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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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

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

  • 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

  • EID of the result in the Scopus database

    2-s2.0-105013193449