Applying Machine Translation to Two-Stage Cross-Language Information Retrieval
<|reference_start|>Applying Machine Translation to Two-Stage Cross-Language Information Retrieval: Cross-language information retrieval (CLIR), where queries and documents are in different languages, needs a translation of queries and/or documents, so as to standardize both of them into a common representation. For this purpose, the use of machine translation is an effective approach. However, computational cost is prohibitive in translating large-scale document collections. To resolve this problem, we propose a two-stage CLIR method. First, we translate a given query into the document language, and retrieve a limited number of foreign documents. Second, we machine translate only those documents into the user language, and re-rank them based on the translation result. We also show the effectiveness of our method by way of experiments using Japanese queries and English technical documents.<|reference_end|>
@article{fujii2000applying,
    title={Applying Machine Translation to Two-Stage Cross-Language Information
  Retrieval},
    author={Atsushi Fujii and Tetsuya Ishikawa},
    journal={Proceedings of the 4th Conference of the Association for Machine
  Translation in the Americas (AMTA-2000), pp.13-24, Oct. 2000},
    year={2000},
    archivePrefix={arXiv},
    eprint={cs/0011003},
    primaryClass={cs.CL}
}