Pragmatic markers distribution in russian everyday speech: Frequency lists and other statistics for discourse modeling

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

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Pragmatic markers (PMs) are discourse units (words and multiword expressions) with a weakened referential meaning, which perform a variety of pragmatic tasks. For example, in English the common PMs are “well”, “you know”, “I think”, and many others. PMs are integral elements of spoken discourse in every language. According to the results obtained from the ORD corpus of everyday Russian, their share can reach up to 6% of the total number of words in speech of individual speakers. More than that, in some speech fragments, PMs may even exceed the share of significant units (i.e., standard words). However, despite their frequency and usualness, PMs are still poorly understood. Current NLP and discourse modeling systems lack information on PMs distribution and usage, this fact leads to noticeable shortcomings in work of these systems when they face spontaneous speech of everyday spoken discourse. In this paper we present top frequency lists of PMs for Russian dialogue and monologue spoken speech in general, and also for separate sociological groups of informants (by gender and by age). Our current list of PMs for Russian contains 450 units which are the variants of 50 main structural types. Besides, we consider the most frequent functions of PMs in spoken Russian. The presented quantitative data may be used for improvement of NPL and discourse modeling systems.

Язык оригиналаанглийский
Название основной публикацииSpeech and Computer - 21st International Conference, SPECOM 2019, Proceedings
РедакторыAlbert Ali Salah, Alexey Karpov, Rodmonga Potapova
ИздательSpringer
Страницы433-443
Число страниц11
Том11658
ISBN (электронное издание)9783030260613
ISBN (печатное издание)9783030260606
DOI
СостояниеОпубликовано - 15 авг 2019
Событие21st International Conference on Speech and Computer, SPECOM 2019 - Istanbul, Турция
Продолжительность: 20 авг 201925 авг 2019

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том11658 LNAI
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Конференция

Конференция21st International Conference on Speech and Computer, SPECOM 2019
СтранаТурция
ГородIstanbul
Период20/08/1925/08/19

Отпечаток

Statistics
Modeling
System Modeling
Unit
Information systems
Exceed
Fragment
Discourse
Speech

Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

Цитировать

Bogdanova-Beglarian, N., Sherstinova, T., Blinova, O., & Martynenko, G. (2019). Pragmatic markers distribution in russian everyday speech: Frequency lists and other statistics for discourse modeling. В A. A. Salah, A. Karpov, & R. Potapova (Ред.), Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings (Том 11658, стр. 433-443). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11658 LNAI). Springer. https://doi.org/10.1007/978-3-030-26061-3_44
Bogdanova-Beglarian, Natalia ; Sherstinova, Tatiana ; Blinova, Olga ; Martynenko, Gregory. / Pragmatic markers distribution in russian everyday speech : Frequency lists and other statistics for discourse modeling. Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings. редактор / Albert Ali Salah ; Alexey Karpov ; Rodmonga Potapova. Том 11658 Springer, 2019. стр. 433-443 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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title = "Pragmatic markers distribution in russian everyday speech: Frequency lists and other statistics for discourse modeling",
abstract = "Pragmatic markers (PMs) are discourse units (words and multiword expressions) with a weakened referential meaning, which perform a variety of pragmatic tasks. For example, in English the common PMs are “well”, “you know”, “I think”, and many others. PMs are integral elements of spoken discourse in every language. According to the results obtained from the ORD corpus of everyday Russian, their share can reach up to 6{\%} of the total number of words in speech of individual speakers. More than that, in some speech fragments, PMs may even exceed the share of significant units (i.e., standard words). However, despite their frequency and usualness, PMs are still poorly understood. Current NLP and discourse modeling systems lack information on PMs distribution and usage, this fact leads to noticeable shortcomings in work of these systems when they face spontaneous speech of everyday spoken discourse. In this paper we present top frequency lists of PMs for Russian dialogue and monologue spoken speech in general, and also for separate sociological groups of informants (by gender and by age). Our current list of PMs for Russian contains 450 units which are the variants of 50 main structural types. Besides, we consider the most frequent functions of PMs in spoken Russian. The presented quantitative data may be used for improvement of NPL and discourse modeling systems.",
keywords = "Everyday discourse, Frequency lists, NLP, Pragmatic markers, Pragmatics, Sociolinguistics, Speech corpus, Spoken dialogue, Spoken monologue, Spoken Russian, Statistics",
author = "Natalia Bogdanova-Beglarian and Tatiana Sherstinova and Olga Blinova and Gregory Martynenko",
note = "Bogdanova-Beglarian, N., Sherstinova. T., Blinova, O., Martynenko, G. Pragmatic Markers Distribution in Russian Everyday Speech: Frequency Lists and Other Statistics for Discourse Modeling // Speech and Computer. 21st International Conference, SPECOM 2019, Istanbul, Turkey, August 20–25, 2019, Proceedings / Ed. by A. Ali Salah, A. Karpov, R. Potapova. Lecture Notes in Computer Science book series (LNCS, vol. 11658). – Pp. 433-443.",
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Bogdanova-Beglarian, N, Sherstinova, T, Blinova, O & Martynenko, G 2019, Pragmatic markers distribution in russian everyday speech: Frequency lists and other statistics for discourse modeling. в AA Salah, A Karpov & R Potapova (ред.), Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings. том. 11658, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), том. 11658 LNAI, Springer, стр. 433-443, Istanbul, Турция, 20/08/19. https://doi.org/10.1007/978-3-030-26061-3_44

Pragmatic markers distribution in russian everyday speech : Frequency lists and other statistics for discourse modeling. / Bogdanova-Beglarian, Natalia; Sherstinova, Tatiana; Blinova, Olga; Martynenko, Gregory.

Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings. ред. / Albert Ali Salah; Alexey Karpov; Rodmonga Potapova. Том 11658 Springer, 2019. стр. 433-443 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11658 LNAI).

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

TY - GEN

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T2 - Frequency lists and other statistics for discourse modeling

AU - Bogdanova-Beglarian, Natalia

AU - Sherstinova, Tatiana

AU - Blinova, Olga

AU - Martynenko, Gregory

N1 - Bogdanova-Beglarian, N., Sherstinova. T., Blinova, O., Martynenko, G. Pragmatic Markers Distribution in Russian Everyday Speech: Frequency Lists and Other Statistics for Discourse Modeling // Speech and Computer. 21st International Conference, SPECOM 2019, Istanbul, Turkey, August 20–25, 2019, Proceedings / Ed. by A. Ali Salah, A. Karpov, R. Potapova. Lecture Notes in Computer Science book series (LNCS, vol. 11658). – Pp. 433-443.

PY - 2019/8/15

Y1 - 2019/8/15

N2 - Pragmatic markers (PMs) are discourse units (words and multiword expressions) with a weakened referential meaning, which perform a variety of pragmatic tasks. For example, in English the common PMs are “well”, “you know”, “I think”, and many others. PMs are integral elements of spoken discourse in every language. According to the results obtained from the ORD corpus of everyday Russian, their share can reach up to 6% of the total number of words in speech of individual speakers. More than that, in some speech fragments, PMs may even exceed the share of significant units (i.e., standard words). However, despite their frequency and usualness, PMs are still poorly understood. Current NLP and discourse modeling systems lack information on PMs distribution and usage, this fact leads to noticeable shortcomings in work of these systems when they face spontaneous speech of everyday spoken discourse. In this paper we present top frequency lists of PMs for Russian dialogue and monologue spoken speech in general, and also for separate sociological groups of informants (by gender and by age). Our current list of PMs for Russian contains 450 units which are the variants of 50 main structural types. Besides, we consider the most frequent functions of PMs in spoken Russian. The presented quantitative data may be used for improvement of NPL and discourse modeling systems.

AB - Pragmatic markers (PMs) are discourse units (words and multiword expressions) with a weakened referential meaning, which perform a variety of pragmatic tasks. For example, in English the common PMs are “well”, “you know”, “I think”, and many others. PMs are integral elements of spoken discourse in every language. According to the results obtained from the ORD corpus of everyday Russian, their share can reach up to 6% of the total number of words in speech of individual speakers. More than that, in some speech fragments, PMs may even exceed the share of significant units (i.e., standard words). However, despite their frequency and usualness, PMs are still poorly understood. Current NLP and discourse modeling systems lack information on PMs distribution and usage, this fact leads to noticeable shortcomings in work of these systems when they face spontaneous speech of everyday spoken discourse. In this paper we present top frequency lists of PMs for Russian dialogue and monologue spoken speech in general, and also for separate sociological groups of informants (by gender and by age). Our current list of PMs for Russian contains 450 units which are the variants of 50 main structural types. Besides, we consider the most frequent functions of PMs in spoken Russian. The presented quantitative data may be used for improvement of NPL and discourse modeling systems.

KW - Everyday discourse

KW - Frequency lists

KW - NLP

KW - Pragmatic markers

KW - Pragmatics

KW - Sociolinguistics

KW - Speech corpus

KW - Spoken dialogue

KW - Spoken monologue

KW - Spoken Russian

KW - Statistics

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U2 - 10.1007/978-3-030-26061-3_44

DO - 10.1007/978-3-030-26061-3_44

M3 - Conference contribution

AN - SCOPUS:85071481696

SN - 9783030260606

VL - 11658

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

SP - 433

EP - 443

BT - Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings

A2 - Salah, Albert Ali

A2 - Karpov, Alexey

A2 - Potapova, Rodmonga

PB - Springer

ER -

Bogdanova-Beglarian N, Sherstinova T, Blinova O, Martynenko G. Pragmatic markers distribution in russian everyday speech: Frequency lists and other statistics for discourse modeling. В Salah AA, Karpov A, Potapova R, редакторы, Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings. Том 11658. Springer. 2019. стр. 433-443. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-26061-3_44