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A study of query translation using google machine translation system

Wu, D and He, D (2010) A study of query translation using google machine translation system. In: UNSPECIFIED.

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Query translation is an important step in cross-language information retrieval (CLIR), therefore the quality of the translations of queries can significantly affect CLIR's retrieval effectiveness. Recent advancement in commercial online machine translation (MT) systems, such as Google Translate, makes it possible for layman Web users to utilize the MT systems for perform cross-language search. To study the effectiveness of using MT for query translation, we conducted a set of CLIR experiments using Google Translate for translating queries. The experiments show that MT is an excellent tool for the query translation task, and with the help of relevance feedback, it can achieve significant improvement over the monolingual baseline. The MT based query translation not only works for long queries, but is also effective for the short Web queries. ©2010 IEEE.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Wu, D
He, Ddah44@pitt.eduDAH440000-0002-4645-8696
Date: 1 December 2010
Date Type: Publication
Journal or Publication Title: 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
Event Type: Conference
DOI or Unique Handle: 10.1109/cise.2010.5677008
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Library and Information Science
Refereed: Yes
ISBN: 9781424453924
Other ID: DOI: 10.1109/CISE.2010.5677008
Date Deposited: 28 Jun 2011 18:25
Last Modified: 06 Sep 2019 13:58


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