CELVA.Sp processed with A4LL metrics pipeline 2018-2023
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https://nakala.fr/10.34847/nkl.3aba968r
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资源简介：
This is a dataset of metrics corresponding to the CELVA.Sp learner corpus. It is made up of linguistic complexity, syntactic alternation and error metrics computed with the A4LL pipeline. It includes CEFR levels for each text.
The pipeline uses in-house scripts dedicated to syntactic alternations. See
Mallart, C., Simpkin, A., Ballier, N., Lissón, P., Venant, R., Li, J.-Y., Stearns, B., & Gaillat, T. (2025). Assessing the validity of new paradigmatic complexity measures as criterial features for proficiency in L2 writings in English. https://hal.science/hal-04986995
It also includes external tools: TAACO , TAASSC and L2SCA
Kyle, K. (2016). Measuring syntactic development in L2 writing: Fine grained indices of syntactic complexity and usage-based indices of syntactic sophistication [Dissertation, Georgia State University]. https://scholarworks.gsu.edu/alesl_diss/35
Crossley, S. A., Kyle, K., & McNamara, D. S. (2016). The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion. Behavior Research Methods, 48(4), 1227–1237. https://doi.org/10.3758/s13428-015-0651-7
Lu, X. (2014). Computational Methods for Corpus Annotation and Analysis. Springer.
提供机构：
NAKALA - https://nakala.fr (Huma-Num - CNRS)
创建时间：
2025-03-14
