research on pre-task planning has revealed that planned conditions have produced more fluent and complex language than unplanned conditions. to date, most of these studies have investigated the effects of individual planning on language production while collaborative planning has received scant attention. to determine the effects of pre-task planning on second language written production, the p...

Arousing readers’ interest constitutes a major component in argumentative essays, but how writers use language resources to capture the written discourse remains fascinating area for qualitative exploration. Based on genre-based analytical framework, researchers studied salient linguistic used by professional attract attention their essays. Additional information was elicited from specialist in...

Natural language generation needs an input language whose expressive power is sufficient for generating texts with the level of quality desired by various NLP applications. In oar generator, DIOGENES(e.g., Nirenburg et al., 1989), we use the text meaning representation language TAMERLAN(Nirenburg and Defrise, 1989 and forthcoming). Expressions in this language are used as input by the DIOGENES ...

We analyse the challenges and changing character, production and consumption of the emerging genre fashion film through a genre as ecology approach. This approach accounts for the complexity of various rhetorical practices used within the creative industries, such as fashion. We find that digital mediation compels genre innovation in networked cultures in the mediation of fashion. We examine th...

Online newspapers, having existed on the Internet for a couple of years, are now having similar form and content, starting to shape what could be called a genre. We have analyzed the news sites of nine Swedish local newspapers using a repertoire of genre elements consisting of navigation elements, landmarks, news streams, headlines, search/archives and advertisements. We have also interviewed 1...

Natural language generation needs an input language whose expressive power is sufficient for generating texts with the level of quality desired by various NLP applications. In oar generator, DIOGENES(e.g., Nirenburg et al., 1989), we use the text meaning representation language TAMERLAN(Nirenburg and Defrise, 1989 and forthcoming). Expressions in this language are used as input by the DIOGENES ...

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...

This paper gives a brief description on the methods adopted for the task of author-profiling as part of the competition PAN 2016 [1]. Author profiling is the task of predicting the author’s age and gender from his/her writing. In this paper, we follow a two-level ensemble approach to tackle the cross-genre author profiling task where training documents and testing documents are from different g...

Broadcast News (BN) speech recognition transcription has attracted research due to the challenges of the task since the mid 1990’s. More recently, research has been moving towards more spontaneous broadcast data, commonly called Broadcast Conversation (BC) speech. Considering the large style difference between BN and BC genres, specific modeling of genres should intuitively result in improved s...