International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 106

Research Paper | Computer Science & Engineering | India | Volume 5 Issue 5, May 2016


Improving Performance of Hindi-English based Cross Language Information Retrieval using Selective Documents Technique and Query Expansion

Aditi Agrawal, Dr. A. J. Agrawal


Abstract: This paper introduces a system for cross language information retrieval where selective term technique and query expansion will be combined to improve the retrieval of more relevant documents. The document and query processing is done using the techniques of tf-idf and cosine similarity for retrieval. Threshold value is decided to retrieve the documents relevant to query. Later a pseudo Relevance technique will be applied to further expand the query and improve relevance in future.


Keywords: Cross Language Information Retrieval, Hindi-English Dictionary, cosine similarity, tf-idf


Edition: Volume 5 Issue 5, May 2016,


Pages: 1964 - 1967


How to Cite this Article?

Aditi Agrawal, Dr. A. J. Agrawal, "Improving Performance of Hindi-English based Cross Language Information Retrieval using Selective Documents Technique and Query Expansion", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=NOV163826, Volume 5 Issue 5, May 2016, 1964 - 1967

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