This study introduced "entropy" to quantify the dispersion of second language (L2) learners' phonetic errors. By comparing the error rates and error dispersion of different phonos and different proficioncy levels of learners (elementary level (EL), intermediate level (IL) and advancea level (AL) ), we found that: (1) There is a high correlation between error rate and error dispersion, and the difference between them reflects the difference of error distribution; (2) The greater the difference between target and native phones, the higher the pronunciation error rate and the greater the error dispersion; (3) Compared with the EL speakers, the IL speakers' phone error rate decreased while their error dispersion increased. In summary, entropy can reflect the differences of L2 pronunciation distribution resulting from the influence of learners' native language and L2 proficiency.
关键词
二语语音习得；发音错误分散度；熵
Key words
二语语音习得；发音错误分散度；熵
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会议名称
Chinese national conference on computational linguistic
会议地点
Nanchang(CN)
会议母体文献
The 21st Chinese national conference on computational linguistic
NETL