Automatic Japanese Example Extraction for Flashcard-based Foreign Language Learning

• Item type: Journal(1)
• 公開日: 2022-04-15
• タイトル: Automatic Japanese Example Extraction for Flashcard-based Foreign Language Learning
• タイトル / 言語: en
• タイトル: Automatic Japanese Example Extraction for Flashcard-based Foreign Language Learning
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文] Natural Language Processing, Foreign Language Learning, Example Sentences, Example Extraction
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Works Applications Enterprise, Tokushima NLP Laboratory
• 著者所属: Kyoto University, Graduate School of Informatics
• 著者所属: Waseda University
• 著者所属(英): en
• 著者所属(英): Works Applications Enterprise, Tokushima NLP Laboratory
• 著者所属(英): en
• 著者所属(英): Kyoto University, Graduate School of Informatics
• 著者所属(英): en
• 著者所属(英): Waseda University
• 著者名: Arseny, Tolmachev; Sadao, Kurohashi; Daisuke, Kawahara
• 著者名(英): Arseny, Tolmachev; Sadao, Kurohashi; Daisuke, Kawahara
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 63, 号 4, 発行日 2022-04-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764