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The present field of authorship attribution began with discipline known as stylometry. Stylometry is the study of quantifiable of human language, or the statistical analysis of literary style (Holmes, 1995). This involves attempting to formally capture the creative, unconscious elements of language particular to individual writers and speakers. Although researchers have studied writing for centuries, the discipline of stylometry is fairly recent, and while its origins date back to the late 19 th century, the field as it is now began with work on Federalist Papers in 1968 (Mosteller and Wallace, 1968). Even though the study of stylometry began before the advent of modern computing; this discipline has easily been applied to computers. The principle of stylometry is formalization of writing style into quantifiable features and subsequent comparison of those features. As such, it includes vast calculations perfectly suited to a computer rather than a human.

Application of Tamil Syntax based on Authorship Attribution Using Neural Network and Classification Methods