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11 novembre 2016
- doi: 10.4000/books.aaccademia.1542
- eisbn: 9788899200008
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
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research Linguistics Computational Linguistics Fondazione Bruno Kessler language linguistica linguistica computazionale Fondazione Bruno Kessler linguaggio ricerca linguistique linguistique computationelle Fondazione Bruno Kessler langage recherche Multidisciplinary Linguistics LAN025000 GLCiter ce document
Stefan Richter et al., « Tracking the Evolution of Written Language Competence: an NLP–based Approach », Accademia University Press, ID : 10.4000/books.aaccademia.1542
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Résumé
In this paper, we present an NLPbased innovative approach for tracking the evolution of written language competence relying on different sets of linguistic features that predict text quality. This approach was tested on a corpus essays written by Italian L1 learners of the first and second year of the lower secondary school.