2014
DOI: 10.1051/shsconf/20140801211
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Unités discursives de base et leur périphérie gauche dans LOCAS-F, un corpus oral multigenres annoté

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Cited by 12 publications
(11 citation statements)
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“…Potential samples were extracted from the LOCAS-F corpus [13], a multi-genre corpus of spoken French. The selected samples were monological units, 20-60 seconds long and between two pauses of at least 250 ms.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Potential samples were extracted from the LOCAS-F corpus [13], a multi-genre corpus of spoken French. The selected samples were monological units, 20-60 seconds long and between two pauses of at least 250 ms.…”
Section: Methodsmentioning
confidence: 99%
“…Many spoken language corpora include some sort of prosodic segmentation into "intonation units" or annotation of "prosodic boundaries". Such annotations include the "tone units" in the London-Lund Corpus of Spoken English [8]; "intonation units" in the Santa Barbara Corpus of American English [9]; "accentuation units" and "intonation units" in the Aix-Marsec Corpus of Spoken British English [10]; "accentuation units" and "intonation units" based on the Autosegmental-Metrical framework in the Rhapsodie Corpus [11] and in the C-PROM-PFC Corpus [12]; and two levels of prosodic boundaries marked in the LOCAS-F Corpus [13]. All of these annotations are presumably off-line expert annotations.…”
Section: Related Workmentioning
confidence: 99%
“…For this study, we took a sample of conversational French from the LOCAS-F corpus (Degand et al, 2014). Specifically, we used three formal and three informal conversations, amounting to 7,545 words in the corpus (about 25 minutes of recordings).…”
Section: Data Used In This Studymentioning
confidence: 99%
“…We consider four conditions for repeated segments: contiguous, with a filled pause, with a silent pause and no repetition. The 40 natural stimuli were extracted from C-HUMOUR (Grosman, 2016), LOCAS-F (Degand, Martin & Simon, 2014), C-Phonogenre (Goldman, Prsir & Auchlin, 2014), Rhapsodie (Kahane & Peitrandrea, 2019) and DRIVE (Christodoulides, 2016).…”
Section: Audio Stimuli Selection and Processingmentioning
confidence: 99%