Overview
- Tool analyses participants' orientation to linguistic identities in chat
- Author introduces data-driven computational models for communicative Intelligent Computer-Assisted Language Learning (communicative ICALL)
- Interesting for researchers and engineers in the areas of computational linguistics, intelligent assistants, and conversational interfaces
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Table of contents (14 chapters)
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Background
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Using Conversation Analysis for Dialogue Modelling
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Model Validation and Future Directions
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Supplements
Keywords
About this book
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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Artificial Companion for Second Language Conversation
Book Subtitle: Chatbots Support Practice Using Conversation Analysis
Authors: Sviatlana Höhn
DOI: https://doi.org/10.1007/978-3-030-15504-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-15503-2Published: 04 July 2019
Softcover ISBN: 978-3-030-15506-3Published: 14 August 2020
eBook ISBN: 978-3-030-15504-9Published: 21 June 2019
Edition Number: 1
Number of Pages: XIII, 346
Number of Illustrations: 9 b/w illustrations, 12 illustrations in colour
Topics: Artificial Intelligence, Computational Linguistics, User Interfaces and Human Computer Interaction