their helpful comments on earlier versions of the manuscript. 3 Changes in consumers' category width (the level of coarseness-fineness with which people categorize objects) alter their decision making processes, which in turn alter their categorizing and purchasing behavior. Participants manipulated to be broad categorizers base their decisions on fewer, highly salient dimensions. In contrast, ...

The increasing impact of audiovisual media and film industry in particular has led researchers to think of audiovisual translation strategies. Huge investments in film industry need global markets. Hence, there is a need for qualified translations and systematic studies dedicated to this area are in great demand. This study aims to investigate translation strategies adopted in the translation o...

This research was conducted with the aim of identifying the gender identity of women in the movies of war period. Four movies of ‘Bashu little stranger’, ‘Gilaneh’ and ‘from Karkhe to the Rhine’ were selected and the kinds of women's identity were identified by using discourse analysis in these movies. In these movies, although women tried to fulfill the expectations of society in the form of t...

In this paper, we propose a weakly supervised system, YouCat, for categorizing Youtube videos into different genres like Comedy, Horror, Romance, Sports and Technology The system takes a Youtube video url as input and gives it a belongingness score for each genre. The key aspects of this work can be summarized as: (1) Unlike other genre identification works, which are mostly supervised, this sy...

The Bag-of-Frames (BoF) approach has been widely used in music genre classification. In this approach, music genres are represented by statistical models of low-level features computed on short frames (e.g. in the tenth of ms) of audio signal. In the design of such models, a common procedure in BoF approaches is to represent each music genre by sets of instances (i.e. frame-based feature vector...

This paper presents a novel approach to the task of automatic music genre classification which is based on ensemble learning. Feature vectors are extracted from three 30-second music segments from the beginning, middle and end of each music piece. Individual classifiers are trained to account for each music segment. During classification, the output provided by each classifier is combined with ...

abstract genre-based approach has been the focus of interest in the teaching of language since the mid1980s. genre is defined in terms of the use of language in conventionalized communicative settings. the present study made an attempt to scrutinize the effects of genre-based pedagogy on iranian pre-intermediate efl leaners' reading comprehension as well as the interaction between their re...