Artificial Companion for Second Language Conversation Chatbots Support Practice Using Conversation Analysis /
Höhn, Sviatlana.
Artificial Companion for Second Language Conversation Chatbots Support Practice Using Conversation Analysis / [electronic resource] : by Sviatlana Höhn. - 1st ed. 2019. - XIII, 346 p. 21 illus., 12 illus. in color. online resource.
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.
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.
9783030155049
10.1007/978-3-030-15504-9 doi
Artificial intelligence.
Computational linguistics.
User interfaces (Computer systems).
Human-computer interaction.
Artificial Intelligence.
Computational Linguistics.
User Interfaces and Human Computer Interaction.
Q334-342 TA347.A78
006.3
Artificial Companion for Second Language Conversation Chatbots Support Practice Using Conversation Analysis / [electronic resource] : by Sviatlana Höhn. - 1st ed. 2019. - XIII, 346 p. 21 illus., 12 illus. in color. online resource.
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.
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.
9783030155049
10.1007/978-3-030-15504-9 doi
Artificial intelligence.
Computational linguistics.
User interfaces (Computer systems).
Human-computer interaction.
Artificial Intelligence.
Computational Linguistics.
User Interfaces and Human Computer Interaction.
Q334-342 TA347.A78
006.3