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DOI

The research presented in the paper has been conducted in the framework of the large sociolinguistic project aimed at describing everyday spoken Russian and analyzing the special characteristics of its usage by different social groups of speakers. The research is based on the material of the ORD corpus containing long-term audio recordings of everyday communication. The aim of the given exploratory study is to reveal the linguistic parameters, in terms of which the difference in speech between different social groups is the most evident. An exploratory subcorpus, consisting of audio fragments of spoken communication of 12 respondents (6 men and 6 women, 4 representatives for each age group, and representatives of different professional and status groups) with the total duration of 106 min and of similar communication settings, was created and fully annotated. The quantitative description of a number of linguistic parameters on phonetic, lexical, morphological, and syntax levels in each social group was made.
Язык оригиналаанглийский
Название основной публикацииSpeech and Computer
Подзаголовок основной публикации18th International Conference, SPECOM 2016, Budapest, Hungary, August 23-27, 2016, Proceedings
Место публикацииCham
ИздательSpringer Nature
Страницы100-107
ISBN (электронное издание)978-3-319-43958-7
ISBN (печатное издание)978-3-319-43957-0
DOI
СостояниеОпубликовано - 2016
Событие18 International Conference on Speech and Computer - Budapest, Hungary, Budapest, Венгрия
Продолжительность: 23 авг 201627 авг 2016
Номер конференции: 18
http://www.specom2016.hte.hu/

Серия публикаций

НазваниеLecture Notes in Computer Science
ИздательSpringer Nature
Том9811
ISSN (печатное издание)0302-9743

конференция

конференция18 International Conference on Speech and Computer
Сокращенное названиеSpecom 2016
Страна/TерриторияВенгрия
ГородBudapest
Период23/08/1627/08/16
Сайт в сети Internet

    Предметные области Scopus

  • Языки и лингвистика
  • Информационные системы

    Области исследований

  • Russian everyday speech, Sociolinguistics, Phonetics, Vocabulary, Syntax, Speech corpus

ID: 71300840