第二言語としての日本語の音声習得と評価研究  [in Japanese] Acquisition and Assessment of L2 Pronunciation Skills in Japanese Learners  [in Japanese]

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Abstract

The current paper reviews previous research on the acquisition of Japanese language sounds and pronunciation skills of second-language learners of Japanese, focusing on both segmental and suprasegmental features. We first provide a brief overview of Japanese language sounds. Studies based on comparative analysis of segmental features in Japanese and learners' native languages are then discussed, followed by a review of recent studies involving a range of techniques, including acoustic analysis, cross-sectional and time-series experimental designs to explore the acquisition process and factors affecting it. In addition, we examine research on the production and perception of Japanese lexical accent, and the relationships between them. Based on this review, we propose that the rhythmic unit, mora, a typologically unique feature of Japanese, presents significant learning challenges for second-language learners, because it affects the perception and production of segmental features such as long and short vowels, double consonants, and syllabic nasals as well as the Japanese lexical accent. Finally, we examine previous research examming second-language learners' pronunciation skills. We propose that insufficient attention has been paid to this issue, warranting future investigation.

Journal

  • 広島大学大学院教育学研究科紀要. 第二部, 文化教育開発関連領域 = Bulletin of the Graduate School of Education, Hiroshima University. Part. 2, Arts and science education

    広島大学大学院教育学研究科紀要. 第二部, 文化教育開発関連領域 = Bulletin of the Graduate School of Education, Hiroshima University. Part. 2, Arts and science education (65), 177-186, 2016

    広島大学大学院教育学研究科

Codes

  • NII Article ID (NAID)
    120005947267
  • NII NACSIS-CAT ID (NCID)
    AA11618725
  • Text Lang
    JPN
  • Article Type
    departmental bulletin paper
  • Journal Type
    大学紀要
  • ISSN
    1346-5554
  • NDL Article ID
    027858678
  • NDL Call No.
    Z22-87
  • Data Source
    NDL  IR 
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