Prenominal adjective order preferences in Chinese and German L2 English: A multifactorial corpus study
Prenominal adjective order preferences in Chinese and German L2 English: A multifactorial corpus study
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汉语和德语第二英语中的名词性形容词顺序偏好：多因素语料库研究
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
S. Gries
中科院分区：
文献类型：
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作者：
Stefanie Wulff;S. Gries
本研究从国际英语学习者语料库和国际英语语料库中提取了3624个形容词前名语序实例，并对它们进行了对比分析。这些数据被注释为九个决定形容词顺序的因素，包括语义、频率相关和发音特征。本研究采用两步回归程序MuPDAR（Multifactorial Prediction and Deviation Analysis Using Regressions），发现中高级水平的学习者总体上与本族语者的偏好一致。然而，我们也看到，虽然德国学习者似乎普遍更好地与频率相关的因素，中国学习者的行为更像目标的形容词等级的影响，他们似乎更敏感的音段交替的限制。在讨论这些和其他结果，本研究希望说明如何基于语料库的方法可以作出有价值的贡献，当代二语习得研究，特别是关于多因素决定的现象，如形容词顺序。
This study presents a contrastive analysis of 3624 instances of prenominal adjective order retrieved from the Chinese and German sections of the International Corpus of Learner English and the International Corpus of English. The data was annotated for nine determinants of adjective order, including semantic, frequency-related, and articulatory features. Applying a two-step regression procedure called MuPDAR (Multifactorial Prediction and Deviation Analysis Using Regressions), the present study finds that overall, the intermediate-advanced level learners are well-aligned with native speakers’ preferences. However, we also see that while the German learners seem generally better aligned with regard to frequency-related factors, the Chinese learners behave more target-like with regard to the effect of adjective gradability, and they seem more sensitive to segmental alternation constraints. In discussing these and other results, the study hopes to illustrate how corpus-based methods can make a valuable contribution to contemporary SLA research, specifically with regard to multifactorially determined phenomena such as adjective order.