A study of epistemic modality in academic and popularised discourse: the case of possibility adverbs perhaps, maybe and possibly

[EN] This paper describes the use of perhaps, maybe and possibly in a cross-disciplinary corpus of academic and popularised scientific writing. It accounts for their higher frequency in popularised discourse by investigating their functions in detail. The analysis, conducted from various perspectives (syntactic, semantic, pragmatic and rhetorical), suggests that two factors are at work: the evidential basis for the epistemic assessment and the mode of discourse the marker is most closely associated with.

Interactive application in spanish sign language for a public transport environment

[ES] En este trabajo se presenta el diseño de una herramienta multimedia que traduce a la lengua de signos españolas los mensajes de avisos que puede proporcionar un sistema de megafonía. El objetivo del trabajo es proporcionar una herramienta que mejore la inclusión social de las personas con discapacidades auditivas. Con este propósito, se han seleccionado el entorno y los mensajes de audio habituales en un aeropuerto para desarrollar este proyecto piloto. Por último, los audios se han traducido a lengua de signos españolas sintetizando un avatar usando la técnica de animación de rotoscopía a partir de la grabación en vídeo de un traductor. Los resultados finales han sido evaluados por personas sordas.

Teaching and learning discourse analysis: some ideas on the use of ICTs

[EN]ICTs have played a major role in transforming the way we teach and learn. The purpose of this paper is to present some ideas on how ICTs can be implemented in the teaching and learning of discourse analysis. ICTs offer valuable material to help explain key theoretical concepts of discourse analysis and to examine linguistic and social reality. A tweet, a video song, a speech, an advertisement or a hoax-mail may enhance students’ motivation and stimulate critical thinking.

Automatic initialization for facial analysis in interactive robotics

[EN]This paper focuses on four different initialization methods for determining the initial shape for the AAM algorithm and their particular performance in two different classification tasks with respect to either the facial expression DaFEx database and to the real world data obtained from a robot’s point of view.