2017
EACL
EACL 2017
Multilingual CALL Framework for Automatic Language Exercise Generation from Free Text
Abstract
AbstractThis paper describes a web-based application to design and answer exercises for language learning. It is available in Basque, Spanish, English, and French. Based on open-source Natural Language Processing (NLP) technology such as word embedding models and word sense disambiguation, the application enables users to automatic create easily and in real time three types of exercises, namely, Fill-in-the-Gaps, Multiple Choice, and Shuffled Sentences questionnaires. These are generated from texts of the usersβ own choice, so they can train their language skills with content of their particular interest.
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Interdisciplinary Bridge
β Interdisciplinary and Natural Language Processing
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Keyword Pioneer
β exercise generation
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Hot Topic Early Bird
β word sense disambiguation
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Cross-Pollinator
β Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio