An Interactive Recommendation System for 2nd Language Vocabulary Learning - Vocabulometer 2.0

According to linguistics, one of the major challenges for language learners is to find materials adapted to their skill. By continuously analyzing the reading activity of the user, the proposed system estimates the user's vocabulary and recommends documents adapted to her/his skill. In this article we improve the Vocabulometer platform by taking into account the user's interest for some topics and the document complexity. We implemented a text classification method and complex word identification analysis that refine the recommendation process and guarantees a level of difficulty of recommended texts in accordance with the level of vocabulary of each user.

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