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Workshop of the Cross-Language Evaluation Forum for European Languages

CLEF 2007: Advances in Multilingual and Multimodal Information Retrieval pp 80–87Cite as

Cross-Lingual Information Retrieval System for Indian Languages

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5152))

Abstract

This paper describes our attempt to build a Cross-Lingual Information Retrieval (CLIR) system as a part of the Indian language sub-task of the main Adhoc monolingual and bilingual track in CLEF competition. In this track, the task required retrieval of relevant documents from an English corpus in response to a query expressed in different Indian languages including Hindi, Tamil, Telugu, Bengali and Marathi. Groups participating in this track were required to submit a English to English monolingual run and a Hindi to English bilingual run with optional runs in rest of the languages. Our submission consisted of a monolingual English run and a Hindi to English cross-lingual run.

We used a word alignment table that was learnt by a Statistical Machine Translation (SMT) system trained on aligned parallel sentences, to map a query in the source language into an equivalent query in the language of the document collection. The relevant documents are then retrieved using a Language Modeling based retrieval algorithm. On the CLEF 2007 data set, our official cross-lingual performance was 54.4% of the monolingual performance and in the post submission experiments we found that it can be significantly improved up to 76.3%.

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Authors and Affiliations

  1. Multilingual Systems Research, Microsoft Research India, Bangalore, India

    Jagadeesh Jagarlamudi & A. Kumaran

Authors
  1. Jagadeesh Jagarlamudi
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  2. A. Kumaran
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Editor information

Carol Peters Valentin Jijkoun Thomas Mandl Henning Müller Douglas W. Oard Anselmo Peñas Vivien Petras Diana Santos

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© 2008 Springer-Verlag Berlin Heidelberg

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Jagarlamudi, J., Kumaran, A. (2008). Cross-Lingual Information Retrieval System for Indian Languages. In: Peters, C., et al. Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85760-0_10

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  • DOI: https://doi.org/10.1007/978-3-540-85760-0_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85759-4

  • Online ISBN: 978-3-540-85760-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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