In this paper, we present an NLP-based 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.

Tracking the Evolution of Written Language Competence: an NLP-based Approach

Cimino A;Dell'Orletta F;Venturi G
2015

Abstract

In this paper, we present an NLP-based 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.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Richter S it
dc.authority.people Cimino A it
dc.authority.people Dell'Orletta F it
dc.authority.people Venturi G it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/20 07:49:31 -
dc.date.available 2024/02/20 07:49:31 -
dc.date.issued 2015 -
dc.description.abstracteng In this paper, we present an NLP-based 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. -
dc.description.affiliations University of Leipzig; Istituto di Linguistica Computazionale "A. Zampolli" (ILC-CNR) -
dc.description.allpeople Richter S.; Cimino A.; Dell'Orletta F.; Venturi G. -
dc.description.allpeopleoriginal Richter S., Cimino A., Dell'Orletta F., Venturi G. -
dc.description.fulltext none en
dc.description.numberofauthors 3 -
dc.identifier.isbn 978-88-99200-62-6 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/322145 -
dc.identifier.url http://www.italianlp.it/wp-content/uploads/2016/03/tracking-language-competence.pdf -
dc.language.iso eng -
dc.publisher.country ITA -
dc.publisher.name Accademia University Press -
dc.publisher.place Torino -
dc.relation.conferencedate 3-4 dicembre 2015 -
dc.relation.conferencename 2nd Italian Conference on Computational Linguistics (CLiC-it) -
dc.relation.conferenceplace Trento -
dc.relation.firstpage 236 -
dc.relation.lastpage 240 -
dc.relation.numberofpages 4 -
dc.subject.keywords Evolution of Written Language Competence -
dc.subject.keywords multi-level linguistic analysis -
dc.subject.singlekeyword Evolution of Written Language Competence *
dc.subject.singlekeyword multi-level linguistic analysis *
dc.title Tracking the Evolution of Written Language Competence: an NLP-based Approach en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 357144 -
iris.orcid.lastModifiedDate 2024/03/01 13:52:48 *
iris.orcid.lastModifiedMillisecond 1709297568971 *
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 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/20.500.14243/322145
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