Abstract
This paper describes the L2TOR intelligent tutoring system (ITS), focusing primarily on its output generation module. The L2TOR ITS is developed for the purpose of investigating the efficacy of robot-assisted second language tutoring in early childhood. We explain the process of generating contextually-relevant utterances, such as task-specific feedback messages, and discuss challenges regarding multimodality and multilingualism for situated natural language generation from a robot tutoring perspective.
Cite
CITATION STYLE
Willemsen, B., de Wit, J., Krahmer, E., de Haas, M., & Vogt, P. (2018). Context-sensitive natural language generation for robot-assisted second language tutoring. In INLG 2018 - Workshop on NLG for Human-Robot Interaction, Proceedings of the Workshop (pp. 1–7). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-6901
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