Paper: Statistical Machine Translation based Passage Retrieval for Cross-Lingual Question Answering

ACL ID I08-2104
Title Statistical Machine Translation based Passage Retrieval for Cross-Lingual Question Answering
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008
Authors

In this paper, we propose a novel ap- proach for Cross-Lingual Question Answer- ing (CLQA). In the proposed method, the statistical machine translation (SMT) is deeply incorporated into the question an- swering process, instead of using it as the pre-processing of the mono-lingual QA pro- cess as in the previous work. The proposed method can be considered as exploiting the SMT-basedpassage retrieval forCLQAtask. We applied our method to the English-to- Japanese CLQA system and evaluated the performance by using NTCIR CLQA 1 and 2 test collections. The result showed that the proposed method outperformed the previous pre-translation approach.