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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The authors have no competing interests.

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