Improved Domain Adaptation for Statistical Machine Translation
Venue
AMTA-2012, The Association for Machine Translation in the Americas
Publication Year
2012
Authors
Wei Wang, Klaus Macherey, Wolfgang Macherey, Franz Och, Peng Xu
BibTeX
Abstract
We present a simple and effective infrastructure for domain adaptation for
statistical machine translation (MT). To build MT systems for different domains, it
trains, tunes and deploys a single translation system that is capable of producing
adapted domain translations and preserving the original generic accuracy at the
same time. The approach uni?es automatic domain detection and domain model
parameterization into one system. Experiment results on 20 language pairs
demonstrate its viability
