In this paper I describe a genre analysis for on-line newspapers, revealing how their mediating form affect news related activities. A repertoire of elements was developed during the analysis of three on-line newspapers, to describe them. It is a repertoire of content, information structure and interaction elements together with with a repertoire of mediationg roles. The analysis in terms of th...

In an effort to understand the impact of designing for digital genres on users’ mental representations of structure, a two-phase study was conducted. In phase 1, six expert news readers and a panel of HCI experts were solicited for input regarding genre-conforming and genre-violating web news page design, navigation, and story categorization. In phase 2, a longitudinal experiment with a group o...

This paper reports on the verification of the video genre: sport, cartoon, news, commercial and music. Results for the two modes, acoustic and visual, and for combined modes show an average equal error rate (ERR) of 16%, 15% and 10%. respectively. These reflect verification accuracy and as such are believed to be the first of their kind; previously published work has focused on closed set ident...

We explore the integration of multiple factors such as genre and speaker gender for acoustic model adaptation tasks to improve Mandarin ASR system performance on broadcast news and broadcast conversation audio. We investigate the use of multifactor clustering of acoustic model training data and the application of MPE-MAP and fMPE-MAP acoustic model adaptations. We found that by effectively comb...

This paper describes a dynamic document genre for on-line news, specifically designed to support end users in both easily skimming news stories as well as reading them in-depth. Through careful analysis of the needs of on-line news readers, and understanding the opportunities and constraints of the computational medium, we set out to define characteristics of a document management environment w...

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...

Video genre classification is a challenging task in a global context of fast growing video collections available on the Internet. This paper presents a new method for video genre identification by audio analysis. Our approach relies on the combination of low and high level audio features. We investigate the discriminative capacity of features related to acoustic instability, speaker interactivi...

This paper presents a higher level representation for videos aiming at video genre retrieval. In video genre retrieval, there is a challenge that videos may comprise multiple categories, for instance, news videos may be composed of sports, documentary, and action. Therefore, it is interesting to encode the distribution of such genres in a compact and effective manner. We propose to create a vis...

Emerging within Systemic Linguistics, Appraisal/Evaluation is a framework for analyzing the language of evaluation, providing techniques for the systematic analysis of evaluation and stance as they operate in whole texts and in groupings of texts. There are three systems in the Appraisal framework: Attitude, Engagement, and Graduation. This study sets out to analyze the use of the system of Eng...