We hypothesized that the attributes of a document’s genre determine a document’s ability to be identified uniquely. Consequently, recognizing the genre will facilitate effective user-document interaction. In this pilot study, we exposed fifteen participants to a set of paper and digital documents, each converted into two surrogates: one based on form, in which the text was masked leaving only t...

this paper reported on a genre-driven comparative study, which aimed to identify the generic moves in the conclusion sections of twenty research articles in the field of sociology written in the two codes of persian and english. to meet this purpose, the researchers employed moritz, meurer, and dellagnelo's model, which was set within the swalesian framework of genre analysis. the analysis...

l2 research has shown that instruction in l2 pragmatics is necessary. the current study evaluated the impact of explicit instruction on efl learner's awareness and production of three speech acts of request, apology, and complaint. it also probed whether learners’ language proficiency plays any role in incorporating pragmatic instruction into the l2 classroom. iranian undergraduate student...

abstractthe present study explores the impact of corpus-based collocation instruction on intermediate iranian efl learners' writing ability. for this study, 84 iranian learners, studying english as a foreign language in bayan institute, iran, were selected and were randomly divided into two groups, experimental and control. conventional methods of writing instruction were taught to the control ...

Hedges, as tools to express tentativeness and doubt, have been studied in plenty of research papers in the Iranian EFL research setting. However, their use in a learner corpus, portraying Iranian learner English, is in need of more research attention. With this end in view, this study aimed at investigating how Iranian EFL learners who have majored in English-related fields in Iran deployed hed...

As the demand for multimedia grows, the development of information retrieval systems including information about music is of increasing concern. Radio stations and music TV channels hold archives of millions of music tapes. Gigabytes of music files are also spread over the web. To automate searching and organizing the music files based on their genre is a challenging task. In this report, we pr...

Audio-based music similarity measures can be used to automatically generate playlists or recommendations. In this paper the similarity measure that won the ISMIR’04 genre classification contest is reviewed. In addition, further improvements are presented. In particular, two new descriptors are presented and combined with two previously published similarity measures. The performance is evaluated...