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Speech and gestures: computational linguistic studies

Published on Jan 14, 2019470 Views

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CLARIN Annual Conference 201800:00
Speech and gestures00:07
Content00:34
Reserchers and introduction - 100:47
Reserchers and introduction - 200:49
Some terms01:35
What?02:34
Auditive and visual modalities in communication03:01
Speech and gestures04:11
Unification-based approach for parsing and generating speech and gestures04:52
First studies at CST- formalisation and generation04:55
MUMIN annotation framework05:29
Example of feedback annotations06:33
Formalising in HPSG06:38
Multimodal corpus collection and annotation06:59
NOMCO First encounters07:06
The Danish NOMCO first encounters07:44
NOMCO project focus on Interaction Management (feedback and turn-taking)07:58
Other studies on Danish NOMCO08:47
Gesture types09:51
Semiotic types and meaning09:58
Beat/Batonic and Deictic in the end11:45
Attitude expression, deictic, iconic reference to object12:17
Interpretation and generation of hand gestures13:44
Relation between form and meaning (Kendon 2004)13:55
Co-reference and gestures14:19
Untitled15:54
Classifying the form of iconic hand gestures from the linguistic categorization of cooccurring verbs 17:03
Factors influencing gesture form18:27
(Lis 2012) Extends and operationalizes19:12
Speech annotation19:45
Gesture annotation19:53
The data - 119:59
Classification of Handshape - 120:53
Classification of Handshape - 221:19
Classification of Direction21:23
Predicting the Viewpoint from the linguistic information21:49
Predicting the Viewpoint from gesture’s form21:52
Conclusions21:55
Prosody, gestures and dialogue acts related to feedback words22:47
Aims - 122:55
Annotations24:08
Classification 1: dialogue acts and prosody24:48
Classification 2: prosody + gestures25:04
Test influence of speech pauses and gestures on successful response from audience25:44
Prediction of Audience Response in Humorous Discourse by Barack Obama25:49
Aims - 226:47
Audience response27:22
The data - 227:44
201128:13
201629:08
The annotations29:35
Gestural features30:57
Data analysis31:05
Predicting audience response32:18
Multimodal unit32:47
Data33:04
Discussion33:23
Concluding 34:14