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Context-sensitive natural language generation for robot-assisted second language tutoring

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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 languageEnglish
Title of host publicationINLG 2018 - Workshop on NLG for Human�Robot Interaction, Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages1-7
ISBN (Electronic)9781948087902
Publication statusPublished - 2018
Externally publishedYes
Event2018 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 20188 Nov 2018

Conference

Conference2018 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/TerritoryNetherlands
CityTilburg
Period8/11/188/11/18

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.

FundersFunder number
Horizon 2020, the EU Framework Programme for Research and Innovation688014
Tilburg School of Humanities and Digital Sciences at Tilburg University

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