The study presented in this paper explores the current state of genre evolution on the web through web users’ perception. More precisely, it explores the perception of genres when users are faced not only with prototypical genre exemplars but also with hybrid or individualized web pages, and interpret the subjects’ perception in term of genre evolution Although this exploration is partial (23 l...

The purpose of the present study was first to offer a tentative solution to the problems observed in writing pedagogy in Iran by devising a more comprehensive approach to genre-based writing instruction. In the second phase, a quasi-experimental research design was adopted to determine how effective the model was in writing instruction, compared with the traditional, product-oriented approach, ...

To produce an adequate translation, language students are required to learn varieties of language features including syntax, semantics and pragmatics. Considering the curriculum language learners are face with, one can claim that almost all language students in Iran are taught these features in their academic settings including linguistic courses. Yet, there are some aspects of language which a...

As the text databases available to users become larger and more heterogeneous, genre becomes increasingly important for computational linguistics as a complement to topical and structural principles of classification. We propose a theory of genres as bundles of facets, which correlate with various surface cues, and argue that genre detection based on surface cues is as successful as detection b...

This paper presents a method of genre classification using deep neural networks for the AcousticBrainz genre classification task of MediaEval 2017.

In this paper music genre classification has been explored with special emphasis on the decision time horizon and ranking of tappeddelay-line short-time features. Late information fusion as e.g. majority voting is compared with techniques of early information fusion1 such as dynamic PCA (DPCA). The most frequently suggested features in the literature were employed including melfrequency cepstra...

I analyze the genre preferences of UK film audiences, applying correspondence analysis to data produced for the BFI’s report Opening Our Eyes on the cultural contribution of film. Although there is a weak correlation between the interactively coded variable ‘gender-age’ and genre, I identify clear patterns of genre preferences that extend the original interpretation of this data showing how vie...