In this contribution, we present a computational stylistic study of the French classic literature texts based on a data-driven approach where discovering interesting linguistic patterns is done without any prior knowledge. We propose an objective interestingness measure to extract meaningful stylistic syntactic patterns from a given author’s work. Our hypothesis is based on the fact that the mo...

This paper presents a computational model of stylistic similarity between human motions that is statistically derived from a comprehensive collection of captured, stylistically similar motion pairs. In this model, a set of hypersurfaces learned by single-class SVM and kernel PCA characterize the region occupied by stylistically similar motion pairs in the space of all possible pairs. The propos...

The goal of this paper is to compare a set of distance/similarity measures, regarding theirs ability to reflect stylistic similarity between authors and texts. To assess the ability of these distance/similarity functions to capture stylistic similarity between texts, we tested them in one of the most frequently employed multivariate statistical analysis settings: cluster analysis. The experimen...

Performance deficiencies and inconsistencies among SLA or FL learners can be attributed to variety of sources including both systemic (i.e., language issues) and individual variables.  Contrary to a rich background, the literature still suffers from a gap as far as delving into the issue from language proficiency and learning style is concerned. To fill the gap, this study addressed EFL learner...

Linguistic style conveys the social context in which communication occurs and defines particular ways of using language to engage with the audiences to which the text is accessible. In this work, we are interested in the task of stylistic transfer in natural language generation (NLG) systems, which could have applications in the dissemination of knowledge across styles, automatic summarization ...

In this paper, we present a novel method for editing stylistic human motions. We represent styles as differences between stylistic motions and introduced neutral motions, including timing differences and spatial differences. Timing differences are defined as time alignment curves, while spatial differences are found by a machine learning technique: Independent Feature Subspaces Analysis, which ...

Program authorship attribution—identifying a programmer based on stylistic characteristics of code—has practical implications for detecting software theft, digital forensics, and malware analysis. Authorship attribution is challenging in these domains where usually only binary code is available; existing source code-based approaches to attribution have left unclear whether and to what extent pr...

This article describes an intelligent computerassisted language instruction system that is designed to teach principles of syntactic style to students of English. Unlike conventional style checkers, the system performs a complete syntactic analysis of its input, and takes the student's stylistic intent into account when providing a diagnosis. Named STASEL for Stylistic Treatment At the Sentence...

A rather well-known aspect of French Stylistic Inversion is the impossibility of having a nominal object either precede or follow the inverted subject. A similar phenomenon is found in cases of French Stylistic Inversion with causative and perception verbs. The nominal subject of the infinitival complement can never appear with the inverted subject of the causative or perception verb. Both phen...