This paper reported on a genre-driven comparative study, which aimed to identify the generic moves in the conclusion sections of twenty research articles in the field of sociology written in the two codes of Persian and English. To meet this purpose, the researchers employed Moritz, Meurer, and Dellagnelo's model, which was set within the Swalesian framework of genre analysis. The analysis was ...

This study investigated the effects of planned focus-on-form instruction (pFFI) on developing oral grammatical accuracy in Iranian English EFL learners. To this end, 60 lower-intermediate EFL learners studying English in a private English language institute in Tehran, Iran, were randomly assigned to two classes. Both classes received a task-based instruction on grammatical points elicited in or...

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 ...

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 ...

Intelligent Tutoring Systems are a genre of highly adaptive software providing individualized instruction. The current study was conceptual replication previous randomized control trial that incorporated the intelligent tutoring system Native Numbers, program designed for early numeracy As replication, we kept method instruction, demographics, number...

This paper summarizes our contribution (team DBIS) to the AcousticBrainz Genre Task: Content-based music genre recognition from multiple sources as part of MediaEval 2017. We utilize a hierarchical set of multilabel classifiers to predict genres and subgenres and rely on a voting scheme to predict labels across datasets.

In this paper we present a cross-genre study on word order variation in Italian based on automatically dependency– parsed corpora. A comparative analysis focused on dependency direction and dependency distance for major constituents in the sentence is carried out in order to assess the influence of both textual genre and linguistic complexity on the distribution of phenonemena of syntactic mark...

This paper presents experimentson classifyingweb pages by genre. Firstly, a corpus of 1 539 manually labeled web pages was prepared. Secondly, 502 genre features were selected based on the literature and the observation of the corpus. Thirdly, these features were extracted from the corpus to obtain a data set. Finally, two machine learning algorithms, one for induction of decision trees (J48) a...

This paper describes our participation in Genre Tagging Task @ MediaEval 2011, which aims at predicting the Genre of Internet videos. We propose a method that extracts low dimensional feature space based on text, audio and video information. In the best configuration, our system yields a 0.56 MAP (Mean Average Precision) on the test corpus.