We propose a deep learning-based foreign language learning platform, named FREETALKY, for people who experience anxiety dealing with foreign languages, by employing a humanoid robot NAO and various deep learning models. A persona-based dialogue system that is embedded in NAO provides an interesting and consistent multi-turn dialogue for users. Also, an grammar error correction system promotes improvement in grammar skills of the users. Thus, our system enables personalized learning based on persona dialogue and facilitates grammar learning of a user using grammar error feedback. Furthermore, we verified whether FREETALKY provides practical help in alleviating xenoglossophobia by replacing the real human in the conversation with a NAO robot, through human evaluation.
|Title of host publication||2022 Language Resources and Evaluation Conference, LREC 2022|
|Editors||Nicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Jan Odijk, Stelios Piperidis|
|Publisher||European Language Resources Association (ELRA)|
|Number of pages||7|
|Publication status||Published - 2022|
|Event||13th International Conference on Language Resources and Evaluation Conference, LREC 2022 - Marseille, France|
Duration: 2022 Jun 20 → 2022 Jun 25
|Name||2022 Language Resources and Evaluation Conference, LREC 2022|
|Conference||13th International Conference on Language Resources and Evaluation Conference, LREC 2022|
|Period||22/6/20 → 22/6/25|
Bibliographical noteFunding Information:
This research was supported by Institute of Information & communications Technology Planning & Evaluation(IITP) grant funded by the Korea government(MSIT) (No. 2020-0-00368, A Neural-Symbolic Model for Knowledge Acquisition and Inference Techniques) and supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(NRF-2021R1A6A1A03045425).
© European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.
- Grammar Error Feedback
- Humanoid Robot NAO
- Persona Dialogue
ASJC Scopus subject areas
- Language and Linguistics
- Library and Information Sciences
- Linguistics and Language