The paper is devoted to the study of thematic diversity of Russian oral discourse. It examines and analyzes the real-life episodes taken from the corpus of everyday spoken communication “One Day of Speech”. In the course of the study the main hyper-themes of Russian everyday communication have been identified. Each hyper-theme consists of several micro-themes. Based on these empiric data, the frequency of occurrence of various hyper-themes in everyday communication was obtained. For example, it was found that the most frequent themes of the empirical sample turned out to be “work”, “past and future”, “health”, and “household issues”. Statistical data on the duration of conversations on each particular theme have been obtained as well. The results of the study can be used in further studies of Russian oral discourse and for solving a number of practical tasks related with spontaneous conversation understanding, spoken speech topic modelling, as well as creating chatbots for everyday casual conversations.
Original languageEnglish
Title of host publicationSpeech and Computer - 24th International Conference, SPECOM 2022, Proceedings
Subtitle of host publication24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings
EditorsS.R. Mahadeva Prasanna, Alexey Karpov, K. Samudravijaya, Shyam S. Agrawal
PublisherSpringer Nature
Pages1-9
Number of pages9
ISBN (Electronic)978-3-031-20980-2
ISBN (Print)978-3-031-20979-6
DOIs
StatePublished - 2022
Event24th International Conference on Speech and Computer SPECOM 2022 - Gurugram, India
Duration: 14 Nov 202216 Nov 2022
https://www.specom.co.in

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13721 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Speech and Computer SPECOM 2022
Abbreviated titleSPECOM 2022
Country/TerritoryIndia
CityGurugram
Period14/11/2216/11/22
Internet address

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • Corpus linguistics, Dialogue studies, Everyday communication, Pragmatics, Russian everyday speech, Thematic diversity

ID: 100497647