TY - GEN

T1 - Pragmatic Markers in Dialogue and Monologue

T2 - 22nd International Conference on Speech and Computer

AU - Bogdanova-Beglarian, Natalia

AU - Blinova, Olga

AU - Sherstinova, Tatiana

AU - Gorbunova, Daria

AU - Zaides, Kristina

AU - Popova, Tatiana

N1 - Funding Information: Acknowledgements. The presented research was supported by the Russian Science Foundation, project #18-18-00242 “Pragmatic Markers in Russian Everyday Speech”. Publisher Copyright: © 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020

Y1 - 2020

N2 - The paper deals with new research findings on pragmatic markers (PMs) use in spoken Russian. The study is based on two speech corpora: “One Day of Speech” (ORD, which contains mainly dialogues), and “Balanced Annotated Collection of Texts” (SAT, which contains only monologues). We explored two annotated subcorpora consisting of 321,504 tokens and 50,128 tokens respectively. The main results are as follows: 1) the extended frequency lists of PMs were formed; 2) PMs, that are frequently used in both types of speech, were identified (e.g., hesitation markers like tam ‘there’, tak ‘that way’), 3) the list of PMs, used primarily in monologue speech, was compiled (in this list there are such PMs as boundary ones znachit ‘well’, nu vot ‘well er’, vs’o ‘that’s all’); 4) the list of PMs, used primarily in dialogues, was made (among such PMs are, for example, “xeno”-markers takoj ‘like’, grit ‘says’ and meta-communicative markers like vidish’ ‘you know’, (ja) ne znaju ‘don’t know’). Particular attention was paid to the variability of pragmatic markers, as well as to complex cases of their identification. Finally, the most common models of pragmatic markers formation (for single-word and multi-word PMs) were revealed.

AB - The paper deals with new research findings on pragmatic markers (PMs) use in spoken Russian. The study is based on two speech corpora: “One Day of Speech” (ORD, which contains mainly dialogues), and “Balanced Annotated Collection of Texts” (SAT, which contains only monologues). We explored two annotated subcorpora consisting of 321,504 tokens and 50,128 tokens respectively. The main results are as follows: 1) the extended frequency lists of PMs were formed; 2) PMs, that are frequently used in both types of speech, were identified (e.g., hesitation markers like tam ‘there’, tak ‘that way’), 3) the list of PMs, used primarily in monologue speech, was compiled (in this list there are such PMs as boundary ones znachit ‘well’, nu vot ‘well er’, vs’o ‘that’s all’); 4) the list of PMs, used primarily in dialogues, was made (among such PMs are, for example, “xeno”-markers takoj ‘like’, grit ‘says’ and meta-communicative markers like vidish’ ‘you know’, (ja) ne znaju ‘don’t know’). Particular attention was paid to the variability of pragmatic markers, as well as to complex cases of their identification. Finally, the most common models of pragmatic markers formation (for single-word and multi-word PMs) were revealed.

KW - : Russian Everyday Speech, Speech Corpus, Pragmatic Marker, Corpus Annotation, Monologue, Dialogue

KW - Russian everyday speech

KW - Speech corpus

KW - Pragmatic marker

KW - Corpus annotation

KW - Monologue

KW - Dialogue

UR - http://www.scopus.com/inward/record.url?scp=85092942126&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-60276-5_7

DO - 10.1007/978-3-030-60276-5_7

M3 - Conference contribution

AN - SCOPUS:85092942126

SN - 978-3-030-60275-8

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

SP - 68

EP - 78

BT - Speech and Computer

A2 - Karpov, Alexey

A2 - Potapova, Rodmonga

PB - Springer Nature

CY - Cham

Y2 - 7 October 2020 through 9 October 2020

ER -