Research Article | OPEN ACCESS
A Study of Authorship Attribution in English and Tamil Emails
1A. Pandian and 2Mohamed Abdul Karim
1Department of MCA, SRM University, Chennai-603 203, India
2College of Applied Sciences, Sohar, Ministry of Higher Education, Oman
Research Journal of Applied Sciences, Engineering and Technology 2014 2:203-211
Received: March 14, 2014 | Accepted: April 22, 2014 | Published: July 10, 2014
Abstract
The aim of our study is to identify author of unknown emails of Tamil and English. The recent approaches in Authorship Attribution show that apart from lexical measures some other features of written language are considerably effective as discriminators of author style. However, there have been no attempts to compare the attribution potential of these features. The aim of the present study, then, has to examine the effectiveness of several styles-markers in authorship attribution between the following two languages, English and Tamil equally important, however, we have to compare the usefulness of the chosen style-markers across a two languages the results proved high attribution effectiveness can be achieved in both the language.
Keywords:
Echo state neural network, english emails, fishers linear discriminant method, lexical features, radial basis function, syntactic features, Tamil emails,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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