While large data dependent techniques have made advances in between-genre classification, the identification of subtypes within a genre has largely been overlooked. In this paper, we approach automatic classification of within-genre Bundeli folk music into its subgenres; Gaari, Rai and Phag. Bundeli, which is a dominant dialect spoken in a large belt of Uttar Pradesh and Madhya Pradesh has a ri...

In this report we present the work done on the first subtask of the DEFT 2014 challenge which dealt with genre classification of French literary texts. In our approach we developed three types of features : lemmatized words, stylometric features and features that incorporate some form of world knowledge. Subsequent classification experiments were performed using the Balanced Winnow classifier. ...

We present a novel approach in categorizing artists into subjective categories such as genre. We base our method on co-occurrences on the web, found with the Google search engine. A direct mapping between artists and categories proved to be unreliable. We use the categories mapped to closely related artists to obtain a more reliable mapping. The method is tested on a genre classification test s...

Developed in the context of Genre Tagging Task at MediaEval 2012, this work consists in automatically assigning genre tags to a set of Internet videos. We approach this task from the classification point of view and focus on different learning strategies: video similarity for processing visual content and an ensemble of classifiers for text-processing. In this paper, we describe the proposed fr...

Classifying text genres across languages can bring the benefits of genre classification to the target language without the costs of manual annotation. This article introduces the first approach to this task, which exploits text features that can be considered stable genre predictors across languages. My experiments show this method to perform equally well or better than full text translation co...

In this paper, we investigate the problem of video classification into predefined genre. The approach adopted is based on spatial and temporal descriptors derived from short video sequences (20 seconds). By using support vector machines (SVMs), we propose an optimized multiclass classification method. Five popular TV broadcast genre namely cartoon, commercials, cricket, football and tennis are ...

An algorithm to efficiently determine an appropriate number of components for a Gaussian mixture model is presented. For determining the optimal model complexity we do not use a classical iterative procedure, but use the strong correlation between a simple clustering method (BSAS [13]) and an MDL-based method [6]. This approach is computationally efficient and prevents the model from representi...

This paper presents a wordlist-based lexical richness approach to testing distributional hypothesis for genre analysis in translation studies. In recent years, there has been continuing interest in patent translation. However, there are only a few lay their interests on comparison between native and non-native writing. The proposed approach to terms distrubution of technical words contained in ...

the efficacy of genre-based approach to teaching writing has been regarded as an influential practice in l2 writing pedagogy (hyland, 2007). however, there is still gap between actual structures found in reading materials recommended as textbooks and discourse patterns recommended for l2 writing in efl contexts, the gap which would highlight the problems of genre and rhetorical patterns for tea...