@inproceedings{8cf8b2f8487d4cb1a985186fb37b4fc1,
title = "Translating unknown queries with web corpora for cross-language information retrieval",
abstract = "It is crucial for cross-language information retrieval (CLIR) systems to deal with the translation of unknown queries1 due to that real queries might be short. The purpose of this paper is to investigate the feasibility of exploiting the Web as the corpus source to translate unknown queries for CLIR. We propose an online translation approach to determine effective translations for unknown query terms via mining of bilingual search-result pages obtained from Web search engines. This approach can alleviate the problem of the lack of large bilingual corpora, translate many unknown query terms, provide flexible query specifications, and extract semantically-close translations to benefit CLIR tasks- especially for cross-language Web search.",
author = "Cheng, {Pu Jen} and Teng, {Jei Wen} and Chen, {Ruei Cheng} and Wang, {Jenq Haur} and Lu, {Wen Hsiang} and Chien, {Lee Feng}",
year = "2004",
doi = "10.1145/1008992.1009020",
language = "English",
isbn = "1581138814",
series = "Proceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval",
publisher = "Association for Computing Machinery (ACM)",
pages = "146--153",
booktitle = "Proceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval",
address = "United States",
note = "Proceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval ; Conference date: 25-07-2004 Through 29-07-2004",
}