The article provides an attempt at systematization of the elements of oral discourse which are not related to the text content but are nonetheless very frequent in everyday speech and thus essential for its understanding and decoding. Nonverbal elements can be tracked almost in any type of spoken speech or any given speaker. Therefore it is essential to have a comprehensive classification which will enable researchers to deal with spoken speech data with more precision. Such elements include some filled hesitation pauses such as [ə:], [ə:m], [i:], [n], etc., nonverbal vocalizations like clicking, lip-smacking and squelching, as well as a number of other paralinguistic elements (voice qualifications such as laughing, sighing, coughing and so on). The aim or the paper is to list various nonverbal elements in The Speech Corpus of the Russian Language (amounting to 1280 hours of recorded everyday Russian speech of more than 250 respondents and about 1000 of their interlocutors) and categorize them with regard to their pragmatic meaning. Nonverbal vocalizations usually tend to fill the hesitation pauses marking the so-called points of failure. Moreover, they often help to structure a text being produced and sometimes perform several functions simultaneously. While being hesitative, can also perform search functions (when a speaker searches his mind for a word, an expression or an idea to continue or complete an utterance), be a reflexive marker or as a discursive marker of the speech start or finale.

Original languageEnglish
Title of host publication2018 International Workshop on Computational Models in Language and Speech, CMLS 2018
StatePublished - 2018
Event2018 International Workshop on Computational Models in Language and Speech, CMLS 2018 - Kazan, Russian Federation
Duration: 1 Nov 2018 → …

Publication series

NameCEUR Workshop Proceedings
PublisherRWTH Aahen University
Volume2303
ISSN (Print)1613-0073

Conference

Conference2018 International Workshop on Computational Models in Language and Speech, CMLS 2018
Country/TerritoryRussian Federation
CityKazan
Period1/11/18 → …

    Scopus subject areas

  • Computer Science(all)

    Research areas

  • Everyday speech, Hesitation phenomena, Modern Russian, Nonverbal vocalizations, Paralinguistic elements, Speech corpus

ID: 74578546