@article{5211cae0a2c2438db21bcbeff32c61fb,
title = "Automatic Japanese Example Extraction for Flashcard-based Foreign Language Learning",
abstract = "Flashcard systems are effective tools for learning words but have their limitations in teaching word usage. To overcome this problem, we suggest that a flashcard system shows a new example sentence on each repetition. This extension requires high-quality example sentences, automatically extracted from a huge corpus. To do this, we use a Determinantal Point Process which scales well to large data and allows us to naturally represent sentence similarity and quality as features. Our human evaluation experiment on the Japanese language indicates that the proposed method successfully extracted high-quality example sentences.",
keywords = "Example Extraction, Example Sentences, Foreign Language Learning, Natural Language Processing",
author = "Arseny Tolmachev and Sadao Kurohashi and Daisuke Kawahara",
note = "Funding Information: We thank Government of Japan and Ministry of Education, Culture, Sports, Science and Technology for the scholarship support which made this work possible in the first place. We also thank Kyoto University Design School for financial support in this research. The first author addition-ally wants to thank Maruhashi Koji, Okamoto Seiji and Anai Hirokazu of Fujitsu Laboratories; Takaoka Kazuma and Uchida Yoshitaka of Works Applications Enterprise with the support for this work. Finally, we want to express our gratitude to volunteer student and teacher evaluators. Funding Information: Acknowledgments We thank Government of Japan and Ministry of Education, Culture, Sports, Science and Technology for the scholarship support which made this work possible in the first place. We also thank Kyoto University Design School for financial support in this research. The first author additionally wants to thank Maruhashi Koji, Okamoto Seiji and Anai Hirokazu of Fujitsu Laboratories; Takaoka Kazuma and Uchida Yoshitaka of Works Applications Enterprise with the support for this work. Finally, we want to express our gratitude to volunteer student and teacher evaluators. Publisher Copyright: {\textcopyright} 2022 Information Processing Society of Japan.",
year = "2022",
doi = "10.2197/ipsjjip.30.315",
language = "English",
volume = "30",
pages = "315--330",
journal = "Journal of Information Processing",
issn = "0387-5806",
publisher = "Information Processing Society of Japan",
}