An attempt is made to modelize the process of human translation, in order to illustrage the complexity of the process, and to better define successive quality levels: syntactic, idiomatic, and stylistic.

Internet performance faces the challenge of network latency. One proposed solution is music prediction, wherein musical events are predicted in advance and transmitted to distributed musicians ahead of the network delay. We present a context-aware music prediction system focusing on expressive timing: a Bayesian network that incorporates stylistic model selection and linear conditional gaussian...

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 enhance the great yet urgent necessity for authorship identification. It has been applied to more and more practical applications including literary works, intelligence, criminal law, civil law, and computer for...

Papers from the workshop held in conjunction with the 28th Annual International ACM Conference on Research and Development in Information Retrieval, August 13-19, 2005, Salvador, Bahia, Brazil

The past decade has witnessed an explosion of studies comparing speech rhythm across various language varieties, many using the Pairwise Variability Index (PVI, ‎[6]). This renewal of interest in the cross-linguistic typology of prosodic rhythm has been accompanied by cautions that common acoustic measures of rhythm are highly variable between speakers (‎[5]). This paper introduces evidence tha...

A popular interest in Shakespeare has been matched in recent years by an increasing number of computer-assisted analyses of the plays. Although not without their critics, corpus stylistic studies have offered scope and reliability in the study of literary texts, particularly through key word analyses. In this paper, I show how Wmatrix, a web-based corpus processing environment (Rayson, 2003, 20...

As a functional type of writing style, English for science and technology is developed on the basis of the General English. This paper is to analyze the stylistic features of English for science and technology— The Science of Mechanics in four aspects: graphlogical level, lexical level, and syntactical/grammatical level.

Introduction Early researchers in authorship attribution used a variety of statistical methods to identify stylistic discriminators – characteristics which remain approximately invariant within the works of a given author but which tend to vary from author to author (Holmes 1998, McEnery & Oakes 2000). In recent years machine learning methods have been applied to authorship attribution. A few e...

In this paper we are going to present a method capable of visualizing and automatically determining similarity between stylistic genres in Swedish and English text documents. The method has also been implemented and tested with good results. It is based on linguistic methods and uses only the raw word content of documents, meaning that it requires no metatags or other features set by the author...

Capturing a style of a particular piece or a composer is not an easy task. Several attempts to use machine learning methods to create models of style have appeared in the literature. These models do not provide an intentional description of some musical theory but rather use statistical techniques to capture regularities that are typical of certain music experience. A standard procedure in this...