This  case  study  analyzes  how  a  Taiwanese  EFL  teacher  participating  in  a  U.S.  based MATESOL program made sense of systemic functional linguistics (SFL) and genre based pedagogy  in  designing  and  reflecting  on  literacy  instruction  for  EFL  learners  in  Taiwan. Using  longitudinal  ethnographic  methods,  the  findings  indicate  that  this  teacher’s conceptualization  of  g...

Motivated by the need to explore the introductory sections of textbooks, the present study attempted to scrutinize three realizations of academic introductions, namely, Preface, Introduction, and Foreword in terms of their functions and potential generic structures in light of Swales’s (1990) views of genre. Moreover, the study aimed to investigate genre-mixing as an interdiscursivity element a...

Video genre classification is a challenging task in a global context of fast growing video collections available on the Internet. This paper presents a new method for video genre identification by audio analysis. Our approach relies on the combination of low and high level audio features. We investigate the discriminative capacity of features related to acoustic instability, speaker interactivi...

This short review, along with the other reviews in this issue of Hermes, sets out to give a brief description of Vijay K. Bhatia’s work of 1993 Analysing Genre: Language Use in Professional Settings. Since four general reviews inevitably would overlap massively, they each focus on one particular aspect of Bhatia (1993). I shall, nevertheless, present a very brief review of the book in general. ...

Genre detection of web documents fits an open-set classification task. The web documents not belonging to any predefined genre or where multiple genres co-exist is considered as noise. In this work we study the impact of noise on automated genre identification within an open-set classification framework. We examine alternative classification models and document representation schemes based on t...

The recent progress of Electronic Music Distribution creates a natural pressure for fine-grained musical metadata. This metadata is needed to provide music distribution services which are able to cope with the mere size of music catalogues, and the desire of users to access music titles by similarity. In this context, we describe a project of a global music title metadatabase, and focus in the ...

Automatic genre classification aims to correctly categorize an unknown recording with a music genre. Recent studies use the Kullback-Leibler (KL) divergence to estimate music similarity then perform classification using k-nearest neighbours (k-NN). However, this approach is not practical for large databases. We propose an efficient genre classifier that addresses the scalability problem. It use...

Text classification, whether by topic or genre, is an important task that contributes to text extraction, retrieval, summarization and question answering. In this paper we present a new pairwise ensemble approach, which uses pairwise Support Vector Machine (SVM) classifiers as base classifiers and “input-dependent latent variable” method for model combination. This new approach better captures ...

In this paper we present results of our initial research on genre tagging. We approach the task from information retrieval perspective using a relatively small number of labeled videos in the development set to mine query expansion terms characteristic of each genre. We also investigate which sources of information associated with the videos or extracted from their audio channel, e.g. title, de...