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Using artificial intelligence to simulate the process of learning Japanese accent rules: Toward the integration of accent into the grammar curriculum

研究課題

研究課題/領域番号 18K12427
研究種目

若手研究

配分区分基金
審査区分 小区分02090:日本語教育関連
研究機関神戸大学

研究代表者

ALBIN Aaron  神戸大学, 国際文化学研究科, 講師 (60794526)

研究期間 (年度) 2018-04-01 – 2021-03-31
研究課題ステータス 中途終了 (2020年度)
配分額 *注記
520千円 (直接経費: 400千円、間接経費: 120千円)
2019年度: 260千円 (直接経費: 200千円、間接経費: 60千円)
2018年度: 260千円 (直接経費: 200千円、間接経費: 60千円)
キーワードcorpus / textbook / Japanese / accent / pitch / prosody / L2 / SLA / database / AI / pedagogy
研究実績の概要

In the previous fiscal year, we began conducting a systematic comparison of the corpus's accent annotations (two human + two machine for every sentence) and resolving any resulting disagreements through consultation with a phonetically-trained Tokyo Japanese native speaker. This undertaking finished during this fiscal year, and thus all 26,000+ entries in the database have now been hand-corrected.

While this undertaking was ongoing, extensive testing of Chamame's four types of accent rules (C, F, M, and P) proceeded in three stages. First, using the cleaned-up dataset of sentences from the dialogues in Genki, the accent rules were analyzed in terms of frequency, co-occurrence, and relationship to part-of-speech. Second, "P" rules (triggered upon prefixation) were examined in greater depth as a case study, using not only the data from the Genki corpus but also data from the appendix to Shinmeikai Japanese Accent Dictionary. Third, Unidic (the dictionary Chamame draws on for accent information) was analyzed in order to delineate the full range of possible accent rules and combinations thereof, with a carefully-selected illustrative example for each.

With the corpus finally completed and rule system thus clarified, the original plan was to run learning simulations and disseminate the results during the second half of this fiscal year. Unfortunately, due to a PI's change in affiliation to outside Japan, it was automatically required to terminate the grant. However, the research itself has continued, and with the corpus now complete, many exciting possibilities are on the horizon.

報告書

(3件)
  • 2020 実績報告書
  • 2019 実施状況報告書
  • 2018 実施状況報告書
  • 研究成果

    (1件)

すべて 2020

すべて 学会発表 (1件) (うち国際学会 1件)

  • [学会発表] Quantifying the pedagogical importance of Japanese accent rules: Preliminary analyses of a new accent-annotated corpus of elementary Japanese2020

    • 著者名/発表者名
      Aaron Albin, Ruilai Wang, Rie Oyama
    • 学会等名
      American Association of Teachers of Japanese 2020 Annual Spring Conference
    • 関連する報告書
      2019 実施状況報告書
    • 国際学会

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公開日: 2018-04-23   更新日: 2021-12-27  

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