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Based On The Bias Of The Individual Name Quantifiers Commonly Used In HSK Dynamic Composition Corpus

Posted on:2019-03-28Degree:MasterType:Thesis
Country:ChinaCandidate:H ZhaoFull Text:PDF
GTID:2355330542484505Subject:Chinese international education
Abstract/Summary:PDF Full Text Request
When the numeral and the noun combined,classifier should be added behind the numeral.This is one of the characteristic of Chinese.The lack of classifiers in language of Indo-European linguistics family is one of the important factors that caused difficulties for foreigners studying Chinese classifiers.The common problem the worldwide foreigners being obsessed with is that learning and using Chinese classifiers is too hard.Especially individual classifier is a kind of quantifier which is the first contact with foreign students in learning.Thus that is the reason why many errors were appeared frequently when foreign students study it.This paper takes "HSK dynamic composition corpus" as the source of error analysis,and combines with the "Chinese level vocabulary and the outline of Chinese characters",and finally selects twelve individual classifiers with the highest frequency of using according to the modern Chinese Frequency Dictionary.And it makes an error analysis of the errors of the individual classifiers in "HSK dynamic composition corpus",then summarizes the causes of the errors.At last,on the basis of the conclusion,the paper puts forward some relevant teaching methods and strategies,hoping the above analysis could provide some reference for Chinese learners as well as individual classifiers teaching activities.
Keywords/Search Tags:Frequently-used individual classifiers, HSK dynamic composition corpus, Error analysis, Teaching strategies
PDF Full Text Request
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