Abstract

Pragmatic markers (PMs) mainly have an influence on a pragmatic aspect of communication and are mostly devoid of their own referential meaning. These markers are indispensable elements of oral communication in any language. The article suggests a typology of pragmatic markers for Russian everyday speech that includes 10 basic types. The frequency study for the use of various marker types is carried out on the basis of two representative speech corpora - a corpus of Russian Everyday Speech 'One Speech Day' (ORD) and 'Balanced Annotated Collection of Texts' (SAT). Preliminary data about PM distribution in dialogues and monologues was obtained and the article describes the main difficulties one comes across while annotating PMs according to our methodology. The main requirements for creating a Dictionary of Pragmatic Markers are enumerated. The paper indicates the scope of pragmatic markers and further prospects for their use, which includes (but not limited to) datasets labelling for voice assistants and speech recognition systems development.

Translated title of the contributionПрагматические маркеры русской повседневной речи: уточненная типология и корпусное исследование
Original languageEnglish
Title of host publicationProceedings of the 25th Conference of Open Innovations Association FRUCT, FRUCT 2019
EditorsValtteri Niemi, Tatiana Tyutina
Place of PublicationHelsinki
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages57-63
ISBN (Electronic)9789526924403
DOIs
Publication statusPublished - Nov 2019
Event25th Conference of Open Innovations Association FRUCT, FRUCT 2019 - Helsinki
Duration: 5 Nov 20198 Nov 2019

Conference

Conference25th Conference of Open Innovations Association FRUCT, FRUCT 2019
CountryFinland
CityHelsinki
Period5/11/198/11/19

Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Pragmatic Markers of Russian Everyday Speech: the Revised Typology and Corpus-Based Study'. Together they form a unique fingerprint.

Cite this