[en] This article describes a model of other-initiated self-repair for a chatbot that helps to practice conversation in a foreign lan- guage. The model was developed using a corpus of instant messaging conversations between German native and non-native speakers. Conversation Analysis helped to create computational models from a small number of examples. The model has been validated in an AIML-based chatbot. Unlike typical retrieval-based dialogue systems, the explanations are generated at run-time from a linguistic database.
Disciplines :
Computer science
Author, co-author :
Höhn, Sviatlana ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language
