Authorship attribution supported by statistical or computational methods has a long history
starting from the 19th century and is marked by the seminal study of Mosteller and Wallace …

Plagiarism can be of many different natures, ranging from copying texts to adopting ideas,
without giving credit to its originator. This paper presents a new taxonomy of plagiarism that …

Authorship identification is a task of identifying authors of anonymous texts given examples
of the writing of authors. The increasingly large volumes of anonymous texts on the Internet …

Previous theoretical and empirical research on register variation has argued that linguistic
co-occurrence patterns have a highly systematic relationship to register differences …

The aim of this paper is to explore text topic influence in authorship attribution. Specifically,
we test the widely accepted belief that stylometric variables commonly used in authorship …

The first in-depth and systematic study of the effects of author set size, data size, and the
amount of topic variation, this account examines authorship attribution: the task that aims to …

English language is in the spotlight of the Natural Language Processing (NLP) community
with other languages, like Greek, lagging behind in terms of offered methods, tools and …

In this work we present a strategy for author identification for documents written in
Portuguese. It takes into account a writer-independent model which reduces the pattern …

Determining the true author of anonymized texts has important applications ranging from text
classification and information extraction to forensic investigations. Despite substantial …

In this work we discuss author identification for documents written in Portuguese. Two
different approaches were compared. The first is the writer-independent model which …