A NLP-based stylometric approach for tracking the evolution of L1 written language competence

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441551" target="_blank" >RIV/00216208:11320/21:10441551 - isvavai.cz</a>

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=9GvY39slqt" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=9GvY39slqt</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17239/jowr-2021.13.01.03" target="_blank" >10.17239/jowr-2021.13.01.03</a>

Result language

angličtina

Original language name

A NLP-based stylometric approach for tracking the evolution of L1 written language competence

Original language description

In this study we present a Natural Language Processing (NLP)-based stylometric approach for tracking the evolution of written language competence in Italian L1 learners. The approach relies on a wide set of linguistically motivated features capturing stylistic aspects of a text, which were extracted from students&apos; essays contained in CItA (Corpus Italiano di Apprendenti L1), the first longitudinal corpus of texts written by Italian L1 learners enrolled in the first and second year of lower secondary school. We address the problem of modeling written language development as a supervised classification task consisting in predicting the chronological order of essays written by the same student at different temporal spans. The promising results obtained in several classification scenarios allow us to conclude that it is possible to automatically model the highly relevant changes affecting written language evolution across time, as well as identifying which features are more predictive of this process. In the last part of the article, we focus the attention on the possible influence of background variables on language learning and we present preliminary results of a pilot study aiming at understanding how the observed developmental patterns are affected by information related to the school environment of the student.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Writing Research

ISSN

2030-1006

e-ISSN

2294-3307

Volume of the periodical

13

Issue of the periodical within the volume

1

Country of publishing house

BE - BELGIUM

Number of pages

35

Pages from-to

71-105

UT code for WoS article

000659987400003

EID of the result in the Scopus database

2-s2.0-85108566169