Development of mean dependency distance in Czech L2 texts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17250%2F25%3AA2603C9N" target="_blank" >RIV/61988987:17250/25:A2603C9N - isvavai.cz</a>

Výsledek na webu

<a href="https://benjamins.com/catalog/cilt.370.10han" target="_blank" >https://benjamins.com/catalog/cilt.370.10han</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1075/cilt.370.10han" target="_blank" >10.1075/cilt.370.10han</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Development of mean dependency distance in Czech L2 texts

Popis výsledku v původním jazyce

Syntactic analysis is a crucial part of second language acquisition studies. Over the past 30 years, researchers have developed numerous measures to evaluate the syntactic development of second language writers, concentrating on clause, t-unit, or sentence length. Recent attention has shifted towards measures that reflect sentence dependency structures, as demonstrated by mean dependency distance (MDD). Employing MDD, we actively analyse the syntactic development of Czech L2 texts using 5,721 samples that cover A1–C1 proficiency levels. We compare results with a reference corpus of texts authored by Czech native speakers (SKRIPT2012; Šebesta et al. 2013). We explore cross-linguistic influence by comparing Slavic language speakers and other language speakers at the same proficiency levels. Findings indicate a positive correlation between language proficiency and MDD, with significant differences between adjacent levels. Slavic L1 groups consistently demonstrate higher MDD than their other language speaker counterparts.

Název v anglickém jazyce

Development of mean dependency distance in Czech L2 texts

Popis výsledku anglicky

Syntactic analysis is a crucial part of second language acquisition studies. Over the past 30 years, researchers have developed numerous measures to evaluate the syntactic development of second language writers, concentrating on clause, t-unit, or sentence length. Recent attention has shifted towards measures that reflect sentence dependency structures, as demonstrated by mean dependency distance (MDD). Employing MDD, we actively analyse the syntactic development of Czech L2 texts using 5,721 samples that cover A1–C1 proficiency levels. We compare results with a reference corpus of texts authored by Czech native speakers (SKRIPT2012; Šebesta et al. 2013). We explore cross-linguistic influence by comparing Slavic language speakers and other language speakers at the same proficiency levels. Findings indicate a positive correlation between language proficiency and MDD, with significant differences between adjacent levels. Slavic L1 groups consistently demonstrate higher MDD than their other language speaker counterparts.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

60203 - Linguistics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Mathematical Modelling in Linguistics and Text Analysis: Theory and applications

ISBN

978-90-272-2837-6

Počet stran výsledku

10

Strana od-do

118-127

Počet stran knihy

241

Název nakladatele

John Benjamins Publishing Company

Místo vydání

Amsterdam

Kód UT WoS kapitoly

001609792500011