Authorship attribution is an interesting problem in Computational Linguistics. Traditional author recognition systems for electronic text rely on techniques which train the system to the specific vocabulary and writing style of the writer and apply stochastic methods to judge a given text at byte, letter or word levels. In this paper we have developed a software system to apply one existing and...

We study temporal aspects of authorship attribution a task which aims to distinguish automatically between texts written by different authors by measuring textual features. This task is important in a number of areas, including plagiarism detection in secondary education, which we study in this work. As the academic abilities of students evolve during their studies, so does their writing style....

We have developed a full discourse parser in the Penn Discourse Treebank (PDTB) style. Our trained parser first identifies all discourse and non-discourse relations, locates and labels their arguments, and then classifies their relation types. When appropriate, the attribution spans to these relations are also determined. We present a comprehensive evaluation from both component-wise and error-...

Objective: The main goal of this research was to study the rate of cognitive reconstructive effect on attribution style and girl students’ academic performance at high school in Khalkhal. Pre-test and post-test experimental designs with control group were used in this study. Thirty high school girl students were chosen randomly in 2 groups including 15 persons in experimental group and 15 perso...

Source code authorship attribution is a significant privacy threat to anonymous code contributors. However, it may also enable attribution of successful attacks from code left behind on an infected system, or aid in resolving copyright, copyleft, and plagiarism issues in the programming fields. In this work, we investigate machine learning methods to de-anonymize source code authors of C/C++ us...

Individuals have distinctive ways of speaking and writing, and there exists a long history of linguistic and stylistic investigation into authorship attribution. In recent years, practical applications for authorship attribution have grown in areas such as intelligence (linking intercepted messages to each other and to known terrorists), criminal law (identifying writers of ransom notes and har...

The purpose of this study was to explore the role that perceived childhood attachment, family functioning and attribution styles have in social anxiety of high school students. 430 Iranian students were selected by multistage cluster sampling from high schools of Isfahan city. Participants completed measures of childhood attachment to each parent (Hazen and Shaver, 1986), the family adaptabilit...

Traditional authorship attribution approaches have made attempts at capturing features that were designed heuristically – researchers guessed at which aspects of language would best separate one author from another and then performed experiments to see how valid their assumptions were. While this approach has met some success, it also proves to be unscalable – most test collections to date have...

BACKGROUND The way that people explain events may influence aspects of their development and health. A number of studies have reported that there is a positive relationship between pessimism and the risk of poor heath, infectious disease, and early mortality. OBJECTIVES This study was conducted to examine the effectiveness of an optimism skills group training (OSGT) on the attribution styles ...