• Computer Science
• Published in ArXiv 2013
• DOI:10.5121/ijnlc.2013.2604

Improving Performance Of English-Hindi Cross Language Information Retrieval Using Transliteration Of Query Terms

@article{Varshney2013ImprovingPO,
  title={Improving Performance Of English-Hindi Cross Language Information Retrieval Using Transliteration Of Query Terms},
  author={Saurabh Varshney and Jyoti Bajpai},
  journal={ArXiv},
  year={2013},
  volume={abs/1401.3510}
}

• Saurabh Varshney, Jyoti Bajpai

The main issue in Cross Language Information Retrieval (CLIR) is the poor performance of retrieval in terms of average precision when compared to monolingual retrieval performance. The main reasons behind poor performance of CLIR are mismatching of query terms, lexical ambiguity and un-translated query terms . The existing problems of CLIR are needed to be addressed in order to increase the performance of the CLIR system. In this paper, we are putting our effort to solve the given problem by… CONTINUE READING

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