Informatics Publishing Limited

Rajeev Puri ¹, R. P. S. Bedi ¹, Vishal Goyal ²

Affiliations
1 Punjab Technical University, Kapurthala Road, Jalandhar, IN
2 Dept of Comp. Sc, Punjabi University, Patiala, IN

Abstract

Plagiarism detection has always been a challenging task for researchers and developers across the world. A number of researchers have contributed to this task by suggesting methods to detect plagiarism in research publications, books and software. Subsequently some applications based on these methods are also available in open source as well as commercial marketplace. Majority of these applications are performing well with English language documents, but fail to give satisfactory results with documents written in regional languages. This paper deals with investigating the challenges in plagiarism detection in regional languages, with specific case study of documents written in Punjabi language.

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Rajeev Puri ¹, R. P. S. Bedi ¹, Vishal Goyal ²

Affiliations
1 Punjab Technical University, Kapurthala Road, Jalandhar, IN
2 Dept of Comp. Sc, Punjabi University, Patiala, IN

Abstract

Many information retrieval tasks deal with the classification of huge amount of data before giving final results. The data being processed in IR tasks may or may not be useful for the researchers. There has to be some method to identify such data (called stop words) and remove it from data set before beginning with the IR task. This gives dual benefits – Reducing the overall vector space, thereby leading to performance improvements in terms of execution speed and the relevance of results. The purpose of this paper is to find a suitable, automated method for identification of stop words in Punjabi Text.

Keywords

Punjabi Stop Words List, Statistical Modeling, Borda Count, Information Processing, Text Classification.

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