Paper: Active learning for interactive machine translation

ACL ID E12-1025
Title Active learning for interactive machine translation
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

Translation needs have greatly increased during the last years. In many situa- tions, text to be translated constitutes an unbounded stream of data that grows con- tinually with time. An effective approach to translate text documents is to follow an interactive-predictive paradigm in which both the system is guided by the user and the user is assisted by the system to generate error-free translations. Unfortu- nately, when processing such unbounded data streams even this approach requires an overwhelming amount of manpower. Is in this scenario where the use of active learn- ing techniques is compelling. In this work, we propose different active learning tech- niques for interactive machine translation. Results show that for a given translation quality the use of active learning allows us t...