Learning Inter-Related Statistical Query Translation Models for English-Chinese Bi-Directional CLIR
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1915-1919.
Abstract
To support more precise query translation for English-Chinese Bi-Directional Cross-Language Information Retrieval (CLIR), we have developed a novel framework by integrating a semantic network to characterize the correlations between multiple inter-related text terms of interest and learn their inter-related statistical query translation models. First, a semantic network is automatically generated from large-scale English-Chinese bilingual parallel corpora to characterize the correlations between a large number of text terms of interest. Second, the semantic network is exploited to learn the statistical query translation models for such text terms of interest. Finally, these inter-related query translation models are used to translate the queries more precisely and achieve more effective CLIR. Our experiments on a large number of official public data have obtained very positive results.
@inproceedings{ijcai2011p320,
title = {Learning Inter-Related Statistical Query Translation Models for English-Chinese Bi-Directional CLIR},
author = {Zhang, Yuejie and Cen, Lei and Jin, Cheng and Xue, Xiangyang and Fan, Jianping},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1915--1919},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-320},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-320},
}
TY - CPAPER TI - Learning Inter-Related Statistical Query Translation Models for English-Chinese Bi-Directional CLIR AU - Zhang, Yuejie AU - Cen, Lei AU - Jin, Cheng AU - Xue, Xiangyang AU - Fan, Jianping T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1915 EP - 1919 DO - 10.5591/978-1-57735-516-8/IJCAI11-320 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-320 ER -Copied
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