VOT productions of word-initial stops in Mandarin and English: A cross-language study

Li Mei Chen, Kuan Yi Chao, Jui Feng Peng

研究成果: Paper

13 引文 斯高帕斯(Scopus)

摘要

Voice Onset Time (VOT) is considered as one of the best methods for examining the timing of voicing in stop consonants and has been applied in the study of many languages. The present study is designed to examine VOT production for phonetically voiceless stops in Mandarin and English by native Chinese speakers. Thirty-six Taiwanese Chinese speakers recruited from National Cheng Kung University participated in this study. The results indicate the following. 1) Based on the three universal categories proposed by Lisker and Abramson (1964), for phonetically voiceless stops, Mandarin and English occupy the same place along the VOT continuum. 2) The mean VOT value for the apical stop /t/ is slightly lower than the mean value for the labial stop /p/. This does not conform to the general consensus, which states that the further back the place of articulation the longer the VOT. Very similar findings were also observed in previous studies. 3) The difference between the mean VOT values of the English /p/ and /t/ produced by Chinese speakers was subtle, while it reached significance for native English speakers. This suggests that a first language could be a crucial factor in L2 production. Future studies might examine variations in L2 production both for the same persons over time and for different speakers.

原文English
出版狀態Published - 2007 十二月 1
事件19th Conference on Computational Linguistics and Speech Processing, ROCLING 2007 - Taipei, Taiwan
持續時間: 2007 九月 62007 九月 7

Other

Other19th Conference on Computational Linguistics and Speech Processing, ROCLING 2007
國家Taiwan
城市Taipei
期間07-09-0607-09-07

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Speech and Hearing

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  • 引用此

    Chen, L. M., Chao, K. Y., & Peng, J. F. (2007). VOT productions of word-initial stops in Mandarin and English: A cross-language study. 論文發表於 19th Conference on Computational Linguistics and Speech Processing, ROCLING 2007, Taipei, Taiwan.