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Record type:
kapitola v odborné knize (C)
Home Department:
Katedra českého jazyka (25300)
Title:
Development of mean dependency distance in Czech L2 texts
Citace
Hanušková, M., Nogolová, M. a Kubát, M. Development of mean dependency distance in Czech L2 texts.
In:
Adam Pawłowski, Sheila Embleton, Jan Mačutek, Aris Xanthos (eds.).
Mathematical Modelling in Linguistics and Text Analysis: Theory and applications.
1. vyd. Amsterdam: John Benjamins Publishing Company, 2025. s. 118-127. Current Issues in Linguistic Theory, 370. ISBN 978-90-272-2837-6.
Subtitle
Publication year:
2025
Obor:
Form of publication:
Tištená verze
ISBN code:
978-90-272-2837-6
Book title in original language:
Mathematical Modelling in Linguistics and Text Analysis: Theory and applications
Title of the edition and volume number:
Current Issues in Linguistic Theory, 370
Place of publishing:
Amsterdam
Publisher name:
John Benjamins Publishing Company
Issue reference (issue number):
1:
Published:
v zahraničí
Author of the source document:
Adam Pawłowski, Sheila Embleton, Jan Mačutek, Aris Xanthos (eds.)
Number of pages:
10
Book page count:
241
Page from:
118
Page to:
127
Book print run:
EID:
Key words in English:
MDD, dependency syntax, Czech, second language acquisition
Annotation in original language:
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.
Annotation in english language:
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.
References
Reference
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