A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language
Sviatlana Höhn · 2017
This article describes a model of otherinitiated self-repair for a chatbot that helps to practice conversation in a foreign language.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.