NDLI: Semiautomatic acquisition of translation templates from monolingual unannotated corpora

Content Provider	IEEE Xplore Digital Library
Author	Hu, R. Chengqing Zong Bo Xu
Copyright Year	2003
Description	Author affiliation: Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China (Hu, R.; Chengqing Zong; Bo Xu)
Abstract	We propose a new approach which can semiautomatically acquire translation templates from the unannotated Chinese spoken language corpora in the domain of travel information accessing. In the approach, we introduce two elements into the unsupervised agglomerative clustering method, which are called extended contexts and cohesion degree. With these two elements, the similarity and the degree of cohesion of two entities in the corpora may be described more exactly. In our approach the semantic and phrasal structures are firstly acquired from the unannotated corpus, and then the translation templates are manually built based on the semantic and phrasal structures. The preliminary results of our experiment show that the approach can get a higher performance than the method merely using the local contexts and mutual information.
Sponsorship	Chinese Assoc. for Artificial Intelligence, China Chinese Inst. of Electron., China Chinese Inf. Processing Soc., China Beijing Network and Multimedia Lab., China IEEE Signal Processing Soc. IEEE Syst., Man and Cybernetics Soc. IEEE Beijing Section
Starting Page	163
Ending Page	167
File Size	317911
Page Count	5
File Format	PDF
ISBN	0780379020
DOI	10.1109/NLPKE.2003.1275888
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automation Costs Surface-mount technology Clustering methods Laboratories Natural languages Encoding Large-scale systems Pattern recognition Mutual information
Content Type	Text
Resource Type	Article

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