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Pragmatic Markers of Russian Everyday Speech : Invariants in Dialogue and Monologue. / Bogdanova-Beglarian, Natalia; Blinova, Olga; Sherstinova, Tatiana; Sulimova, Tatiana.

Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings. ed. / Alexey Karpov; Rodmonga Potapova. Springer Nature, 2021. p. 81-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12997 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Bogdanova-Beglarian, N, Blinova, O, Sherstinova, T & Sulimova, T 2021, Pragmatic Markers of Russian Everyday Speech: Invariants in Dialogue and Monologue. in A Karpov & R Potapova (eds), Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12997 LNAI, Springer Nature, pp. 81-90, 23rd International Conference on Speech and Computer, SPECOM 2021, Virtual, Online, Russian Federation, 27/09/21. https://doi.org/10.1007/978-3-030-87802-3_8

APA

Bogdanova-Beglarian, N., Blinova, O., Sherstinova, T., & Sulimova, T. (2021). Pragmatic Markers of Russian Everyday Speech: Invariants in Dialogue and Monologue. In A. Karpov, & R. Potapova (Eds.), Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings (pp. 81-90). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12997 LNAI). Springer Nature. https://doi.org/10.1007/978-3-030-87802-3_8

Vancouver

Bogdanova-Beglarian N, Blinova O, Sherstinova T, Sulimova T. Pragmatic Markers of Russian Everyday Speech: Invariants in Dialogue and Monologue. In Karpov A, Potapova R, editors, Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings. Springer Nature. 2021. p. 81-90. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-87802-3_8

Author

Bogdanova-Beglarian, Natalia ; Blinova, Olga ; Sherstinova, Tatiana ; Sulimova, Tatiana. / Pragmatic Markers of Russian Everyday Speech : Invariants in Dialogue and Monologue. Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings. editor / Alexey Karpov ; Rodmonga Potapova. Springer Nature, 2021. pp. 81-90 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{d118bd381df54722ac4429e5a73fd357,
title = "Pragmatic Markers of Russian Everyday Speech: Invariants in Dialogue and Monologue",
abstract = "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{\textquoteright}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{\textquoteright}o) or dialogues ({\textquoteleft}xeno{\textquoteright}-markers like takoj, grit; and meta-communicative markers vidish{\textquoteright}, (ja) ne znaju). Special attention is paid to PMs usage both in different communication situations and in speech of different sociolects.",
keywords = "Dialogue, Invariants, Monologue, Pragmatic marker, Russian everyday speech, Speech corpus",
author = "Natalia Bogdanova-Beglarian and Olga Blinova and Tatiana Sherstinova and Tatiana Sulimova",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 23rd International Conference on Speech and Computer, SPECOM 2021 ; Conference date: 27-09-2021 Through 30-09-2021",
year = "2021",
doi = "10.1007/978-3-030-87802-3_8",
language = "English",
isbn = "9783030878016",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "81--90",
editor = "Alexey Karpov and Rodmonga Potapova",
booktitle = "Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings",
address = "Germany",
url = "http://specom.nw.ru/2021/",

}

RIS

TY - GEN

T1 - Pragmatic Markers of Russian Everyday Speech

T2 - 23rd International Conference on Speech and Computer, SPECOM 2021

AU - Bogdanova-Beglarian, Natalia

AU - Blinova, Olga

AU - Sherstinova, Tatiana

AU - Sulimova, Tatiana

N1 - Conference code: 23

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Dialogue

KW - Invariants

KW - Monologue

KW - Pragmatic marker

KW - Russian everyday speech

KW - Speech corpus

UR - http://www.scopus.com/inward/record.url?scp=85116344059&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/3e14c44d-c0ec-3b18-a6b4-50b9c08a6af6/

U2 - 10.1007/978-3-030-87802-3_8

DO - 10.1007/978-3-030-87802-3_8

M3 - Conference contribution

AN - SCOPUS:85116344059

SN - 9783030878016

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 81

EP - 90

BT - Speech and Computer - 23rd International Conference, SPECOM 2021, Proceedings

A2 - Karpov, Alexey

A2 - Potapova, Rodmonga

PB - Springer Nature

Y2 - 27 September 2021 through 30 September 2021

ER -

ID: 87683837