Project Adaptation for MT-Enhanced Computer Assisted Translation

Abstract

The effective integration of MT technology into CAT tools is a challenging topic both for academic research and the translation industry. Particularly, professional translators feel crucial the ability of MT systems to adapt to their feedback. In this paper, we propose an adaptation scheme to tune a statistical MT system to a translation project using small amounts of post-edited texts. By running field tests on two domains with 8 professional translators working with a CAT tool, productivity gains up to over 20% were measured after applying MT project adaptation