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.
Mots-clés | linguistic complexity syntactic alternations learner English |
|---|---|
Auteur : | Thomas GAILLAT, Cyriel Mallart |
titreen | CELVA.Sp processed with A4LL metrics pipeline |
http://nakala.fr/terms#created | 2024 |
licence | CC-BY-4.0 |
type | http://purl.org/coar/resource_type/c_ddb1 |
mots-clés | linguistic complexity |
mots-clés | syntactic alternations |
mots-clés | learner English |
description | 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. |
langues | en |
auteur | Thomas GAILLAT |
auteur | Cyriel Mallart |