PEEP-Talk: A situational dialogue-based chatbot for english education

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Abstract

English is acknowledged worldwide as a mode of communication. However, due to the absence of realistic practicing scenarios, students learning English as a foreign language (EFL) typically have limited chances to converse and share feedback with others. In this paper, we propose PEEP-Talk, a real-world situational dialogue-based chatbot designed for English education. It also naturally switches to a new topic or situation in response to out-of-Topic utterances, which are common among English beginners. Furthermore, PEEP-Talk provides feedback score on conversation and grammar error correction. We performed automatic and user evaluations to validate performance and education efficiency of our system. The results show that PEEP-Talk generates appropriate responses in various real-life situations while providing accurate feedback to learners. Moreover, we demonstrate a positive impact on Englishspeaking, grammar, and English learning anxiety, implying that PEEP-Talk can lower the barrier to learning natural conversation in effective ways.

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APA

Lee, S., Jang, Y., Park, C., Lee, J., Seo, J., Moon, H., … Lim, H. (2023). PEEP-Talk: A situational dialogue-based chatbot for english education. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 3, pp. 190–207). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.acl-demo.18

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