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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

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    60203 - Linguistics

Result continuities

  • Project

  • 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

  • EID of the result in the Scopus database

    2-s2.0-85079530046