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Thematic Diversity of Everyday Russian Discourse: a Case Study based on the ORD corpus. / Akinshina, Eleonora ; Sherstinova, Tatiana .
Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings. ed. / S.R. Mahadeva Prasanna; Alexey Karpov; K. Samudravijaya; Shyam S. Agrawal. Springer Nature, 2022. p. 1-9 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13721 LNAI).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Akinshina, E
& Sherstinova, T 2022,
Thematic Diversity of Everyday Russian Discourse: a Case Study based on the ORD corpus. in SRM Prasanna, A Karpov, K Samudravijaya & SS Agrawal (eds),
Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13721 LNAI, Springer Nature, pp. 1-9, 24th International Conference on Speech and Computer SPECOM 2022, Gurugram, India,
14/11/22.
https://doi.org/10.1007/978-3-031-20980-2_1APA
Akinshina, E.
, & Sherstinova, T. (2022).
Thematic Diversity of Everyday Russian Discourse: a Case Study based on the ORD corpus. In S. R. M. Prasanna, A. Karpov, K. Samudravijaya, & S. S. Agrawal (Eds.),
Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings (pp. 1-9). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13721 LNAI). Springer Nature.
https://doi.org/10.1007/978-3-031-20980-2_1Vancouver
Akinshina E
, Sherstinova T.
Thematic Diversity of Everyday Russian Discourse: a Case Study based on the ORD corpus. In Prasanna SRM, Karpov A, Samudravijaya K, Agrawal SS, editors, Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings. Springer Nature. 2022. p. 1-9. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-031-20980-2_1Author
Akinshina, Eleonora
; Sherstinova, Tatiana . /
Thematic Diversity of Everyday Russian Discourse: a Case Study based on the ORD corpus. Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings: 24th International Conference, SPECOM 2022, Gurugram, India, November 14–16, 2022, Proceedings. editor / S.R. Mahadeva Prasanna ; Alexey Karpov ; K. Samudravijaya ; Shyam S. Agrawal. Springer Nature, 2022. pp. 1-9 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{56fb08a4c4864d548fb479d27cada3e1,
title = "Thematic Diversity of Everyday Russian Discourse: a Case Study based on the ORD corpus",
abstract = "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.",
keywords = "Corpus linguistics, Dialogue studies, Everyday communication, Pragmatics, Russian everyday speech, Thematic diversity",
author = "Eleonora Akinshina and Tatiana Sherstinova",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; null ; Conference date: 14-11-2022 Through 16-11-2022",
year = "2022",
doi = "10.1007/978-3-031-20980-2_1",
language = "English",
isbn = "978-3-031-20979-6",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "1--9",
editor = "Prasanna, {S.R. Mahadeva} and Alexey Karpov and K. Samudravijaya and Agrawal, {Shyam S.}",
booktitle = "Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings",
address = "Germany",
url = "https://www.specom.co.in",
}
RIS
TY - GEN
T1 - Thematic Diversity of Everyday Russian Discourse: a Case Study based on the ORD corpus
AU - Akinshina, Eleonora
AU - Sherstinova, Tatiana
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Corpus linguistics
KW - Dialogue studies
KW - Everyday communication
KW - Pragmatics
KW - Russian everyday speech
KW - Thematic diversity
UR - https://link.springer.com/book/10.1007/978-3-031-20980-2#bibliographic-information
UR - http://www.scopus.com/inward/record.url?scp=85142719689&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/93d2495c-dcda-34a0-9646-c54e7c3737bf/
U2 - 10.1007/978-3-031-20980-2_1
DO - 10.1007/978-3-031-20980-2_1
M3 - Conference contribution
SN - 978-3-031-20979-6
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1
EP - 9
BT - Speech and Computer - 24th International Conference, SPECOM 2022, Proceedings
A2 - Prasanna, S.R. Mahadeva
A2 - Karpov, Alexey
A2 - Samudravijaya, K.
A2 - Agrawal, Shyam S.
PB - Springer Nature
Y2 - 14 November 2022 through 16 November 2022
ER -
