@inproceedings{myaeng-jang-1999-complementing,
    title = "Complementing dictionary-based query translations with corpus statistics for cross-language {IR}",
    author = "Myaeng, Sung Hyon  and
      Jang, Mung-Gil",
    booktitle = "Proceedings of Machine Translation Summit VII",
    month = sep # " 13-17",
    year = "1999",
    address = "Singapore, Singapore",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/1999.mtsummit-1.25/",
    pages = "165--174",
    abstract = "For cross-language information retrieval (CLIR), often queries or documents are translated into the other language to create a mono-lingual information retrieval situation. Having surveyed recent research results on translation-based CLIR, we have convinced ourselves that an effective query translation method is an essential element for a practical CLIR system with a reasonable quality. After summarizing the arguments and methods for query translation and survey results for dictionary-based translation methods, this paper describes a relatively simple yet effective method of using mutual information to handle the ambiguity problem known to be the major factor for low performance compared to mono-lingual situation. Our experimental results based on the TREC-6 collection shows that this method can achieve up to 85{\%} of the monolingual retrieval case and 96{\%} of the manual disambiguation case."
}