DOI

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.

Язык оригиналаанглийский
Название основной публикацииLanguage, Music and Computing - Second International Workshop, LMAC 2017, Revised Selected Papers
РедакторыOlga Mitrenina, Asya Pereltsvaig, Polina Eismont
ИздательSpringer Nature
Страницы122-130
Число страниц9
ISBN (печатное издание)9783030055936
DOI
СостояниеОпубликовано - 2019
Событие2nd International Workshop on Language, Music and Computing, LMAC 2017 - St. Petersburg, Российская Федерация
Продолжительность: 17 апр 201719 апр 2017

Серия публикаций

НазваниеCommunications in Computer and Information Science
Том943
ISSN (печатное издание)1865-0929

конференция

конференция2nd International Workshop on Language, Music and Computing, LMAC 2017
Страна/TерриторияРоссийская Федерация
ГородSt. Petersburg
Период17/04/1719/04/17

    Предметные области Scopus

  • Компьютерные науки (все)
  • Математика (все)

ID: 99403280