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- W2158534032 abstract "We present two dialogue systems for language learning which both restrict the dialog to a specific domain thereby promoting 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 restricted 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 generation techniques to produce grammar exercises which guide the learner toward the expected answer." @default.
- W2158534032 created "2016-06-24" @default.
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- W2158534032 date "2013-08-22" @default.
- W2158534032 modified "2023-10-18" @default.
- W2158534032 title "Weakly and Strongly Constrained Dialogues for Language Learning" @default.
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