A Study On Overlapping Acquisition Of Specific Quantifiers For Chinese Learners With Different Native Language Backgrounds

The particularity of Chinese language makes Chinese language learners encounter many difficulties in the process of learning.Classifiers are a very special kind of words in Chinese.In the mother tongues of many second language learners from other countries,there are no parts of speech corresponding to classifiers,which undoubtedly poses great difficulties for second language learners.Additionally,reduplication is a form of change occupying an unique position in Chinese language that lacks deformation,and has received widespread attention and discussion.Classifier reduplication is a combination of classifiers and reduplication,which is an important component of Chinese classifiers and widely exists in Chinese language,thus further increasing the learning difficulty for second language learners.To help Chinese learners better master the concept of classifier reduplication,in Chinese,many experts and scholars have conducted in-depth discussions on it from multiple perspectives.However,their research mainly focuses on classifiers,and there is no research on the acquisition condition of classifier reduplication in Chinese language for Chinese learners with different mother tongue backgrounds.In this context,in this paper,the acquisition condition of specific classifiers by Chinese learners with different mother tongue backgrounds was analyzed based on HSK dynamic composition corpus and global Chinese interlanguage corpus in the combination of previous research results,and corresponding teaching suggestions were put forward.This text of the paper consists of three chapters.In the introduction part,the research objectives and significance were many elaborated,and the research background and relevant literature at home and abroad were reviewed.In the first chapter,the achievements of the research on the ontology of classifiers were introduced,the research scope was selected,and the overlapping forms of specialized classifiers were determined as the objects for corpus selection.In the second chapter,a statistical analysis was conducted on the collected corpus,and the causes of bias errors based on their distribution characteristics were obtained.In the third chapter,corresponding teaching suggestions were proposed based on the analysis of the causes of bias errors.