This software paper describes 'Stylometry with R'(stylo), a flexible R package for the
highlevel analysis of writing style in stylometry. Stylometry (computational stylistics) is …

This article builds on a mathematical explanation of one the most prominent stylometric
measures, Burrows's Delta (and its variants), to understand and explain its working. Starting …

The aim of this study is to find such a minimal size of text samples for authorship attribution
that would provide stable results independent of random noise. A few controlled tests for …

The aim of this article is to discuss reliability issues of a few visual techniques used in
stylometry, and to introduce a new method that enhances the explanatory power of …

With the recent progress made in network and computing technology, the ubiquity of data,
and textual repositories freely available, the scientific practice evolves towards a more data …

This article examines the success of authorship attribution of Burrows's Delta in several
corpora representing a variety of languages and genres. Contrary to the approaches of our …

Machine-learning stylometric distance methods based on most-frequent-word frequencies
are well-accepted and successful in authorship attribution. This study investigates the results …

The present study addresses one of the theoretical problems of computer-assisted
authorship attribution, namely the question which traceable features of language can betray …

The study investigates to what extent traditional stylistics and non-traditional stylometry can
co-operate in the study of translations in terms of translatorial style. Stylistic authorship …

In computational stylistics, any influence of unwanted noise—eg caused by an untidily
prepared corpus—might lead to biased or false results. Relying on contaminated data is …