Translation disambiguation in web-based translation extraction for English-Chinese CLIR
Lu, Chengye, Xu, Yue, & Geva, Shlomo (2007) Translation disambiguation in web-based translation extraction for English-Chinese CLIR. In 2007 ACM Symposium on Applied Computing, 11-15 March 2007, Seoul, Korea.
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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|Item Type:||Conference Paper|
|Keywords:||CLIR, OOV problem, cross, language information retrieval, query translation, translation disambiguation|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2007 Association for Computing Machinery (ACM)|
|Copyright Statement:||Copyright © 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all 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, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or email@example.com.|
|Deposited On:||10 Nov 2008|
|Last Modified:||29 Feb 2012 13:35|
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