Classification of Text Writing Proficiency of L2 Learners

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A2HVQTCK3" target="_blank" >RIV/00216208:11320/23:2HVQTCK3 - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164949611&doi=10.1007%2f978-3-031-37105-9_2&partnerID=40&md5=297ee5affa2045037cc5c5a0b42f22c4" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164949611&doi=10.1007%2f978-3-031-37105-9_2&partnerID=40&md5=297ee5affa2045037cc5c5a0b42f22c4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-37105-9_2" target="_blank" >10.1007/978-3-031-37105-9_2</a>

Result language

angličtina

Original language name

Classification of Text Writing Proficiency of L2 Learners

Original language description

"In this study, we present a novel system for the automatic classification of text complexity in the Italian language, focusing on the phraseological dimension. This quantitative assessment of text complexity is crucial for various applications, including text readability measurement, text simplification, and support for educators during evaluation processes. We use a dataset comprising texts written by Italian L2 learners and classified according to the levels of the Common European Framework of Reference for Languages. The dataset texts serve as a basis for calculating phraseological features, which are then used as input for multiple machine-learning classifiers to compare their performance in predicting proficiency levels. Our experimental results demonstrate that the proposed framework effectively harnesses phraseological complexity features to achieve high classification accuracy in determining proficiency levels. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG."

Czech name

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Czech description

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Type

D - Article in proceedings

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

2023

Confidentiality

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

Article name in the collection

"Lect. Notes Comput. Sci."

ISBN

978-303137104-2

ISSN

0302-9743

e-ISSN

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Number of pages

14

Pages from-to

15-28

Publisher name

Springer Science and Business Media Deutschland GmbH

Place of publication

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Event location

Cham

Event date

Jan 1, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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