Using NLP for Enhancing Second Language Acquisition
CENTAL, Université catholique de Louvain, Leonardo Botelho Zilio, Rodrigo Wilkens, Cédrick Fairon · 2017
This study presents SMILLE, a system that draws on the Noticing Hypothesis and on input enhancements, addressing the lack of salience of grammatical information in online documents chosen by a given user.By means of input enhancements, the system can draw the user's attention to grammar, which could possibly lead to a higher intake per input ratio for metalinguistic information.The system receives as input an online document and submits it to a combined processing of parser and hand-written rules for detecting its grammatical structures.The input text can be freely chosen by the user, providing a more engaging experience and reflecting the user's interests.The system can enhance a total of 107 fine-grained types of grammatical structures that are based on the CEFR.An evaluation of some of those structures resulted in an overall precision of 87%.