Computational Models of Miscommunication Phenomena

Author:

Purver Matthew1,Hough Julian2,Howes Christine3

Affiliation:

1. Cognitive Science Research Group; School of Electronic Engineering and Computer Science; Queen Mary University of London

2. Dialogue Systems Group; Faculty of Linguistics and Literature; Bielefeld University

3. Centre for Linguistic Theory and Studies in Probability (CLASP); Department of Philosophy, Linguistics and Theory of Science; University of Gothenburg

Funder

Engineering and Physical Sciences Research Council

H2020 Future and Emerging Technologies

Deutsche Forschungsgemeinschaft

Vetenskapsrådet

Publisher

Wiley

Subject

Artificial Intelligence,Cognitive Neuroscience,Human-Computer Interaction,Linguistics and Language,Experimental and Cognitive Psychology

Reference73 articles.

1. The HCRC map task data;Anderson;Language and Speech,1991

2. Bard , E. G. Lickley , R. J. Aylett , M. P. 2001 Is disfluency just difficulty? Edinburgh, Scotland

3. Disfluency rates in conversation: Effects of age, relationship, topic, role, and gender;Bortfeld;Language and Speech,2001

4. How listeners compensate for disfluencies in spontaneous speech;Brennan;Journal of Memory and Language,2001

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