Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Phrase breaks in everyday conversations from sociolinguistic perspective. / Bogdanova-Beglarian, Natalia.
Language, Music and Computing - Second International Workshop, LMAC 2017, Revised Selected Papers. ред. / Olga Mitrenina; Asya Pereltsvaig; Polina Eismont. Springer Nature, 2019. стр. 122-130 (Communications in Computer and Information Science; Том 943).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Phrase breaks in everyday conversations from sociolinguistic perspective
AU - Bogdanova-Beglarian, Natalia
N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - This study was made on the base of the ORD corpus of everyday spoken Russian, containing the rich collection of audio recordings made in real-life settings. Speech transcripts of the ORD corpus imply mandatory indication of word and phrase breaks, self-correction, hesitations, fillers and other irregularities of spoken discourse. The paper deals with speech breaks in oral discourse (word breaks, phrase breaks, intraphrasal pauses, etc.). Quantitative analysis performed on the subcorpus of 187 600 tokens has shown that 7,56% of all phrases in everyday communication are not finished. If word breaks can be referred to word search/choice or self-correction, phrase breaks affect the text level and result in ragged, rough, and poorly structured syntactic sequence. Sociolinguistic analysis has revealed that phrase breaks are more frequent in men’s speech than in the women’s (8.16 vs. 7,12%). Seniors have significantly more speech breaks (10,76%) than children (6,78%), youth (6,08%) and middle-aged people (7,37%). As for status groups of speakers, the highest share of breaks is found in speech of unemployed and retired people (10,75%), whereas the lowest percentage of breaks is observed in speech of managers (4,50%) who care, apparently, more about their speech quality than others.
AB - This study was made on the base of the ORD corpus of everyday spoken Russian, containing the rich collection of audio recordings made in real-life settings. Speech transcripts of the ORD corpus imply mandatory indication of word and phrase breaks, self-correction, hesitations, fillers and other irregularities of spoken discourse. The paper deals with speech breaks in oral discourse (word breaks, phrase breaks, intraphrasal pauses, etc.). Quantitative analysis performed on the subcorpus of 187 600 tokens has shown that 7,56% of all phrases in everyday communication are not finished. If word breaks can be referred to word search/choice or self-correction, phrase breaks affect the text level and result in ragged, rough, and poorly structured syntactic sequence. Sociolinguistic analysis has revealed that phrase breaks are more frequent in men’s speech than in the women’s (8.16 vs. 7,12%). Seniors have significantly more speech breaks (10,76%) than children (6,78%), youth (6,08%) and middle-aged people (7,37%). As for status groups of speakers, the highest share of breaks is found in speech of unemployed and retired people (10,75%), whereas the lowest percentage of breaks is observed in speech of managers (4,50%) who care, apparently, more about their speech quality than others.
KW - Phrase breaks
KW - Sociophonetics
KW - Speech disfluencies
KW - Spoken Russian
UR - http://www.scopus.com/inward/record.url?scp=85059807821&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-05594-3_10
DO - 10.1007/978-3-030-05594-3_10
M3 - Conference contribution
AN - SCOPUS:85059807821
SN - 9783030055936
T3 - Communications in Computer and Information Science
SP - 122
EP - 130
BT - Language, Music and Computing - Second International Workshop, LMAC 2017, Revised Selected Papers
A2 - Mitrenina, Olga
A2 - Pereltsvaig, Asya
A2 - Eismont, Polina
PB - Springer Nature
T2 - 2nd International Workshop on Language, Music and Computing, LMAC 2017
Y2 - 17 April 2017 through 19 April 2017
ER -
ID: 99403280