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 contribut...
Κύριος συγγραφέας: | |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
Έκδοση: | 1st ed. 2019. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.