ILSA: an automated language complexity analysis tool for French

Autor:	Guillaume Loignon
Jazyk:	francouzština
Rok vydání:	2021
Předmět:	corpus analysis natural language processing readability psycholinguistics analyse de corpus traitement automatique du langage naturel lisibilité psycholinguistique français atributos de texto análise de corpus processamento automático da linguagem natural legibilidade francês Education
Zdroj:	Mesure et Évaluation en Éducation, Vol 44, Iss spécial (2021)
Druh dokumentu:	article
ISSN:	2368-2000 0823-3993
DOI:	10.7202/1095682ar
Popis:	Estimating language complexity is an important aspect of educational measurement and assessment that can be used, for instance, to control for unwanted variance due to language, or to provide students with texts that are conducive to learning. Automatic language processing techniques can be used to extract various linguistic features that reflect the complexity of vocabulary and sentence structure. In this paper, we present a new tool called ILSA (Integrated Lexico-Syntactic Analyzer), which we developed for research and educational applications. We summarize how the tool works and present the types of attributes it can extract. We then apply ILSA to 600 texts used in Quebec elementary and secondary schools and analyze the correlations between the attributes and the school grade associated with the text. The results show the potential of ILSA for modeling the complexity of French texts.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/0065fcddd66a4fedb79ecaad429f07a9 Zobrazit plný text záznamu View record in DOAJ