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Looking inside the box: context-sensitive translation for cross-language information retrieval

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SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval

Pages 1105 - 1106

https://doi.org/10.1145/2348283.2348491

Published: 12 August 2012 Publication History

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Abstract

Cross-language information retrieval (CLIR) today is dominated by techniques that use token-to-token mappings from bilingual dictionaries. Yet, state-of-the-art statistical translation models (e.g., using Synchronous Context-Free Grammars) are far richer, capturing multi-term phrases, term dependencies, and contextual constraints on translation choice. We present a novel CLIR framework that is able to reach inside the translation "black box" and exploit these sources of evidence. Experiments on the TREC-5/6 English-Chinese test collection show this approach to be promising.

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Cited By

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Zhao YWang YYang N(2020)Chinese Short Text Entity Linking Based On Semantic Similarity and Entity Correlation2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)10.1109/ICTAI50040.2020.00073(426-431)Online publication date: Nov-2020
https://doi.org/10.1109/ICTAI50040.2020.00073
Ma CSha YTan JGuo LPeng H(2019)Chinese Social Media Entity Linking Based on Effective Context with Topic Semantics2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)10.1109/COMPSAC.2019.00063(386-395)Online publication date: Jul-2019
https://doi.org/10.1109/COMPSAC.2019.00063
Bhattacharya PGoyal PSarkar S(2018)Using Communities of Words Derived from Multilingual Word Vectors for Cross-Language Information Retrieval in Indian LanguagesACM Transactions on Asian and Low-Resource Language Information Processing10.1145/320835818:1(1-27)Online publication date: 17-Dec-2018
https://dl.acm.org/doi/10.1145/3208358
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Index Terms

Looking inside the box: context-sensitive translation for cross-language information retrieval
1. Information systems
  1. Information retrieval

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Published In

SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval

August 2012

1236 pages

ISBN:9781450314725

DOI:10.1145/2348283

General Chair:
William Hersh
Oregon Health & Science University, USA
,
Program Chairs:
Jamie Callan
Carnegie Mellon University, USA
,
Yoelle Maarek
Yahoo! Research, Israel
,
Mark Sanderson
Royal Melbourne Institute of Technology, Australia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 August 2012

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SIGIR '12: The 35th International ACM SIGIR conference on research and development in Information Retrieval

August 12 - 16, 2012

Oregon, Portland, USA

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

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Zhao YWang YYang N(2020)Chinese Short Text Entity Linking Based On Semantic Similarity and Entity Correlation2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)10.1109/ICTAI50040.2020.00073(426-431)Online publication date: Nov-2020
https://doi.org/10.1109/ICTAI50040.2020.00073
Ma CSha YTan JGuo LPeng H(2019)Chinese Social Media Entity Linking Based on Effective Context with Topic Semantics2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)10.1109/COMPSAC.2019.00063(386-395)Online publication date: Jul-2019
https://doi.org/10.1109/COMPSAC.2019.00063
Bhattacharya PGoyal PSarkar S(2018)Using Communities of Words Derived from Multilingual Word Vectors for Cross-Language Information Retrieval in Indian LanguagesACM Transactions on Asian and Low-Resource Language Information Processing10.1145/320835818:1(1-27)Online publication date: 17-Dec-2018
https://dl.acm.org/doi/10.1145/3208358
Saleh SPecina P(2016)Reranking Hypotheses of Machine-Translated Queries for Cross-Lingual Information RetrievalExperimental IR Meets Multilinguality, Multimodality, and Interaction10.1007/978-3-319-44564-9_5(54-66)Online publication date: 23-Aug-2016
https://doi.org/10.1007/978-3-319-44564-9_5
Schamoni SRiezler SBaeza-Yates RLalmas MMoffat ARibeiro-Neto B(2015)Combining Orthogonal Information in Large-Scale Cross-Language Information RetrievalProceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/2766462.2767805(943-946)Online publication date: 9-Aug-2015
https://dl.acm.org/doi/10.1145/2766462.2767805
Hosseinzadeh Vahid AArora PLiu QJones GGangemi ALeonardi SPanconesi A(2015)A Comparative Study of Online Translation Services for Cross Language Information RetrievalProceedings of the 24th International Conference on World Wide Web10.1145/2740908.2743008(859-864)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2740908.2743008
Ture FLin J(2014)Exploiting Representations from Statistical Machine Translation for Cross-Language Information RetrievalACM Transactions on Information Systems10.1145/264480732:4(1-32)Online publication date: 28-Oct-2014
https://dl.acm.org/doi/10.1145/2644807
Sokolov AHieber FRiezler SGeva STrotman ABruza PClarke CJärvelin K(2014)Learning to translate queries for CLIRProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval10.1145/2600428.2609539(1179-1182)Online publication date: 3-Jul-2014
https://dl.acm.org/doi/10.1145/2600428.2609539
Ture FLin JJones GSheridan PKelly Dde Rijke MSakai T(2013)Flat vs. hierarchical phrase-based translation models for cross-language information retrievalProceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval10.1145/2484028.2484137(813-816)Online publication date: 28-Jul-2013
https://dl.acm.org/doi/10.1145/2484028.2484137
Magdy WJones G(2013)Studying machine translation technologies for large-data CLIR tasks: a patent prior-art search case studyInformation Retrieval10.1007/s10791-013-9231-617:5-6(492-519)Online publication date: 21-Nov-2013
https://doi.org/10.1007/s10791-013-9231-6

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Post-Ordering by Parsing with ITG for Japanese-English Statistical Machine Translation

Word Sense Based Hindi-Tamil Statistical Machine Translation

Japanese/English machine translation using sublanguage patterns and reversible grammars

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