Adaptive System for Language Learning
(2017) Proceedings IEEE 17th International Conference on Advanced Learning Technologies (ICALT) — ISBN: [978-1-5386-3870-5], 47-49, published
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- This paper presents a system that combines NLP and handwritten rules for enhancing the text of authentic Web pages based on the needs of a specific language learner. It uses the Stanford CoreNLP system to process texts, and applies handwritten rules for retrieving language information that is relevant according to a given Common European Framework of Reference for Languages (CEFR) level. After the text content of the Web page is processed, it is presented to the user with enhancements of various language structure. These enhancements are meant to draw the user's attention to linguistic structures that are present on the text, so that the reading activity does not encompass only the meaning of the text, but also serves as a reinforcement to language learning activities.
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Citations
Zilio, L., & Fairon, C. (2017). Adaptive System for Language Learning. In Maiga Chang, Nian-Shing Chen, Ronghuai Huang, Kinshuk, Demetrios G Sampson, Radu Vasiu (ed.), Proceedings IEEE 17th International Conference on Advanced Learning Technologies (ICALT) (pp. 47-49). Conference Publishing Services (CPS). https://doi.org/10.1109/icalt.2017.46