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Bengali and Hindi to English CLIR Evaluation
BibTeX
@MISC{M_bengaliand,
author = {Debasis M and Mayank Gupta and Ipan D and Pratyush Banerjee and Sudeshna Sarkar},
title = {Bengali and Hindi to English CLIR Evaluation},
year = {}
}
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Abstract
Abstract. This paper presents a cross-language retrieval system for the retrieval of English documents in response to queries in Bengali and Hindi, as part of our participation in CLEF 1 2007 Ad-hoc bilingual track. We followed the dictionary-based Machine Translation approach to generate the equivalent English query out of Indian language topics. Our main challenge was to work with a limited coverage dictionary (of coverage ∼ 20%) that was available for Hindi-English, and virtually non-existent dictionary for Bengali-English. So we depended mostly on a phonetic transliteration system to overcome this. The CLEF results point to the need for a rich bilingual lexicon, a translation disambiguator, Named Entity Recognizer and a better transliterator for CLIR involving Indian languages. The best MAP values for Bengali and Hindi CLIR for our experiment were 7.26 % and 4.77%, which are 20 % and 13 % of our best monolingual retrieval, respectively. 1
Keyphrases
clir evaluation phonetic transliteration system indian language topic main challenge clef result point rich bilingual lexicon named entity recognizer monolingual retrieval non-existent dictionary english document equivalent english query map value ad-hoc bilingual track dictionary-based machine translation approach hindi clir cross-language retrieval system translation disambiguator indian language limited coverage
