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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 [3] | Dr. A. J. Agrawal [3]
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
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Student Project, Computer Science & Engineering, India, Volume 11 Issue 5, May 2022
Pages: 650 - 654Automatic Text Summarization and Audio Generation
Tanooja K | Tejasri K | Akhilesh T | Prasanna Kavya M
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Review Papers, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015
Pages: 981 - 984Using SVM and Stopword removal method in Microblogging Classroom
Vidya Dhuttargaon | Amit R. Sarkar