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EnglishIn this paper, we show how speech recognition can contribute to the development of a multimedia course for foreign language self-learning that focuses both on receptive and productive skills. Specifically, we describe how we merged two different existing e-leaning projects, DALIA [5] and CALL-SLT ([1], [8]). DALIA is a project for self-learning and blended learning which targets several European languages and proficiency levels. CALL-SLT is a web-based spoken translation game configured to teach productive competences in specific domains. This paper describes the methodology used to merge these two approaches.
| Titolo: | Speech Recognition For Online Language Learning: Connecting CALL-SLT and DALIA |
| Autore/i: | Bouillon P.; CERVINI, CRISTIANA; MANDICH, ANNA MARIA; Rayner M.; Tsourakis N. |
| Autore/i Unibo: | |
| Anno: | 2011 |
| Titolo del libro: | ICT for Language Learning International Conference Proceedings |
| Pagina iniziale: | 1 |
| Pagina finale: | 6 |
| Abstract: | In this paper, we show how speech recognition can contribute to the development of a multimedia course for foreign language self-learning that focuses both on receptive and productive skills. Specifically, we describe how we merged two different existing e-leaning projects, DALIA [5] and CALL-SLT ([1], [8]). DALIA is a project for self-learning and blended learning which targets several European languages and proficiency levels. CALL-SLT is a web-based spoken translation game configured to teach productive competences in specific domains. This paper describes the methodology used to merge these two approaches. |
| Data stato definitivo: | 26-lug-2016 |
| Appare nelle tipologie: | 2.01 Capitolo / saggio in libro |
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