Paper: Character-Based Pivot Translation for Under-Resourced Languages and Domains

ACL ID E12-1015
Title Character-Based Pivot Translation for Under-Resourced Languages and Domains
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

In this paper we investigate the use of character-level translation models to sup- port the translation from and to under- resourced languages and textual domains via closely related pivot languages. Our ex- periments show that these low-level models can be successful even with tiny amounts of training data. We test the approach on movie subtitles for three language pairs and legal texts for another language pair in a do- main adaptation task. Our pivot translations outperform the baselines by a large margin.