Advertisement

GenieTutor: A Computer-Assisted Second-Language Learning System Based on Spoken Language Understanding

  • Oh-Woog KwonEmail author
  • Kiyoung Lee
  • Yoon-Hyung Roh
  • Jin-Xia Huang
  • Sung-Kwon Choi
  • Young-Kil Kim
  • Hyung Bae Jeon
  • Yoo Rhee Oh
  • Yun-Kyung Lee
  • Byung Ok Kang
  • Euisok Chung
  • Jeon Gue Park
  • Yunkeun Lee

Abstract

This paper introduces a computer-assisted second-language learning system using spoken language understanding. The system consists of automatic speech recognition, semantic/grammar correction evaluation, and tutoring module. The speech recognition is optimized for non-natives as well as natives for educational purpose and smooth interaction. Semantic/grammar correction evaluation evaluates whether the non-native learner's utterance is appropriate semantically and is correct grammatically. Tutoring module decides to go to the next turn or ask the learner to try again, and also provides a turn-by-turn corrective feedback using evaluation results. We constructed English learning service consisting of three stages such as Pronunciation Clinic, Think&Talk and Look&Talk using the system.

Keywords

Computer-assisted second-language learning system Non-native-optimized speech recognition Grammar error correction Semantic correctness evaluation Educational feedback 

Notes

Acknowledgements

This work was supported by the ICT R&D program of MSIP/IITP (10035252, Development of dialog-based spontaneous speech interface technology on mobile platform).

References

  1. Chung H, Lee SJ, Lee YK (2014) Weighted finite state transducer-based endpoint detection using probabilistic decision logic. ETRI J 36:714–720CrossRefGoogle Scholar
  2. Lee SJ, Kang BO, Chung H, Lee YK (2014) Intra- and inter-frame features for automatic speech recognition. ETRI J 36:514–517CrossRefGoogle Scholar
  3. Ng HT, Wu SM, Briscoe T (2014) The CoNLL-2014 shared task on grammatical error correction. In: Proceedings of the 18th conference on computational natural language learning, pp 1–14Google Scholar
  4. Young S et al. (2009) The HTK book (for HTK version 3.4). Microsoft Corporation, Cambridge University Engineering Department, March 2009Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Oh-Woog Kwon
    • 1
    Email author
  • Kiyoung Lee
    • 1
  • Yoon-Hyung Roh
    • 1
  • Jin-Xia Huang
    • 1
  • Sung-Kwon Choi
    • 1
  • Young-Kil Kim
    • 1
  • Hyung Bae Jeon
    • 1
  • Yoo Rhee Oh
    • 1
  • Yun-Kyung Lee
    • 1
  • Byung Ok Kang
    • 1
  • Euisok Chung
    • 1
  • Jeon Gue Park
    • 1
  • Yunkeun Lee
    • 1
  1. 1.Automatic Speech Translation and Artificial Intelligence Research Center, Electronics and Telecommunications Research InstituteDeajeonSouth Korea

Personalised recommendations