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Large Language Model based Situational Dialogues for Second Language Learning
April 1, 2024, 4:47 a.m. | Shuyao Xu, Long Qin, Tianyang Chen, Zhenzhou Zha, Bingxue Qiu, Weizhi Wang
cs.CL updates on arXiv.org arxiv.org
Abstract: In second language learning, scenario-based conversation practice is important for language learners to achieve fluency in speaking, but students often lack sufficient opportunities to practice their conversational skills with qualified instructors or native speakers. To bridge this gap, we propose situational dialogue models for students to engage in conversational practice. Our situational dialogue models are fine-tuned on large language models (LLMs), with the aim of combining the engaging nature of an open-ended conversation with the …
abstract arxiv bridge conversation conversational cs.cl dialogue gap language language model large language large language model opportunities practice skills speakers speaking students type
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