This paper computationalizes two linguistic concepts, contrast and focus, for the extraction of pragmatic and semantic salience from spontaneous speech.
This paper computationalizes two linguistic concepts, contrast and focus, for the extraction of pragmatic and semantic salience from spontaneous speech.
The feasibility of automatic contrast labeling in spontaneous spoken speech is investigated by training and evaluating on the Switchboard corpus a novel ...
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This study computationalizes two linguistic concepts, contrast and focus, and applies them to the robust understanding of spontaneous speech in an ...
This paper computationalizes two linguistic concepts, contrast and focus, for the extraction of pragmatic and semantic salience from spontaneous speech.
This paper describes a recently completed common resource for the study of spoken discourse, the NXT-format Switchboard Corpus.
Sep 14, 2014 · This paper addresses the problem of automatically labeling focus word pairs in spontaneous spoken English, where a.
Automatic scoring of non-native spontaneous speech in tests of spoken English ... Extraction of pragmatic and semantic salience from spontaneous spoken English.
Extraction of prag- matic and semantic salience from spontaneous spoken English. Speech Communication. 48(3–4). 437–462. doi:10.1016/j.specom.2005.07.007 ...
Hasegawa-Johnson, and S.E. Levinson,. “Exraction of pragmatic and semantic salience from spontaneous spoken english,” Speech Communication, vol. 48, 2006.