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政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/75480

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75480

Title:	Automatic term pair extraction from bilingual patent corpus
Authors:	Tseng, Y.-H.;Liu, Chaolin 劉昭麟
Contributors:	資訊科學系
Keywords:	Alignment methods;Efficient implementation;Expectation - maximizations;Machine translations;Mutual informations;Patent analysis;Patent corpus;Term extraction;Alignment;Computational linguistics;Speech processing;Patents and inventions
Date:	2009-9
Issue Date:	2015-06-01 17:28:59 (UTC+8)
Abstract:	This paper proposes two approaches to extract translation term pairs from Chinese-English bilingual corpus with more than 500,000 patents. One approach is precision-oriented, in which we compare six term alignment methods. Based on our experiments, we find that the EM (Expectation Maximization) method is the best. However, it is time-consuming and hard to extract many-to-many translations for the same concept. While the MI (mutual information) method performs worst, the term pairs extracted may be totally different from those by EM. This may inspire subsequent researches to study the possibility of hybrid term alignment methods. The other approach is recall-oriented, in which a simple idea was proposed. With an efficient implementation, 20% more term pairs were extracted based on an existing lingual lexicon which already has more than one million term pairs merged from several sources.
Relation:	Proceedings of the 21st Conference on Computational Linguistics and Speech Processing, ROCLING 2009,279-292
Data Type:	conference
Appears in Collections:	[資訊科學系] 會議論文

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