Chinese terminology extraction using bilingual web resources

Yuhang Yang; Luning Ji; Qin Lu; Tiejun Zhao

doi:10.1109/NLPKE.2007.4368054

Chinese terminology extraction using bilingual web resources

Yuhang Yang, Luning Ji, Qin Lu, Tiejun Zhao

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

Automatic terminology extraction requires termhood verification for extracted terms in a specific domain. Chinese terminology extraction suffers from insufficient domain corpora for verification even though there is abundance of information in other languages. This paper presents a novel approach to overcome this problem by using word translations and bilingual web resources to improve both coverage and precision. The proposed approach incorporates bilingual information from within candidate terms themselves and from existing domain knowledge to conduct termhood calculation. In contrast to previous researches, this method is not confined to only pre-determined corpora. Preliminary experiments show a 14.8% improvement in coverage and 26.3% improvement in precision, respectively.

Original language	English
Title of host publication	IEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering
Pages	347-354
Number of pages	8
DOIs	https://doi.org/10.1109/NLPKE.2007.4368054
Publication status	Published - 1 Dec 2007
Event	International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007 - Beijing, China Duration: 30 Aug 2007 → 1 Sep 2007

Conference

Conference	International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007
Country/Territory	China
City	Beijing
Period	30/08/07 → 1/09/07

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Information Systems and Management

More information

10.1109/NLPKE.2007.4368054

Cite this

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title = "Chinese terminology extraction using bilingual web resources",

abstract = "Automatic terminology extraction requires termhood verification for extracted terms in a specific domain. Chinese terminology extraction suffers from insufficient domain corpora for verification even though there is abundance of information in other languages. This paper presents a novel approach to overcome this problem by using word translations and bilingual web resources to improve both coverage and precision. The proposed approach incorporates bilingual information from within candidate terms themselves and from existing domain knowledge to conduct termhood calculation. In contrast to previous researches, this method is not confined to only pre-determined corpora. Preliminary experiments show a 14.8% improvement in coverage and 26.3% improvement in precision, respectively.",

author = "Yuhang Yang and Luning Ji and Qin Lu and Tiejun Zhao",

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pages = "347--354",

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Yang, Y, Ji, L, Lu, Q & Zhao, T 2007, Chinese terminology extraction using bilingual web resources. in IEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering., 4368054, pp. 347-354, International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007, Beijing, China, 30/08/07. https://doi.org/10.1109/NLPKE.2007.4368054

Chinese terminology extraction using bilingual web resources. / Yang, Yuhang; Ji, Luning; Lu, Qin; Zhao, Tiejun.

IEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering. 2007. p. 347-354 4368054.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Lu, Qin

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N2 - Automatic terminology extraction requires termhood verification for extracted terms in a specific domain. Chinese terminology extraction suffers from insufficient domain corpora for verification even though there is abundance of information in other languages. This paper presents a novel approach to overcome this problem by using word translations and bilingual web resources to improve both coverage and precision. The proposed approach incorporates bilingual information from within candidate terms themselves and from existing domain knowledge to conduct termhood calculation. In contrast to previous researches, this method is not confined to only pre-determined corpora. Preliminary experiments show a 14.8% improvement in coverage and 26.3% improvement in precision, respectively.

AB - Automatic terminology extraction requires termhood verification for extracted terms in a specific domain. Chinese terminology extraction suffers from insufficient domain corpora for verification even though there is abundance of information in other languages. This paper presents a novel approach to overcome this problem by using word translations and bilingual web resources to improve both coverage and precision. The proposed approach incorporates bilingual information from within candidate terms themselves and from existing domain knowledge to conduct termhood calculation. In contrast to previous researches, this method is not confined to only pre-determined corpora. Preliminary experiments show a 14.8% improvement in coverage and 26.3% improvement in precision, respectively.

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BT - IEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering

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Chinese terminology extraction using bilingual web resources

Abstract

Conference

ASJC Scopus subject areas

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