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 …

Based on Burrows's measure of stylometric difference that uses frequencies of most frequent
words, Rolling Delta is a method for revealing stylometric signals of two (or more) authors in …

This study investigates the problem of appropriate choice of texts for the training set in
machine-learning classification techniques. Although intuition suggests picking the most …

Computer stylometry is the computer analysis of writing style. This enables inferences to be
made, especially about the sometimes disputed provenance of texts, but also about the …

Unzuverlässiges Erzählen wird in der Narratologie hochfrequent diskutiert–dennoch besteht
immer noch kein Konsens darüber, wie das Konzept definiert werden soll und welche …

This study attempts to examine the potential of selected corpus linguistics and computational
stylistics methods in the investigation of translation universals in translational literary Polish …

Résumé The digital age, by making large amounts of text available to us, prompts us to
develop new and additional reading strategies supported by the use of computers and …

In this article we investigate suffix combinations in second-and third-grade diminutive nouns
in Polish and Bulgarian. We show that the formation of double and multiple diminutives in …