Adaptive System for Language Learning

This paper presents a system that combines NLP and hand-written 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 hand-written rules for retrieving language information that is rele...

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Bibliographic Details
Published in2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT) pp. 47 - 49
Main Authors Zilio, Leonardo, Fairon, Cedrick
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2017
Subjects
Adaptive System
CALL
Computational Linguistics
Conferences
Education
Europe
NLP
Pragmatics
Second Language Learning
Syntactics
Web pages
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Summary:This paper presents a system that combines NLP and hand-written 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 hand-written 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.
ISSN:2161-377X
DOI:10.1109/ICALT.2017.46