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pro vyhledávání: '"Bibauw, Serge"'
This paper describes the results of the first shared task on the generation of teacher responses in educational dialogues. The goal of the task was to benchmark the ability of generative language models to act as AI teachers, replying to a student in
Externí odkaz:
http://arxiv.org/abs/2306.06941
Autor:
Lison, Pierre, Bibauw, Serge
Neural conversational models require substantial amounts of dialogue data for their parameter estimation and are therefore usually learned on large corpora such as chat forums or movie subtitles. These corpora are, however, often challenging to work
Externí odkaz:
http://arxiv.org/abs/1704.08966
Publikováno v:
Language Learning & Technology, Vol. 26, no. 1, p. 1-24 (2022)
The present study offers a meta-analysis of effectiveness studies on dialogue-based CALL, i.e., systems allowing a learner to practice a second language (L2) by interact- ing with a conversational agent (“bot”). Through a systematic inclusion and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::27ae628bb77f5c2a617c831d7a3de790
https://lirias.kuleuven.be/handle/123456789/662188
https://lirias.kuleuven.be/handle/123456789/662188
Speaking utterance fluency, as a dimension of L2 performance, is assumed to be correlated to L2 proficiency, and the ability to measure it objectively and precisely is key for testing and research. Many utterance fluency metrics have been proposed, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::d0a38fef707d7aa3a1476f7690d8d476
https://hdl.handle.net/2078.1/275111
https://hdl.handle.net/2078.1/275111
Dialogue-based computer-assisted language learning (CALL) allows a learner to practice an L2 by discussing with a computer. By offering a fully controllable meaning-focused learning environment, it also allows to conduct research on the effectiveness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::dc30874723ff2c144e922459895e57af
https://hdl.handle.net/2078.1/217925
https://hdl.handle.net/2078.1/217925
Dialogue-based computer-assisted language learning (CALL) systems allow a learner to practice meaningfully a foreign language (L2) with an automated agent, whether through an oral (spoken dialogue systems) or written interface (chatbots) (Bibauw, Fra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::a3f6c77b51aa2dead4dac04202fdf322
https://hdl.handle.net/2078.1/217840
https://hdl.handle.net/2078.1/217840
Dialogue-based CALL systems allow a learner to practice meaningfully an L2 with an automated agent, through an oral (spoken dialogue systems) or written interface (chatbots) (Bibauw, François, & Desmet, 2015). In order to obtain a better comprehensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::db840183131324522e42cfdd1250f928
https://hdl.handle.net/2078.1/217839
https://hdl.handle.net/2078.1/217839
Akademický článek
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Dialogue-based computer-assisted language learning (CALL) systems allow a learner to practice meaningfully a foreign language (L2) with an automated agent, whether orally or through text chat. With the aim of establishing the impact of such systems o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::6aa275c6b8b0c6027a91d7c50e8d705d
https://hdl.handle.net/2078.1/185025
https://hdl.handle.net/2078.1/185025