Скачать или смотреть Digital Classicist Seminar Berlin (2015/2016) - Seminar 9

Mike Kestemont (University of Antwerp)
Francesco Mambrini (German Archaeological Institute)
Marco Passarotti (Università Cattolica del Sacro Cuore, Milan)

Deep Learning and Computational Authorship Attribution for Ancient Greek Texts. The case of the Attic Orators.

Abstract

The debate on the authorship of the texts by the Ancient Greek authors is as old as the formation of Greek literary culture itself. Naturally, this debate has always known an important methodological dimension. Although the systematic study of the language and style of the Greek classics has played a pioneering role in philology, attribution research on Greek texts has so far remained relatively isolated from the development of current computational stylometry, apart from a limited number of early studies.
In this seminar we present the results of an ongoing collaboration in which we apply a broad range of state-of-the-art techniques from stylometry to the corpus of the Attic orators. In our exposition, we formalize authorship attribution as a text classification task in which an anonymous text has to be attributed to one of a series of candidate authors. In terms of textual features, we focus on token unigrams and character unigrams, which are easy to extract, but have nevertheless shown excellent performance in previous research. An important novelty is that we compare a number of established classification approaches in stylometry (e.g. Principal Components Analysis, Burrows's Delta, Support Vector Machines) to a set of novel neural network approaches from Representation Learning.

For further information: http://hdl.handle.net/11858/00-1780-0...