This article addresses the question of how dithyramb was classified in antiquity, examining detail two fragmentary papyri (P.Graec.Vindob. 19996a–b; P.Berol. 9671 verso) alongside other testimonia which comment on nature and development dithyrambic genre. While majority these expect to be associated with Dionysus, some show that this Dionysiac link not exclusively followed as defining criterion...

Temporal dependencies reveal interesting insights into the semantic discourse structure of narrative texts. The investigations of literary scientists are, as of today, mostly based on labor-intensive manual annotations. Computational Narratology, an important subtopic of the Digital Humanities, aims at facilitating annotations and supporting literary scientists with their analyses. According to...

We investigate closed captions and discrete cosine transform coefficients individually as features for classifying movies by genre and learning user preferences. Using a support vector machine as the classifier, we find that these features work very well for classification by genre but the results are less satisfactory when learning user preferences.

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 present two experiments that use machine learning for automatically classifying web pages by genre. These experiments highlight the influence that genre annotation and genre granularity can have on the accuracy of the classification. From a practical point of view these experiments show that a collection annotated with the criteria of ‘objective sources’ and consistent genre gr...

The majority of approaches to author profiling and author identification focus mainly on lexical features, i.e., on the content of a text. We argue that syntactic dependency and discourse features play a significantly more prominent role than they were given in the past. We show that they achieve state-of-the-art performance in author and gender identification on a literary corpus while keeping...

this study aims at uncovering the effect(s) of genre-based instruction (gbi) on listening proficiency among iranian efl learners. moreover, it seeks to explore the relationship between effectiveness of gbi and listening proficiency. for this purpose, 68 efl learners in two different groups at zabol university were selected. group a included 30 participants (12 males and 18 females), and group b...