多模态视域下动态助词“过”的偏误分析与教学策略——以英语母语者为例

Error Analysis and Teaching Strategies of the Dynamic Particle “Guo” from a Multimodal Perspective—Taking Native English Speakers as an Example

摘要: 汉语的词类以功能特点分为实词和虚词，虚词只有语法意义，没有实际意义，它的种类十分复杂且在汉语表达中的使用频率也很高。动态助词在汉语中是使用频率很高的词类，其意义和用法也比较复杂，对于留学生来说是一个比较难的知识点，也是汉语教师教学的一个重难点。传统汉语教材以及课堂教学方法多存在输入模态单一的问题，容易导致学习者对动态助词“过”的语义特征理解不深或产生偏差。多模态教学法具有先进的教学理念和实践价值，已经逐渐成为语法教学的新趋势。因此本文首先基于语料库为数据支撑，对英语母语者习得“过”的偏误进行分类，然后从输入模态单一性与偏误类型的关系出发分析偏误成因，最后针对各类偏误及其成因设计对应的多模态教学策略。

Abstract: In Chinese, word classes are classified into content words and function words based on their functional characteristics. Function words only have grammatical meanings without actual semantic meanings. Their categories are extremely complex, and they are used very frequently in Chinese expressions. Dynamic particles are a word class with a high usage frequency in Chinese. Their meanings and usages are also relatively complex. For international students, this is a rather difficult knowledge point, and it is also a key and difficult point in Chinese teaching for Chinese teachers. Using traditional teaching methods to teach this language point yields little effect. The multimodal teaching method has advanced teaching concepts and practical value and has gradually become a new trend in grammar teaching. Accordingly, this paper first classifies the errors of the Chinese aspect particle “guo” made by native English speakers based on corpus-supported data, then analyzes the causes of the errors from the perspectives of the relationship between the uniformity of input modalities and error types, and finally designs corresponding multimodal teaching strategies for each type of errors and their respective causes.