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Automatic Japanese Example Extraction for Flashcard-based Foreign Language Learning Automatic Japanese Example Extraction for Flashcard-based Foreign Language Learning Arseny, Tolmachev Sadao, Kurohashi Daisuke, Kawahara Arseny, Tolmachev Sadao, Kurohashi Daisuke, Kawahara [一般論文] Natural Language Processing, Foreign Language Learning, Example Sentences, Example Extraction 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. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.30(2022) (online) DOI　http://dx.doi.org/10.2197/ipsjjip.30.315 ------------------------------ 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. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.30(2022) (online) DOI　http://dx.doi.org/10.2197/ipsjjip.30.315 ------------------------------ 2022-04-15 eng journal article https://ipsj.ixsq.nii.ac.jp/records/217724 1882-7764 AN00116647 情報処理学会論文誌 63 4 https://ipsj.ixsq.nii.ac.jp/record/217724/files/IPSJ-JNL6304022.pdf application/pdf 804.2 kB 2024-04-15