In this paper, we propose an implementable characterization of genre suitable for automatic genre identification of web pages. This characterization is implemented as an inferential model based on a modified version of Bayes’ theorem. Such a model can deal with genre hybridism and individualization, two important forces behind genre evolution. Results show that this approach is effective and is...

The present study aimed at investigating the impact of a genre-specific strategy-based instructional inter- vention on translation quality, dominant translation and writing activities in the persuasive essays of a group of EFL learners within the perspective of activity theory. The main purpose of the study was to see, taking translation as a sort of writing in its own right, whether the ...

The availability of semantically enriched data in repositories of larger content providers offers a means for new ways of multimedia presentation authoring. Existing (semi-)automatic content composition environments explore limited numbers of genres and concentrate on templatebased approaches for composing discourse structures for these genres. We analyze a number of genres based on identifiabl...

Drawing from genre theory in organizational communication (Yates & Orlikowski, 1992), this study examines the content and function of email signatures used by organizational members. Email signatures are appended at the end of email messages and contain information about the sender such as his or her title, postal address, and phone number. One hundred and ninety-three email signatures were col...

Do narratives shape how humans process other minds or do they presuppose an existing theory of mind? This study experimentally investigated this problem by assessing subject responses to systematic alterations in the genre, levels of intentionality, and linguistic complexity of narratives. It showed that the interaction of genre and intentionality level are crucial in determining how narratives...

We propose a framework for the automatic recognition of artistic genre in digital representations of paintings. As we aim to contribute to a better understanding of art by humans, we extensively mimic low-level and medium-level human perception by relying on perceptually inspired features. While Gabor Filter Energy has been applied in art description, Dominant Color Volume (DCV) and frameworks ...

Recently many research has been conducted to retrieve pertinent parameters and adequate models for automatic music genre classification. In this paper, two measures based upon information theory concepts are investigated for mapping the features space to decision space. A Gaussian Mixture Model (GMM) is used as a baseline and reference system. Various strategies are proposed for training and te...

Genre classification means to discriminate between documents by means of their form, their style, or their targeted audience. Put another way, genre classification is orthogonal to a classification based on the documents’ contents. While most of the existing investigations of an automated genre classification are based on news articles corpora, the idea here is applied to arbitrary Web pages. W...

The aim of this paper is to present the development of a rule-based automatic detector which determines the main idea or the most pertinent discourse unit in two different languages such as Basque and Brazilian Portuguese and in two distinct genres such as scientific abstracts and argumentative answers. The central unit (CU) may be of interest to understand texts regarding relational discourse ...