Purpose – To introduce the special issue on “Genres of digital documents.” While there are many definitions of genre, most include consideration of the intended communicative purpose, form and sometimes expected content of a document. Most also include the notion of social acceptance, that a document is of a particular genre to the extent that it is recognized as such within a given discourse c...

This report describes classification methods that recognize the genres of music using both supervised and unsupervised learning techniques. The five genres, classical(C), EDM(E), hip-hop(H), jazz(J) and rock(R), were examined and classified. As a feature selection method, discrete Fourier transform (DFT) converted the raw wave signals of each song into the signal amplitude ordered by their freq...

We are introducing novelty detection, i.e. the automatic identification of new or unknown data not covered by the training data, to the field of music information retrieval. Two methods for novelty detection are evaluated within the context of genre classification based on spectral similarity. Both the method based solely on the similarity information and the one also utilizing genre label info...

This paper proposes a system that automatically locates and extracts songs from digitized movies and classifies the extracted songs according to their genre using a video-based genre identification algorithm. A song grammar particularly applicable to Bollywood movies has been proposed and used subsequently to construct a probabilistic timed automaton that differentiates songs from rest of the s...

Research on teaching writing in Arabic as a less commonly taught language is still in its infancy. Motivated by the dearth of research on the integration of the genre-based approach into teaching writing in Arabic and the absence of such an approach, this paper proposes a genre-based framework for teaching writing in Arabic. Building on conclusions drawn from recent research, it proposes four s...

This paper examines genre classification of documents and its role in enabling the effective automated management of digital documents by digital libraries and other repositories. We have previously presented genre classification as a valuable step toward achieving automated extraction of descriptive metadata for digital material. Here, we present results from experiments using human labellers,...

We approach the general problem of machineprinted document genre classification using contentfree layout structure analysis. Document genre is determined from the layout structure detected from scanned binary images of the document pages, using no OCR results and minimal a priori knowledge of document logical structures. Our approach uses attributed relational graphs (ARGs) to represent the lay...

Classification and abstraction of narrative content is a problem that spans several domains and disciplines ranging from Film Studies and Narratology to Adaptive Hypermedia and Computational Preference Modeling. Applications for automatic recognition and classification of narrative content range from commercial recommendation systems to interactive digital storytelling (IDS) systems. The notion...

This study reports on the findings of a genre teaching course for developing academic writing of a class of EFL students in Iran. The information report genre was taught in a cyclical way of teaching and learning, which was started from ‘setting the context’ and ‘deconstruction’ of prototype information report genre, and continued with ‘joint construction’, ‘independent construction’, and final...

This study has aimed to compare the effects of two types of form-focused instruction, i.e. de-contextualized focus-on-forms instruction versus meaning-centered contextualized focus-on-form instruction, on the development of grammatical knowledge of Iranian high-school students. Two groups of male high-school first graders participated in this study.  One group was taught through de-contextualiz...