Exploring the cross-lingual influence of linguistic complexity in second language writing assessment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ASWMZT5UG" target="_blank" >RIV/00216208:11320/26:SWMZT5UG - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.asw.2025.100951" target="_blank" >http://dx.doi.org/10.1016/j.asw.2025.100951</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.asw.2025.100951" target="_blank" >10.1016/j.asw.2025.100951</a>
Alternative languages
Result language
angličtina
Original language name
Exploring the cross-lingual influence of linguistic complexity in second language writing assessment
Original language description
This paper explores the influence of L1 on the linguistic complexity of English learners. It relies on features extracted from texts and modelled using a statistical learning framework. Linguistic complexity is assessed automatically in terms of proficiency levels across different L1. We investigate whether proficiency grading by humans matches clusters of learner writings based on the similarity of linguistic features. We then use complexity metrics to automatically assess proficiency levels in samples of writings of different L1s. We focus on variable importance to understand which features best discriminate between levels. Analytic clusters of linguistic complexity data do not map well to learning levels, which promises poorly for the relevance of using language complexity metrics for level prediction. However, assessing L1 influence on linguistic complexity through a multinomial logistic regression with elastic net regularisation shows significant results. The models predict the proficiency levels of students of different L1s. © 2025
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Assessing Writing
ISSN
1075-2935
e-ISSN
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Volume of the periodical
66
Issue of the periodical within the volume
2025
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
100951
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105013193449