基于对日本口音英语特征分类的分析进行客观评价

H. Tsubaki
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引用次数: 0

摘要

为了客观评价第二语言学习者的熟练程度,本文以语音知识为基础,分析了日本学习者英语演讲中的发音错误特征。通过语音识别工具自动强制对齐,通过替换反映学习者语音错误特征的语音字典来检测手机的删除、替换和插入。在语音知识方面,考虑了典型的误读、插入元音、替换元音和辅音的遗漏和替换。采用相关分析和分段线性回归分析方法对这些误读模式进行统计分析。统计结果显示,学习者主观评价分数的误差特征与评价分数的相关关系是一致的。从分段线性回归分析的断点说明元音和辅音之间的错误发音的差异。获得的断点与每个学习者主观评价分数之间的差值被认为是学习者错误发音正确和不正确的衡量标准。以误音统计量为参数,进行多元线性回归分析,得到实际差值与估计差值的相关值为0.511。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis based on Japanese accented English characteristics categories for objective evaluation
Aiming at objective evaluation of L2 (second language) learners' proficiency, mispronunciation characteristics of Japanese learners' English speech were analyzed based on phonetic knowledge. Through automatic forced alignment using a speech recognition tool kit, phone deletion, substitution and insertion were detected by substituting the pronunciation dictionary reflecting learners' phonetic error characteristics. For phonetic knowledge, typical mispronunciations, vowel insertion, vowel substitution and consonant omission and substitution were taken into account. These mispronunciation-pattern statistics were analyzed using correlation and segmented linear regression analysis method. The statistics showed consistent error characteristics along the learners' subjective evaluation scores and correlation relationship to the evaluation scores. Break points from the segmented linear regression analysis illustrated difference in the mispronunciations between vowel and consonant. Differential between the obtained break point and each learner's score in the subjective evaluation scores was thought as measurement of the learner's mispronunciation correctness and non-correctness. The correlation value of 0.511 was obtained between actual and estimated differential value by a multiple linear regression analysis, using the mispronunciation statistics as parameters.
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