Several authorship analysis tasks require the decomposition of a multiauthored text into its
authorial components. In this regard two basic prerequisites need to be addressed:(1) style …

The vast majority of previous studies in authorship attribution assume the existence of
documents (or parts of documents) labeled by authorship to be used as training instances in …

In the realm of text analysis, intrinsic plagiarism detection plays a crucial role by aiming to
identify instances of plagiarized content within a document and determining whether parts of …

This paper suggests a new methodology for patterning writing style evolution using dynamic
similarity. We divide a text into sequential, disjoint portions (chunks) of the same size and …

The task of intrinsic plagiarism detection is to find plagiarized sections within text documents
without using a reference corpus. In this paper, the intrinsic detection approach Plag-Inn is …

Plagiarism is growing increasingly for the last few years due to the rapid proliferation of
information through the World Wide Web (WWW). In this paper, we present an integrated …

The ever increasing volume of information due to the widespread use of computers and the
web has made effective plagiarism detection methods a necessity. Plagiarism can be found …

Unauthorized copying or stealing of intellectual propierties of others is a serious problem in
modern society. In case of textual plagiarism, it becomes more and more easier to find …

Intrinsic plagiarism detection deals with the task of finding plagiarized sections in text
documents without using a reference corpus. This paper describes a novel approach in this …

The identification of stylistic inconsistency is a challenging task relevant to a number of
genres, including literature. In this work, we carry out stylistic segmentation of a well-known …