基于熵的二语语音习得评价研究—以日本学习者习得汉语声母为例(An Entropy-based Evaluation of L2 Speech Acquisition: The Preliminary Report on Chinese Initials Produced by Japanese Learners)

Xiaoli Feng (冯晓莉), Yingming Gao (高迎明), Binghuai Lin (林炳怀), Jinson Zhang (张劲松)


Abstract
“本文引入“熵”对学习者二语音素发音错误的分布情况进行了量化研究。通过对不同音素及不同二语水平学习者音素错误率和错误分散度的分析发现:1.错误率与错误分散度有较高的相关性,二者的差异反映出错误分布的差异性;2.错误率类似的音素中,与母语音素相似度越高的音素错误分散度越小;3.较初级水平,中级水平学习者音素错误率下降而错误分散度上升。由此可见,熵可以在错误率基础上可以进一步揭示学习者母语音系及二语水平对音素发音错误分散度的影响。”
Anthology ID:
2022.ccl-1.8
Volume:
Proceedings of the 21st Chinese National Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Nanchang, China
Venue:
CCL
SIG:
Publisher:
Chinese Information Processing Society of China
Note:
Pages:
79–87
Language:
Chinese
URL:
https://aclanthology.org/2022.ccl-1.8
DOI:
Bibkey:
Cite (ACL):
Xiaoli Feng, Yingming Gao, Binghuai Lin, and Jinson Zhang. 2022. 基于熵的二语语音习得评价研究—以日本学习者习得汉语声母为例(An Entropy-based Evaluation of L2 Speech Acquisition: The Preliminary Report on Chinese Initials Produced by Japanese Learners). In Proceedings of the 21st Chinese National Conference on Computational Linguistics, pages 79–87, Nanchang, China. Chinese Information Processing Society of China.
Cite (Informal):
基于熵的二语语音习得评价研究—以日本学习者习得汉语声母为例(An Entropy-based Evaluation of L2 Speech Acquisition: The Preliminary Report on Chinese Initials Produced by Japanese Learners) (Feng et al., CCL 2022)
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https://preview.aclanthology.org/ingestion-script-update/2022.ccl-1.8.pdf