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Du bruit, du silence et des ambiguïtés : que faire du TAL pour l'apprentissage des langues ?
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kraif, Olivier Ponton, Claude |
| Copyright Year | 2007 |
| Abstract | This paper presents the so-called "moins-disante" strategy, a new approach for NLP integrating in Computer Assisted Language Learning (CALL) systems. It is based on the implementation of basic but reliable NLP techniques, and put emphasis on declarative and modular processing, for the sake of portability and didactic implementation. Based on this approach, ExoGen is a prototype for generating activities such as gap filling exercises. It integrates a module for error detection and description, which checks learners' answers against expected ones. Through the analysis of graphic, orthographic and morphosyntactic differences, it is able to diagnose problems like spelling errors, lexical mix-up, error prone agreement, bad conjugations, etc. The first evaluation of ExoGen outputs, based on the FRIDA learner corpus, has yielded very promising results, paving the way for the development of an efficient and general model tailored to a wide variety of activities. Mots-clés : ALAO, apprentissage des langues, diagnostic d'erreur, feed-back d'erreur. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://talnarchives.atala.org/TALN/TALN-2007/taln-2007-poster-014.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
