This study introduces a Genre Purity Assessment Tool (GPAT). GPAT calculates genre purity by using SIF n-graphs (statistically improbable graph strings) to identify genre characteristics in text. The study describes the tool and assesses it across five experiments that feature a variety of text types and text lengths. The results demonstrate that GPAT is at least as effective as a system that u...

Automatic musical genre classification is very useful for music indexing and retrieval. In this paper, an efficient and effective automatic musical genre classification approach is presented. A set of features is extracted and used to characterize music content. A multi-layer classifier based on support vector machines is applied to musical genre classification. Support vector machines are used...

This work addresses the problem of genre classification of text and speech transcripts, with the goal of handling genres not seen in training. Two frameworks employing different statistics on word/POS histograms with a PCA transform are examined: a single model for each genre and a factored representation of genre. The impact of the two frameworks on the classification of training-matched and n...

In intrinsic plagiarism analysis we are given a document, allegedly written by a single author, and the task is to find sufficient evidence either to accept or to reject this hypothesis. Existing research to intrinsic plagiarism analysis tries to quantify changes in the writing style by analyzing the distributions of particular style markers. This way, acceptable detection rates can be achieved...

The article argues that one crucial factor in the success of the Swedish vampire film Låt den rätte komma in/Let the Right One In (Alfredson, 2008) is that it seamlessly merges several apparently disparate genres to create a hybrid form that appeals to widely divergent audiences. A detailed analysis of the film demonstrates how it simultaneously draws on and departs from common themes and motif...

Domain adaptation is an active field of research in statistical machine translation (SMT), but so far most work has ignored the distinction between the topic and genre of documents. In this paper we quantify and disentangle the impact of genre and topic differences on translation quality by introducing a new data set that has controlled topic and genre distributions. In addition, we perform a d...

In this paper, we report on a preliminary study we carried out for identifying patterns that characterize the genre type of Greek texts. In the course of our study, we address four distinct genre types, we record their observable stylistic elements and we indicate their exploitation for automatic genre-based document classification. The findings of our study demonstrate that texts contain lexic...

In this chapter, we discuss different options for using genre-related information in Web search. We conduct an experiment on merging genre-related and text-relevance rankings using a reference Web collection. A method for automatic extraction of formality score akin to readability score using canonical discriminant analysis applied to a sample of genres with decreasing formality is proposed. Ef...