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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 predecessors, who only investigated the attributive effectiveness of the very top of the list of the most frequent words, hundreds of possible combinations of word vectors were tested in this study, not solely starting with the most frequent word in each corpus. The results show that Delta works best for prose in English and German and less well for agglutinative languages such as Polish or Latin. [ABSTRACT FROM AUTHOR]

Degrees of linear orderedness of Latin hexameter samples, coded respectively as sequences of long vs. short and stressed vs. unstressed syllables, were compared using the ARIMA method. Formal stochastic process models describing the sequential (metrical and/or rhythmical) text structure were identified and subsequently interpreted in linguistic terms. The average percentage of the original variance explained by the models turned out to be much higher for the stress series than for the series based on quantity coding. Contrary to received opinion, the underlying basis of Latin rhythm was not quantity but dynamic stress placed on the strong parts of consecutive metrical feet. [ABSTRACT FROM AUTHOR]