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Weakly and Strongly Constrained Dialogues for Language Learning

Abstract : We present two dialogue systems for lan- guage learning which both restrict the di- alog to a specific domain thereby pro- moting robustness and the learning of a given vocabulary. The systems vary in how much they constrain the learner's answer : one system places no other constrain on the learner than that provided by the re- stricted domain and the dialog context ; the other provides the learner with an exercise whose solution is the expected answer. The first system uses supervised learning for simulating a human tutor whilst the second one uses natural language gener- ation techniques to produce grammar ex- ercises which guide the learner toward the expected answer.
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Contributor : Claire Gardent <>
Submitted on : Wednesday, December 18, 2013 - 7:24:48 PM
Last modification on : Wednesday, January 6, 2021 - 6:48:02 AM
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  • HAL Id : hal-00920608, version 1



Claire Gardent, Alejandra Lorenzo, Laura Perez-Beltrachini, Lina Rojas-Barahona. Weakly and Strongly Constrained Dialogues for Language Learning. the 14th annual SIGdial Meeting on Discourse and Dialogue SIGDIAL 2013, Aug 2013, Metz, France. pp.357-359. ⟨hal-00920608⟩



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