This report presents the system developed by the IUSS-NeTS team for the LangLearn evaluation task of the 2023 edition of EVALITA [1], which focuses on tracking the linguistic development of native Italian speakers (L1) and second language learners of Spanish (L2). Our approach focuses on the integration of specific linguistic features and surprisal-based metrics for both Italian and Spanish datasets (CItA and COWS-L2H, respectively). With our tests the system achieves a F-score of 0.67 for the Italian test set and 0.75 for the Spanish test set. These results demonstrate the effectiveness of our methodology in capturing and analyzing the linguistic development of L1 Italian and L2 Spanish learners.
IUSS-NeTS at LangLearn: The role of morphosyntactic features in language development assessment
Matilde Barbini
Writing – Original Draft Preparation
;Emma ZanoliWriting – Review & Editing
;Cristiano ChesiWriting – Review & Editing
2023-01-01
Abstract
This report presents the system developed by the IUSS-NeTS team for the LangLearn evaluation task of the 2023 edition of EVALITA [1], which focuses on tracking the linguistic development of native Italian speakers (L1) and second language learners of Spanish (L2). Our approach focuses on the integration of specific linguistic features and surprisal-based metrics for both Italian and Spanish datasets (CItA and COWS-L2H, respectively). With our tests the system achieves a F-score of 0.67 for the Italian test set and 0.75 for the Spanish test set. These results demonstrate the effectiveness of our methodology in capturing and analyzing the linguistic development of L1 Italian and L2 Spanish learners.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
