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.

Original languageEnglish
Title of host publicationSpeech and Computer - 23rd International Conference, SPECOM 2021, Proceedings
EditorsAlexey Karpov, Rodmonga Potapova
PublisherSpringer Nature
Pages81-90
Number of pages10
ISBN (Print)9783030878016
DOIs
StatePublished - 2021
Event23rd International Conference on Speech and Computer, SPECOM 2021 - Virtual, Online, Russian Federation
Duration: 27 Sep 202130 Sep 2021
Conference number: 23
http://specom.nw.ru/2021/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12997 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Speech and Computer, SPECOM 2021
Abbreviated titleSPECOM 2021
Country/TerritoryRussian Federation
CityVirtual, Online
Period27/09/2130/09/21
Internet address

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • Dialogue, Invariants, Monologue, Pragmatic marker, Russian everyday speech, Speech corpus

ID: 87683837