Paper: Fast Domain Adaptation of SMT models without in-Domain Parallel Data

ACL ID C14-1105
Title Fast Domain Adaptation of SMT models without in-Domain Parallel Data
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

We address a challenging problem frequently faced by MT service providers: creating a domain- specific system based on a purely source-monolingual sample of text from the domain. We solve this problem by introducing methods for domain adaptation requiring no in-domain parallel data. Our approach yields results comparable to state-of-the-art systems optimized on an in-domain parallel set with a drop of as little as 0.5 BLEU points across 4 domains.