نتایج جستجو برای: genre analysis

تعداد نتایج: 2833119  

2002
Patrick Allen John Bateman

We argue for a model of document genre that encompasses both linguistic and graphical resources as a means of expression. Two bird books are analysed (1972 and 1996) and a simple framework presented for the description of graphical differentiation of communicative function. The analysis predicts that graphical differentiation in this genre is less in earlier publications. This suggestion is tes...

2006
Markus Schedl Tim Pohle Peter Knees Gerhard Widmer

Abstract We explore a simple, web-based method for predicting the genre of a given artist based on co-occurrence analysis, i.e. analyzing co-occurrences of artist and genre names on music-related web pages. To this end, we use the page counts provided by Google to estimate the relatedness of an arbitrary artist to each of a set of genres. We investigate four different query schemes for obtainin...

2017
Maite Taboada Iria da Cunha Erick Galani Maziero Paula Cardoso

Deliberation is an increasingly used concept in Argumentation Theory and Linguistic Analysis. But only recently research combined empirical and conceptual tool-boxes from these disciplines for the study of deliberative discourse. The aim of this article is to present a discursive analysis of deliberation as a genre using the relational discourse structure of texts. In particular, we want to see...

The notion of genre has received a great deal of attention both in discourse analytic studies as well as in the field of ESP/EAP course design. The present paper has attempted to use genre analysis to account for the rhetorical features of research article introductions written by Iranian academics in two disciplinary fields of Education and Economics. The corpus comprised 40 research article i...

Mahnaz Saeidi, Sara Salehpour

In recent years, there has been an increasing amount of literature on genre-based approaches to writing instruction. However, scant attention has been paid to the use of genre-based scaffolding in the realm of academic writing. Hence, in an attempt to tackle the problems prevalent in academic writing, this study set out to investigate the effect of genre-based scaffolding through sentence start...

2015
Marlies van der Wees Arianna Bisazza Wouter Weerkamp Christof Monz

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...

2009
Pavel Braslavski

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...

2009
Jan Ljungberg

In this paper we argue that a combination of Actor-Network Theory (ANT) and Genre Theory can constitute a theoretical framework for understanding how digital genres evolve. Genre theory states that genres evolve over time through reciprocal interaction between institutionalized practices and individual action; that they develop from actors’ responses to recurrent situations, and are shaped ar...

2004
Sven Meyer zu Eissen Benno Stein

Genre classification means to discriminate between documents by means of their form, their style, or their targeted audience. Put another way, genre classification is orthogonal to a classification based on the documents’ contents. While most of the existing investigations of an automated genre classification are based on news articles corpora, the idea here is applied to arbitrary Web pages. W...

2017
Marlies van der Wees Arianna Bisazza Wouter Weerkamp Christof Monz

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...

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