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.
| Original language | English |
|---|---|
| Title of host publication | INLG 2018 - Workshop on NLG for Human�Robot Interaction, Proceedings of the Workshop |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 1-7 |
| ISBN (Electronic) | 9781948087902 |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 2018 Workshop on Natural Language Generation for Human�Robot Interaction, NLG-HRI 2018, as part of the 11th International Conference on Natural Language Generation, INLG 2018 - Tilburg, Netherlands Duration: 8 Nov 2018 → 8 Nov 2018 |
Conference
| Conference | 2018 Workshop on Natural Language Generation for Human�Robot Interaction, NLG-HRI 2018, as part of the 11th International Conference on Natural Language Generation, INLG 2018 |
|---|---|
| Country/Territory | Netherlands |
| City | Tilburg |
| Period | 8/11/18 → 8/11/18 |
Funding
This work is funded by Horizon 2020, the EU Framework Programme for Research and Innovation, Grant Agreement: 688014, and the Tilburg School of Humanities and Digital Sciences at Tilburg University, The Netherlands.
| Funders | Funder number |
|---|---|
| Horizon 2020, the EU Framework Programme for Research and Innovation | 688014 |
| Tilburg School of Humanities and Digital Sciences at Tilburg University |
Fingerprint
Dive into the research topics of 'Context-sensitive natural language generation for robot-assisted second language tutoring'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver