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Combining IR Models for Bengali Information Retrieval

Author

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  • Soma Chatterjee

    (Jadavpur University, Kolkata, India)

  • Kamal Sarkar

    (Computer Science and Engineering, Jadavpur University, Kolkata, India)

Abstract

Word mismatch between queries and documents is a fundamental problem in information retrieval domain. In this article, the authors present an effective approach to Bengali information retrieval that combines two IR models to tackle the word mismatch problem in Bengali IR. The proposed hybrid model combines the traditional word-based IR model with another IR model that uses semantic text similarity measure based on vector embeddings of words. Experimental results show that the performance of our proposed hybrid Bengali IR model significantly improves over the baseline IR model.

Suggested Citation

  • Soma Chatterjee & Kamal Sarkar, 2018. "Combining IR Models for Bengali Information Retrieval," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 8(3), pages 68-83, July.
    • Handle: RePEc:igg:jirr00:v:8:y:2018:i:3:p:68-83
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