Paper: Should We Translate The Documents Or The Queries In Cross-Language Information Retrieval?

ACL ID P99-1027
Title Should We Translate The Documents Or The Queries In Cross-Language Information Retrieval?
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

Previous comparisons of document and query translation suffered difficulty due to differing quality of machine translation in these two opposite directions. We avoid this difficulty by training identical statistical translation models for both translation di- rections using the same training data. We in- vestigate information retrieval between En- glish and French, incorporating both trans- lations directions into both document trans- lation and query translation-based informa- tion retrieval, as well as into hybrid sys- tems. We find that hybrids of document and query translation-based systems out- perform query translation systems, even human-quality query translation systems.