| 汉语母语和二语书面表现的对比分析——以小学高年级中国学生和大学高年级越南学生的同题汉语作文为例 |
| |
| 引用本文： | 曹贤文,邓素娟.汉语母语和二语书面表现的对比分析——以小学高年级中国学生和大学高年级越南学生的同题汉语作文为例[J].暨南大学华文学院学报,2012(2):39-46. |
| |
| 作者姓名： | 曹贤文 邓素娟 |
| |
| 作者单位： | 南京大学海外教育学院,江苏,南京210093 |
| |
| 摘 要： | 本研究以小学高年级中国学生和大学高年级越南学生的同题汉语作文为例，从流利性、准确性、复杂性和多样性四个维度，对上述两组被试的书面语言表现进行了测量。统计结果显示，中国学生组的流利性和准确性各项指标均高于越南学生组，尤其在流利性及词汇与句法准确性方面，两组之间存在统计意义上的显著差异；在复杂性方面，两组被试的汉字和词语复杂性测量数据差别不明显，但越南学生组在以T单位长度为指标的句法复杂性方面显著高于中国学生组；在多样性方面，越南学生组的各项指标均高于中国学生组，不过两组之间只在词语多样性方面存在显著差异。这些发现揭示了汉语母语和二语书面表现的不同发展特点．
|
| 关 键 词： | 汉语习得 书面语言表现 流利性 准确性 复杂性 多样性 |
The Contrastive Analysis of the Writing Performance in Chinese as L1 and L2:Based on the Chinese Compositions on the Same Topic among Chinese Senior Elementary Students and Vietnam Senior University Students |
| |
| Cao Xianwen
,
Deng Sujuan.The Contrastive Analysis of the Writing Performance in Chinese as L1 and L2:Based on the Chinese Compositions on the Same Topic among Chinese Senior Elementary Students and Vietnam Senior University Students[J].Journal of College of Chinese Language and Culture of Jinan University,2012(2):39-46. |
| |
| Authors: | Cao Xianwen Deng Sujuan |
| |
| Institution: | 1.2. Institute for International Student, Nanjing University, Jiangsu, Nanjing 210093, China) |
| |
| Abstract: | This study measures the fluency, accuracy, complexity and diversity of language performance in the task of writing a Chinese composition on the same topic by Chinese students in elementary school in high grade and senior Vietnamese students in university. The statistical findings are as follows： While the fluency and accuracy indexes of the Chinese stu- dents＇ composition are above those of the Vietnamese students, the complexity and diversity indexes of the Vietnamese stu- dents＇ composition are above the Chinese students＇ . These findings reveal different features in the development of Chinese as a First Language （L1） and Chinese as a Second Language （L2） . |
| |
| Keywords: | Chinese acquisition writing performance fluency accuracy complexity diversity |
| 本文献已被 维普 万方数据 等数据库收录！ |
