Adaptation of machine translation for multilingual information retrieval in the medical domain.

Objective: We investigate machine translation (MT) of user search queries in the context of cross-lingual information retrieval (IR) in the medical domain. The main focus is on techniques to adapt MT to increase translation quality; however, we also explore MT adaptation to improve effectiveness of cross-lingual IR.

Methods And Data: Our MT system is Moses, a state-of-the-art phrase-based statistical machine translation system.