Distinctive lexical patterns in Russian patient information leaflets: a corpus-driven study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17250%2F19%3AA20021P6" target="_blank" >RIV/61988987:17250/19:A20021P6 - isvavai.cz</a>
Result on the web
<a href="http://journals.rudn.ru/linguistics/article/view/21771" target="_blank" >http://journals.rudn.ru/linguistics/article/view/21771</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22363/2312-9182-2019-23-3-659-680" target="_blank" >10.22363/2312-9182-2019-23-3-659-680</a>
Alternative languages
Result language
angličtina
Original language name
Distinctive lexical patterns in Russian patient information leaflets: a corpus-driven study
Original language description
This methodologically-oriented corpus-driven study focuses on distinctive patterns of language use in a specialized text type, namely Russian patient information leaflets. The study’s main goal is to identify keywords and recurrent sequences of words that account for the leaflets’ formulaicity, and - as a secondary goal - to describe their discoursal functions. The keywords were identified using three methods (G2, Hedges’ g and Neozeta) and the overlap between the three metrics was explored. The overlapping keywords were qualitatively analyzed in terms of discoursal functions. As for the distinctive multi-word patterns, we focused on recurrent n-grams with the largest coverage in the corpus: these were identified using the Formulex method (Forsyth, 2015b), which provides complementary data with respect to more conservative n- gram and lexical bundles approaches. The results revealed that the most distinctive keywords were identified using Hedges’ g metric, that the largest overlap occurred between G2 and Neozeta metrics, and that the frequent use and discoursal functions of the identified lexical patterns correspond with situational contexts and communicative purposes of patient information leaflets. It is hoped that this study will provide an opportunity for a methodological reflection and inspire further corpus-driven research on distinctive recurrent lexical patterns (e.g., keywords, n-grams, lexical bundles) or - more generally - on formulaic language in texts originally written in Russian.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
60203 - Linguistics
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Russian Journal of Linguistics
ISSN
2312-9182
e-ISSN
2312-9212
Volume of the periodical
23
Issue of the periodical within the volume
3
Country of publishing house
RU - RUSSIAN FEDERATION
Number of pages
22
Pages from-to
659-680
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85079530046