TY - GEN

T1 - Pragmatic markers distribution in russian everyday speech

T2 - 21ST INTERNATIONAL CONFERENCE ON SPEECH AND COMPUTER

AU - Bogdanova-Beglarian, Natalia

AU - Sherstinova, Tatiana

AU - Blinova, Olga

AU - Martynenko, Gregory

N1 - Conference code: 21

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

UR - http://www.scopus.com/inward/record.url?scp=85071481696&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/pragmatic-markers-distribution-russian-everyday-speech-frequency-lists-other-statistics-discourse-mo

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 Nature

Y2 - 20 August 2019 through 25 August 2019

ER -