RT journal article
T1 Analysing Corpus-based Criterial Conjunctions for Automatic Proficiency Classification
A1 Zarco Tejada, María Ángeles
A1 Noya Gallardo, María Del Carmen
A1 Merino Ferradá, María del Carmen
A1 Calderón López, María Isabel
A2 Filología Francesa e Inglesa
AB The linguistic profiling of L2 learning texts can be taken as a model for automatic proficiency assessment of new texts. But proficiency levels are distinguished by many different linguistic features among which the use of cohesive devices can be a criterial element for level distinctions, either in the number of conjunctions used (quantitative) and/or in the type and variety of them (qualitative). We have carried such an analysis with a subgroup of the CLEC (CEFR-levelled English Corpus) using Coh-Metrix, a tool for computing computational cohesion and coherence metrics for written and spoken texts, but our results suggest that automatic proficiency level assessment needs a deeper examination of conjunctions that should rely on the analysis of conjunction-types use and conjunction varieties, with an analysis of lexical choice. A variable based on familiarity ranks could help to predict cohesive levels proficiency oriented.
SN 1576-6357
YR 2016
FD 2016
LK http://hdl.handle.net/10498/34992
UL http://hdl.handle.net/10498/34992
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026