Paper: Improvements in Analogical Learning: Application to Translating Multi-Terms of the Medical Domain

ACL ID E09-1056
Title Improvements in Analogical Learning: Application to Translating Multi-Terms of the Medical Domain
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

Handling terminology is an important matter in a translation workflow. However, current Machine Translation (MT) sys- tems do not yet propose anything proactive upon tools which assist in managing termi- nological databases. In this work, we in- vestigate several enhancements to analog- ical learning and test our implementation on translating medical terms. We show that the analogical engine works equally well when translating from and into a mor- phologically rich language, or when deal- ing with language pairs written in differ- ent scripts. Combining it with a phrase- based statistical engine leads to significant improvements.