VocabEncounter: NMT-powered Vocabulary Learning by Presenting Computer-Generated Usages of Foreign Words into Users’ Daily Lives

Author:

Arakawa Riku1,Yakura Hiromu2,Kobayashi Sosuke3

Affiliation:

1. Carnegie Mellon University, United States

2. University of Tsukuba, Japan and National Institute of Advanced Industrial Science and Technology (AIST), Japan

3. Tohoku University, Japan and Preferred Networks, Japan

Funder

Japan Science and Technology Agency

Japan Society for the Promotion of Science

Publisher

ACM

Reference89 articles.

1. The importance of vocabulary in language learning and how to be taught

2. Guidelines for Human-AI Interaction

3. Guided Open Vocabulary Image Captioning with Constrained Beam Search

4. Richard  C. Anderson and Peter Freebody . 1981 . Vocabulary knowledge. In Comprehension and teaching: Research reviews, John T. Guthrie (Ed.). International Reading Association , Newark, DE, 77–117. Richard C. Anderson and Peter Freebody. 1981. Vocabulary knowledge. In Comprehension and teaching: Research reviews, John T. Guthrie (Ed.). International Reading Association, Newark, DE, 77–117.

5. Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2015 . Neural Machine Translation by Jointly Learning to Align and Translate . In Proceedings of the 3rd International Conference on Learning Representations. ICLR , La Jolla, CA, 15 pages. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In Proceedings of the 3rd International Conference on Learning Representations. ICLR, La Jolla, CA, 15 pages.

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