DOI

The paper presents the distribution of pragmatic markers (PM) of Russian everyday speech in two types of discourse: dialogical and monologic. PMs are an essential part of any oral discourse, therefore, quantitative data on their distribution are necessary for solving both theoretical and practical tasks related to studies of speech communication, as well as for translation and teaching Russian as a foreign language. The article describes samples from two speech corpora: “One Speaker’s Day” (ORD corpus, consisting of mostly dialogue speech, the annotated subcorpus containing 321 504 tokens) and “Balanced Annotated Text Library” (SAT corpus, which consists only of monologues, the annotated subcorpus containing 50 128 tokens). Besides, it presents statistical data of PM distributions obtained for 60 basic (invariant) markers, PMs common in both dialogue and monologue (for example, hesitative marker such as vot, tam, tak) are identified, as well as those that are more typical for monologues (boundary markers like znachit, nu vot, vs’o) or dialogues (‘xeno’-markers like takoj, grit; and meta-communicative markers vidish’, (ja) ne znaju). Special attention is paid to PMs usage both in different communication situations and in speech of different sociolects.

Язык оригиналаанглийский
Название основной публикацииSpeech and Computer - 23rd International Conference, SPECOM 2021, Proceedings
РедакторыAlexey Karpov, Rodmonga Potapova
ИздательSpringer Nature
Страницы81-90
Число страниц10
ISBN (печатное издание)9783030878016
DOI
СостояниеОпубликовано - 2021
Событие23rd International Conference on Speech and Computer - Virtual, Online, Российская Федерация
Продолжительность: 27 сен 202130 сен 2021
Номер конференции: 23
http://specom.nw.ru/2021/

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том12997 LNAI
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция23rd International Conference on Speech and Computer
Сокращенное названиеSPECOM 2021
Страна/TерриторияРоссийская Федерация
ГородVirtual, Online
Период27/09/2130/09/21
Сайт в сети Internet

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 87683837