%0 Conference Proceedings %T Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners %A Chen, Jhih-Jie %A Yang, Chingyu %A Ho, Peichen %A Tsai, Ming Chiao %A Ho, Chia-Fang %A Tuan, Kai-Wen %A Tsai, Chung-Ting %A Han, Wen-Bin %A Chang, Jason %Y Costa-jussà, Marta R. %Y Alfonseca, Enrique %S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations %D 2019 %8 July %I Association for Computational Linguistics %C Florence, Italy %F chen-etal-2019-learning-link %X We introduce a system aimed at improving and expanding second language learners’ English vocabulary. In addition to word definitions, we provide rich lexical information such as collocations and grammar patterns for target words. We present Linggle Booster that takes an article, identifies target vocabulary, provides lexical information, and generates a quiz on target words. Linggle Booster also links named-entity to corresponding Wikipedia pages. Evaluation on a set of target words shows that the method have reasonably good performance in terms of generating useful and information for learning vocabulary. %R 10.18653/v1/P19-3034 %U https://aclanthology.org/P19-3034 %U https://doi.org/10.18653/v1/P19-3034 %P 213-218