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 Nugroho Yahya, Heuiseok Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationSystem Demonstrations
PublisherAssociation for Computational Linguistics (ACL)
Pages190-207
Number of pages18
ISBN (Electronic)9781959429708
Publication statusPublished - 2023
Event61st Annual Meeting of the Association for Computational Linguistics, ACL-DEMO 2023 - Toronto, Canada
Duration: 2023 Jul 102023 Jul 12

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
Volume3
ISSN (Print)0736-587X

Conference

Conference61st Annual Meeting of the Association for Computational Linguistics, ACL-DEMO 2023
Country/TerritoryCanada
CityToronto
Period23/7/1023/7/12

Bibliographical note

Publisher Copyright:
© ACL-DEMO 2023. All rights reserved.

ASJC Scopus subject areas

  • Computer Science Applications
  • Linguistics and Language
  • Language and Linguistics

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