Arud, the Metrical System of Arabic Poetry, as a Feature Set for Authorship Attribution
Ahmed Omer, Michael Oakes · 2017
Arud is the metrical system used in classical Arabic poetry. This paper introduces a method based on an encoding of Arud for the automatic discrimination of authors. This measure was used for both Arabic and English texts in the domain of travel. Perfect classification, using hierarchical cluster analysis (Ward's method) and Burrows' Delta measure of inter-text distances, was obtained when using either the Arud-based encoding or the more common 100 most frequent words as the linguistic feature to represent the texts, and the text samples were of 1000 words in length. For shorter texts of 500 words, the Arudbased measure outperformed the baseline of the 100 most frequent words, as measured by the Rand Index. Both sets of features produced better clustering for the Arabic data set than the English data set for the shorter texts.