Instructional design and natural language processing in dialogue-based CALL

(2016) CALICO 2016 — Location: East Lansing, MI (11.May.2016)

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Bibauw_Francois_Desmet_CALICO_2016_Dialogue-based_CALL.pdf
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Abstract
Dialogue-based computer-assisted language learning (CALL) encompasses applications that allow a learner to practice a foreign language by carrying a conversation with a computer through unconstrained input. Such systems, whether speech or text-based, present various challenges to the CALL developer, both with the instructional design (degree of openness of the interaction, types of prompt, etc.) and the technological design (rules-driven vs. data-driven system, complexity level of the natural language processing, etc.). We propose a general task design framework for dialogue-based CALL, and align it with recommendations for natural language processing (NLP) techniques to tackle such challenge.
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Citations

Bibauw, S., François, T., & Desmet, P. (2016). Instructional design and natural language processing in dialogue-based CALL. CALICO 2016, East Lansing, MI. https://hdl.handle.net/2078.5/185697