptation in statistical machine translation},
booktitle = {In Proceedings of the 15th Conference of the European Association for Machine Translation},
year = {2011},
pages = {297--304}
}
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Abstract
This paper reports on the ongoing work focused on domain adaptation of statistical machine translation using domain-specific data obtained by domain-focused web crawling. 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.
Citations
| 45 | BootCaT: Bootstrapping corpora and terms from the Web - Baroni, Bernardini - 2004 |
| 25 | Adaptation of the translation model for statistical machine translation based information retrieval - Hildebrand, Eck, et al. - 2005 |
| 20 | Language model adaptation for statistical machine translation with structured query models - Zhao, Eck, et al. - 2004 |
| 2 | Combining Multi-Domain Statistical Machine Translation Models using Automatic Classifiers - Banerjee, Du, et al. - 2010 |
| 2 | Combining content-based and url-based heuristics to harvest aligned bitexts from multilingual sites with bitextor. The Prague Bulletin of Mathemathical Lingustics - Esplà-Gomis, Forcada - 2010 |
