新的声音制作精度vs.相似的:不均匀的战斗

Jolanta Sypiańska, Elena-Raluca Constantin
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引用次数: 1

摘要

语音学习模型指出,等效分类的过程通过形成L1-L2合并的类别来降低相似的L2声音的准确性,而由于缺乏与L1类别的感知联系,新声音往往会以更高的准确性发音(Flege 1995)。我们进一步发现,母语为波兰语/第二语言的英语使用者将标准弱读音作为一个新音,而母语为罗马尼亚语/第二语言的英语使用者将标准弱读音作为一个类似的音,他们产生了L1-L2的弱读音合并。本文的目的是进一步研究新音和相似音的产生精度。首先,一个由母语为罗马尼亚语的人组成的对照组被用来分析L1-L2相似音的合并。其次,采用基于外国口音评分(FAR)的整体发音能力衡量标准。结果证实,新声音的产生精度远远高于与等效L1声音合并形成的相似声音。因此,与母语人士的参考相比,这两种声音都不准确。此外,新发音的准确性从总体熟练程度和整体二语发音能力的提高中获益更多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New vs. similar sound production accuracy: The uneven fight
The Speech Learning Model states that the process of equivalence classification reduces the accuracy of a similar L2 sound by forming an L1-L2 merged category whereas new sounds tend to be pronounced with greater accuracy due to lack of perceptual linkage with an L1 category (Flege 1995). We found further support for this differentiation in the production of the canonical schwa as a new sound by L1 Polish/L2 English speakers and as a similar sound by L1 Romanian/L2 English speakers, who produced an L1-L2 schwa merger. The aim of the current paper is to further investigate the production accuracy of new and similar sounds. First of all, a control group that consisted of native Romanian speakers was used to analyse the L1-L2 similar sound merger. Secondly, a measure of overall pronunciation ability based on foreign accent ratings (FAR) was included. The results confirm that production accuracy for new sounds is much greater than for similar sounds which form merged diaphones with the equivalent L1 sound. As a result, neither sound is produced on target when compared to a native speaker reference. Moreover, new sound production accuracy benefits much more from an increase in general proficiency and overall L2 pronunciation ability.
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