After detailed research done on the existing literature, present article aims at conceptualizing genre video abstract by focusing its defining characteristics and benefits it may bring to both researchers also non-academic community. This newly emerging type of scientific summary presents some technical, material social which will be developed in this paper. As multimodal artifacts, abstracts p...

Under the influence of a new medium, a genre may evolve into variants of the original genre or even into new genre. Genre, even through such evolution, are normally characterized by the tuple, , and little attention is paid to the functionality afforded by the new medium. The combination of the computer and the Internet, however, has resulted in the emergence of cybergenre, a new...

In the ESP tradition, genre is often defined as “structured communicative events engaged in by specific discourse communities whose members share broad communicative purposes.” ESP genre research has generated numerous descriptions and explanations of discipline-specific genre exemplars and has produced various pedagogical proposals. However, what learners learn from these genre descriptions an...

research article (ra) genre has been a significant area of research in academic writing over past decades. however, authors’ identity in ras has not received much attention, especially in soft sciences like applied linguistics. this paper reports a corpus analysis of iranian writers’ authorial presence markers in ras in the field of applied linguistics. the corpus comprised 30 ras (200,000 word...

Abstract Complex noun phrases (NP) are central to mature academic writing and often a focus of explicit teaching. The National Curriculum in England, for example, requires specific components NP complexity be taught at educational stages. However, the evidence base such practices is unclear. Research on emergence both limited dated. Moreover, some work has suggested that development late-occurr...

We investigate the uses and limitations of MFCC analysis for feature extraction from music files in the domain of genre recognition. Intra-genre and Inter-genre classification is explored. We implement a method of genre classification based on MFCC extraction, K-means clustering, and KNN analysis. We demonstrate the efficacy of our method through testing, yielding a 99% accuracy rate.

This paper contributes to a facet from the area of Web Information Retrieval that has recently received much attention: The satisfaction of a user’s personal information need with respect to text type, presentation type, or information quality. We imply that such properties can be quantified for all kinds of Web documents, and we subsume them under the term “Web genre” or “genre”. Recent survey...

Existing systems for automatic genre classification follows a supervised framework that extracts genre-specific information from manually-labeled music data and then identifies unknown music data. However, such systems may not be suitable for personal music management, because manually labeling music based on individually-defined genres can be labor intensive and subject to inconsistence from t...