this study aims to examine the strategies utilized by eleven postgraduate students in an efl university context in their attempts to acquire the textual practices of their discipline. first- and second-year ma students, one ph.d. student as well as individuals who had completed their ma programs in tefl took part in interviews in order to elicit the strategies they used when they endeavored to ...

This extended abstract provides overview of the genre classification process in our submission for MIREX 2009. First, the scheme of extraction of features and use of them in the process of Musical Genre Classification is explained. In later part dataset and results obtained are described. Keywords—ISMIR, Genre, GMM, Timbre

Online feedback is frequently implemented during second/foreign language (SL/FL) writing tasks and assessments. This meta-analysis investigates the effectiveness of online in SL/FL writing. After careful screening application inclusion exclusion criteria, this study synthesizes results 17 primary studies reporting on students’ English quality after feedback. The involved 1568 students, indicate...

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 introduces a Genre Purity Assessment Tool (GPAT). GPAT calculates genre purity by using SIF n-graphs (statistically improbable graph strings) to identify genre characteristics in text. The study describes the tool and assesses it across five experiments that feature a variety of text types and text lengths. The results demonstrate that GPAT is at least as effective as a system that u...

Automatic musical genre classification is very useful for music indexing and retrieval. In this paper, an efficient and effective automatic musical genre classification approach is presented. A set of features is extracted and used to characterize music content. A multi-layer classifier based on support vector machines is applied to musical genre classification. Support vector machines are used...

This work addresses the problem of genre classification of text and speech transcripts, with the goal of handling genres not seen in training. Two frameworks employing different statistics on word/POS histograms with a PCA transform are examined: a single model for each genre and a factored representation of genre. The impact of the two frameworks on the classification of training-matched and n...