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A Survey on Paraphrase Detection Techniques for Indian Regional Languages

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Shruti Srivastava, Sharvari Govilkar

Shruti Srivastava and Sharvari Govilkar. A Survey on Paraphrase Detection Techniques for Indian Regional Languages. International Journal of Computer Applications 163(9):42-47, April 2017. BibTeX

	author = {Shruti Srivastava and Sharvari Govilkar},
	title = {A Survey on Paraphrase Detection Techniques for Indian Regional Languages},
	journal = {International Journal of Computer Applications},
	issue_date = {April 2017},
	volume = {163},
	number = {9},
	month = {Apr},
	year = {2017},
	issn = {0975-8887},
	pages = {42-47},
	numpages = {6},
	url = {},
	doi = {10.5120/ijca2017913757},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Whenever the text contains multiple ways of saying “the same thing,” but the application requires the same treatment of those various alternatives, an automated paraphrase recognition mechanism would be useful. One reason why paraphrase recognition systems have been difficult to build is because paraphrases are hard to define. Although the strict interpretation of the term “paraphrase” is quite narrow because it requires exactly identical meaning, in linguistics literature paraphrases are most often characterized by an approximate equivalence of meaning across sentences or phrases. This paper presents a survey of paraphrase detection techniques for Indian regional languages.


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Paraphrase detection, Textual Similarity metrics, String similarity, Semantic relatedness, Statistical and semantic analysis, Bi-CNN-MI.