نتایج جستجو برای: keywords: genre analysis
تعداد نتایج: 4390959 فیلتر نتایج به سال:
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...
the significance of research article (ra) abstract as a key academic genre has recently motivated analysts to focus on this neglected area. considering a summary function for abstracts, most genre researchers have adopted the conventionally proposed introduction- method- results- discussion (or conclusion) (imrd) model for analysis. however, the problems reported, especially for results and dis...
abstract over the past two decades, applied linguists and language teachers have shown a great deal of interest in genre-centered approaches , mainly because of pedagogic concerns . this has been due to the need to help non-native readers enhance their ability to understand academic and scientific texts. following swales’ (1981) works on genre analysis, studies of different sections of resear...
This extended abstract provides overview of the genre classification process in our submission for MIREX 2009. First, the scheme of extraction of features and use of them in the process of Musical Genre Classification is explained. In later part dataset and results obtained are described. Keywords—ISMIR, Genre, GMM, Timbre
Retrieving relevant documents over the Web is an overwhelming task when search engines return thousands of Web documents. Sifting through these documents is time-consuming and sometimes leads to an unsuccessful search. One problem is that most search engines rely on matching a query to documents based solely on topical keywords. However, many users of search engines have a particular genre in m...
Classification of music genre has been an inspiring job in the area of music information retrieval (MIR). Classification of genre can be valuable to explain some actual interesting problems such as creating song references, finding related songs, finding societies who will like that specific song. The purpose of our research is to find best machine learning algorithm that predict the genre of s...
Musical obsessions are rare in both clinical practice and literature. A case is presented of a musical obsession which had the additional unique characteristics of acute onset, marked severity, and occurrence as an isolated symptom.
Modern search engines are typically queried with keywords, which foremostly convey the topic of the sought web page. Consequently the resulting top hits are often topically relevant, but nonetheless not what the user wants. The premise of this paper is that the relevance of the hits can be improved when also searching by genre, classification criterion orthogonal to topic. To this end a genre c...
Automatic music genre classification is one of the most challenging problems in music information retrieval and management of digital music database. In this paper, we propose a new method to classify music genres using text categorization methods. Differing from previous solutions which were mainly based on analysis on acoustic or symbolic audio signal, here we consider music as a text-like se...
communicative moves and lexical cohesion patterns (lcps), as mounting evidence shows, are two important indicators in writing and publishing the ras. however, the interaction between these two crucial elements and the contribution of this interaction to the failure or success of the ras have not been given due attention to date. having this in mind and based on a sound theoretical framework, at...
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