In this paper we present an NLP-based approach for tracking the evolution of written language competence in L2 Spanish learners using a wide range of linguistic features automatically extracted from students' written productions. Beyond reporting classification results for different scenarios, we explore the connection between the most predictive features and the teaching curriculum, finding that our set of linguistic features often reflects the explicit instruction that students receive during each course.

Tracking the Evolution of Written Language Competence in L2 Spanish Learners

Miaschi Alessio;Brunato Dominique;Dell'Orletta Felice;Venturi Giulia
2020

Abstract

In this paper we present an NLP-based approach for tracking the evolution of written language competence in L2 Spanish learners using a wide range of linguistic features automatically extracted from students' written productions. Beyond reporting classification results for different scenarios, we explore the connection between the most predictive features and the teaching curriculum, finding that our set of linguistic features often reflects the explicit instruction that students receive during each course.
2020
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Inglese
Proceedings of 15th Workshop on Innovative Use of NLP for Building Educational Applications
15th Workshop on Innovative Use of NLP for Building Educational Applications
92
101
10
978-1-941643-83-9
https://www.aclweb.org/anthology/2020.bea-1.9.pdf
Association for Computational Linguistics
Stroudsburg
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
10/07/2020
Evolution of Language Competence
Natural Language Processing
Linguistic Profiling
7
open
Miaschi, Alessio; Davidson, Sam; Brunato, DOMINIQUE PIERINA; Dell'Orletta, Felice; Sagae, Kenji; SanchezGutierrez Claudia, H; Venturi, Giulia
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/384933
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