Linguistic Repetitions, Task-based Experience and A Proxy Measure of Mutual Understanding
Citation:
Justine Reverdy and Carl Vogel, Linguistic Repetitions, Task-based Experience and A Proxy Measure of Mutual Understanding, IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2017), 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2017), Debrecen, Sept. 11-14, 2017, Peter Baranyi, Anna Esposito, Peter Foeldesi and Tamas Mihalydeak, 8, IEEE, 2017, 395-400Abstract:
The way dialogue partners collaborate to achieve a joint task is dependent on the way they construct a common ground of knowledge. Diverse conversational mechanisms are involved in developing a common ground, and repetition phenomena appear to be strongly connected to these processes. This article describes the use of an automatic method to detect, within dialogue transcripts, linguistic cues of engagement and synchrony, by observing repetitions at different linguistic levels. We focus on the relationship between repetition patterns and task-based success in interaction with task-based experience and partner familiarity. We conduct our analysis on the data of the HCRC Map Task corpus. Results suggests that, among other patterns, significant amounts of repetitions play a role for unfamiliar participants, with greater success, in particular, at first attempts.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
13/RC/2106
Author's Homepage:
http://people.tcd.ie/vogelDescription:
PUBLISHEDISBN 978-1-5386-1264-4
Debrecen
Author: VOGEL, CARL
Other Titles:
IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2017)8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2017)
Publisher:
IEEEType of material:
Conference PaperCollections
Series/Report no:
8Availability:
Full text availableSubject (TCD):
Digital Humanities , Intelligent Content & Communications , Computational linguistics , Corpus Linguistics , DIALOG , Discourse & Dialogue , LINGUISTICS , Psycholinguistics , forensic linguisticsDOI:
https://doi.org/10.1109/CogInfoCom.2017.8268278Metadata
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