Article

Translation disambiguation in web-based translation extraction for English-Chinese CLIR

Authors:

Chengye Lu,

Yue Xu,

Shlomo GevaAuthors Info & Claims

SAC '07: Proceedings of the 2007 ACM symposium on Applied computing

Pages 819 - 823

https://doi.org/10.1145/1244002.1244184

Published: 11 March 2007 Publication History

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Abstract

Dictionary based translation is a traditional approach in use by cross-language information retrieval systems. However, significant performance degradation is often observed when queries contain words that do not appear in the dictionary. This is called the Out Of Vocabulary (OOV) problem. In recent years, web-based translation extraction was shown to be one of the more effective approaches to the solution of this problem. Previous work focussed on selecting the correct translation from a set of web extracted terms. The common methods for translation selection for web-based translation always rely on word frequency calculation but the results are not always satisfactory. In this paper we present our approach to the selection of terms in a more accurate manner. Our experiments show improvement in translation accuracy over other commonly used approaches.

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Cited By

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Asim MWasim MKhan MMahmood NMahmood W(2019)The Use of Ontology in Retrieval: A Study on Textual, Multilingual and Multimedia RetrievalIEEE Access10.1109/ACCESS.2019.2897849(1-1)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2897849
Ye ZHuang JHe BLin H(2012)Mining a multilingual association dictionary from Wikipedia for cross-language information retrievalJournal of the American Society for Information Science and Technology10.1002/asi.2269663:12(2474-2487)Online publication date: 13-Nov-2012
https://doi.org/10.1002/asi.22696
Chung JHsu FLu CLee HHo J(2011)Automatic English-Chinese name translation by using Web-Mining and phonetic similarity2011 IEEE International Conference on Information Reuse & Integration10.1109/IRI.2011.6009560(283-287)Online publication date: Aug-2011
https://doi.org/10.1109/IRI.2011.6009560
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Information & Contributors

Information

Published In

SAC '07: Proceedings of the 2007 ACM symposium on Applied computing

March 2007

1688 pages

ISBN:1595934804

DOI:10.1145/1244002

Conference Chairs:
Yookun Cho
Seoul National University, Seoul, Korea
,
Roger L. Wainwright
University of Tulsa, Tulsa, Oklahoma
,
Hisham M. Haddad
Kennesaw State University, Kennesaw, Georgia
,
Sung Y. Shin
South Dakota State University, Brookings, South Dakota
,
Program Chair:
Yong Wan Koo
The University of Suwon, Gyeongggi-do, Korea

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 March 2007

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SAC07: The 2007 ACM Symposium on Applied Computing

March 11 - 15, 2007

Seoul, Korea

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

View all

Asim MWasim MKhan MMahmood NMahmood W(2019)The Use of Ontology in Retrieval: A Study on Textual, Multilingual and Multimedia RetrievalIEEE Access10.1109/ACCESS.2019.2897849(1-1)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2897849
Ye ZHuang JHe BLin H(2012)Mining a multilingual association dictionary from Wikipedia for cross-language information retrievalJournal of the American Society for Information Science and Technology10.1002/asi.2269663:12(2474-2487)Online publication date: 13-Nov-2012
https://doi.org/10.1002/asi.22696
Chung JHsu FLu CLee HHo J(2011)Automatic English-Chinese name translation by using Web-Mining and phonetic similarity2011 IEEE International Conference on Information Reuse & Integration10.1109/IRI.2011.6009560(283-287)Online publication date: Aug-2011
https://doi.org/10.1109/IRI.2011.6009560
Nasharuddin NAbdullah MKadir RAzman A(2010)A review on the cross-lingual information retrieval2010 International Conference on Information Retrieval & Knowledge Management (CAMP)10.1109/INFRKM.2010.5466886(353-357)Online publication date: Mar-2010
https://doi.org/10.1109/INFRKM.2010.5466886
Li ZXu YGeva S(2010)A Hybrid Chinese Information Retrieval ModelActive Media Technology10.1007/978-3-642-15470-6_28(267-276)Online publication date: 2010
https://doi.org/10.1007/978-3-642-15470-6_28
Zhou DTruran MBrailsford TAshman H(2008)A Hybrid Technique for English-Chinese Cross Language Information RetrievalACM Transactions on Asian Language Information Processing (TALIP)10.1145/1362782.13627847:2(1-35)Online publication date: 1-Apr-2008
https://dl.acm.org/doi/10.1145/1362782.1362784

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Chinese OOV translation and post-translation query expansion in chinese--english cross-lingual information retrieval

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