Artificial Companion for Second Language Conversation Chatbots Support Practice Using Conversation Analysis

The research described in this book shows that conversation analysis can effectively model dialogue. Specifically, this work shows that the multidisciplinary field of communicative ICALL may greatly benefit from including Conversation Analysis. As a consequence, this research makes several contributions to the related research disciplines, such as conversation analysis, second-language acquisition, computer-mediated communication, artificial intelligence, and dialogue systems.

The book will be of value for researchers and engineers in the areas of computational linguistics, intelligent assistants, and conversational interfaces.

Part I, Background.- Setting the Scene.- Learning from Others' Experience.- Part II, Using Conversation Analysis for Dialogue Modelling.- Patterns for Expert-Novice Chats.- Other-Initiated Self-repair with Linguistic Trouble Source.- Exposed Corrections.- Embedded Corrections.- Models of Learner-Error Corrections.- To Correct or Not to Correct.- Method Evaluation.- Part III, Model Validation and Future Directions.- Implementation of an Artificial Conversation Companion.- Future Research Directions.- Part IV, Supplements.- App. A, Data.- App. B, Coding Scheme for Polar Questions.- App. C, Examples.- References.