Distinctive lexical patterns in Russian patient information leaflets: a corpus-driven study

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Distinctive lexical patterns in Russian patient information leaflets: a corpus-driven study

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Distinctive lexical patterns in Russian patient information leaflets: a corpus-driven study

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

—

OECD FORD obor

60203 - Linguistics

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Russian Journal of Linguistics

ISSN

2312-9182

e-ISSN

2312-9212

Svazek periodika

23

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

RU - Ruská federace

Počet stran výsledku

22

Strana od-do

659-680

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85079530046