Toward Scalable Dialog Technology for Conversational Language Learning: Case Study of the TOEFL® MOOC

Vikram Ramanarayanan, David Pautler, Patrick Lange, Eugene Tsuprun, Rutuja Ubale, Keelan Evanini, David Suendermann-Oeft


We present a scalable, dialog-based conversational practice tool for English language learners that is operationally deployed on the TOEFL® MOOC. The tool consists of three applications of varying duration that recognize the learner's speech input and responds appropriately. Learners are also provided with basic feedback regarding task performance once complete. We envision this as the first milestone towards the proliferation of many such scalable dialog applications that can help language learners practice, assess and improve their spoken conversation skills.


Cite as: Ramanarayanan, V., Pautler, D., Lange, P., Tsuprun, E., Ubale, R., Evanini, K., Suendermann-Oeft, D. (2018) Toward Scalable Dialog Technology for Conversational Language Learning: Case Study of the TOEFL® MOOC. Proc. Interspeech 2018, 1960-1961.


@inproceedings{Ramanarayanan2018,
  author={Vikram Ramanarayanan and David Pautler and Patrick Lange and Eugene Tsuprun and Rutuja Ubale and Keelan Evanini and David Suendermann-Oeft},
  title={Toward Scalable Dialog Technology for Conversational Language Learning: Case Study of the TOEFL® MOOC},
  year=2018,
  booktitle={Proc. Interspeech 2018},
  pages={1960--1961}
}