Cefr vocabulary level as a predictor of user interest in English Wiktionary entries

Datos Bibliográficos

ID22232138
AutoresRobert Lew (0000-0002-6772-210X, Adam Mickiewicz University in Poznań, autor de correspondencia), Sascha Wolfer (0000-0002-8893-8153, Leibniz Institute for the German Language)
Año2024
Volumen11
Número1
Fecha de publicación2024-02-29
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaHumanities and Social Sciences Communications (JOURNAL)
Identificadores de la revistaISSN: 2662-9992 • E-ISSN: 2662-9992
EditorialSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41599-024-02838-4
OpenAlexW4392298159
IdiomaEN
Citas recibidas1
Referencias citadas19

This contribution explores the relationship between the English CEFR (Common European Framework of Reference for Languages) vocabulary levels and user interest in English Wiktionary entries. User interest was operationalized through the number of views of these entries in Wikimedia server logs covering a period of four years (2019–2022). Our findings reveal a significant relationship between CEFR levels and user interest: entries classified at lower CEFR levels tend to attract more views, which suggests a greater user interest in more basic vocabulary. A multiple regression model controlling for other known or potential factors affecting interest: corpus frequency, polysemy, word prevalence, and age of acquisition confirmed that lower CEFR levels attract significantly more views even after taking into account the other predictors. These findings highlight the importance of CEFR levels in predicting which words users are likely to look up, with implications for lexicography and the development of language learning materials

English vocabulary · Linguistics · Natural language processing · Vocabulary · Computer Science · Lexicography and Language Studies · Natural Language Processing Techniques · Philosophy · Second Language Acquisition and Learning · Artificial Intelligence