Domain Adaptation in MT Using Titles in Wikipedia as a Parallel Corpus: Resources and Evaluation

Gorka Labaka, Iñaki Alegria, Kepa Sarasola


Abstract
This paper presents how an state-of-the-art SMT system is enriched by using an extra in-domain parallel corpora extracted from Wikipedia. We collect corpora from parallel titles and from parallel fragments in comparable articles from Wikipedia. We carried out an evaluation with a double objective: evaluating the quality of the extracted data and evaluating the improvement due to the domain-adaptation. We think this can be very useful for languages with limited amount of parallel corpora, where in-domain data is crucial to improve the performance of MT sytems. The experiments on the Spanish-English language pair improve a baseline trained with the Europarl corpus in more than 2 points of BLEU when translating in the Computer Science domain.
Anthology ID:
L16-1351
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2209–2213
Language:
URL:
https://www.aclweb.org/anthology/L16-1351
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/L16-1351.pdf