PEEP-Talk: A Situational Dialogue-based Chatbot for English Education

Seungjun Lee, Yoonna Jang, Chanjun Park, Jungseob Lee, Jaehyung Seo, Hyeonseok Moon, Sugyeong Eo, Seounghoon Lee, Bernardo Yahya, Heuiseok Lim

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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 English-speaking, grammar, and English learning anxiety, implying that PEEP-Talk can lower the barrier to learning natural conversation in effective ways.
Anthology ID:
2023.acl-demo.18
Volume:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Danushka Bollegala, Ruihong Huang, Alan Ritter
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
190–207
Language:
URL:
https://aclanthology.org/2023.acl-demo.18
DOI:
10.18653/v1/2023.acl-demo.18
Bibkey:
Cite (ACL):
Seungjun Lee, Yoonna Jang, Chanjun Park, Jungseob Lee, Jaehyung Seo, Hyeonseok Moon, Sugyeong Eo, Seounghoon Lee, Bernardo Yahya, and Heuiseok Lim. 2023. PEEP-Talk: A Situational Dialogue-based Chatbot for English Education. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 190–207, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
PEEP-Talk: A Situational Dialogue-based Chatbot for English Education (Lee et al., ACL 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/2023.acl-demo.18.pdf
Video:
 https://preview.aclanthology.org/teach-a-man-to-fish/2023.acl-demo.18.mp4