Article

Resolving query translation ambiguity using a decaying co-occurrence model and syntactic dependence relations

Authors:

Weijun ChenAuthors Info & Claims

SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 183 - 190

https://doi.org/10.1145/564376.564409

Published: 11 August 2002 Publication History

Abstract

Bilingual dictionaries have been commonly used for query translation in cross-language information retrieval (CLIR). However, we are faced with the problem of translation selection. Several recent studies suggested the utilization of term co-occurrences in this selection. This paper presents two extensions to improve them. First, we extend the basic co-occurrence model by adding a decaying factor that decreases the mutual information when the distance between the terms increases. Second, we incorporate a triple translation model, in which syntactic dependence relations (represented as triples) are integrated. Our evaluation on translation accuracy shows that translating triples as units is more precise than a word-by-word translation. Our CLIR experiments show that the addition of the decaying factor leads to substantial improvements of the basic co-occurrence model; and the triple translation model brings further improvements.

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Resolving query translation ambiguity using a decaying co-occurrence model and syntactic dependence relations

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Published In

cover image ACM Conferences

SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval

August 2002

478 pages

ISBN:1581135610

DOI:10.1145/564376

General Chair:
Kalervo Järvelin
University of Tampere, Finland
,
Program Chairs:
Micheline Beaulieu
University of Sheffield, UK
,
Ricardo Baeza-Yates
University of Chile, Chile
,
Sung Hyon Myaeng
Chungnam National University, Korea

Copyright © 2002 ACM.

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Published: 11 August 2002

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SIGIR02: 25th ACM/SIGIR International Conference on Research and Development in Information Retrieval

August 11 - 15, 2002

Tampere, Finland

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SIGIR '02 Paper Acceptance Rate 44 of 219 submissions, 20%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Kannengießer NLins SDehling TSunyaev A(2020)Trade-offs between Distributed Ledger Technology CharacteristicsACM Computing Surveys10.1145/337946353:2(1-37)Online publication date: 29-May-2020
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Lu YLuo LHuang DWang YChen L(2020)Knowledge Transfer in Vision RecognitionACM Computing Surveys10.1145/337934453:2(1-35)Online publication date: 17-Apr-2020
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Zhu QLoke STrujillo-Rasua RJiang FXiang Y(2019)Applications of Distributed Ledger Technologies to the Internet of ThingsACM Computing Surveys10.1145/335998252:6(1-34)Online publication date: 14-Nov-2019
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