Multilingual CALL Framework for Automatic Language Exercise Generation from Free Text
نویسندگان
چکیده
This 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 system enables users to create automatically and in real time three types of exercises, namely, Fill-inthe-Gaps, Multiple Choice, and Shuffled Sentences questionnaires. These are generated from texts of the users’ own choice, so they can train their language skills with content of their particular interest.
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تاریخ انتشار 2017