The Research On Chinese Classifier In Mongolia

Chinese classifier is rich and its usage is also very complex,classifier is the last to be carved out of parts of speech, classifier researchis still in its infancy. In Sino-Tibetan language, what classifier containedin the meaning of has very important position. In teaching practice, wealso found that Chinese learners will produce a lot of errors in the processof acquisition classifiers. Therefore, teaching of measure words is adifficulty thing in teaching Chinese as a second language teaching.In this paper, a questionnaire survey of Chinese learners, as well asthe analysis of the current textbooks and summarize the errors of theclassifier Mongolia students learnt at the present stage. Through thequantifiers test to test the different levels of Chinese learners. It dividedinto4chapters:In the introduction chapter， thesis briefly introduces the coreobjectives of research，literature views，including with research resourceand methodology. The first chapter is the comparison between Chineseand Mongolia measure words，describes the general characteristics，structure and function of Chinese and Mongolia measure words，in bothsimilarities and differences. The second chapter is about tool-designs and the analysis results，then listing the typical errors in acquisition ofmeasure words by Mongolia students. The third chapter summarizes theroots of errors from the factors which affect to Mogolia students inChinese learning e.g. interference，teaching materials，training，cultureand logic causes. The forth chapter suggests some effective methods. Inorder to enhance the study of Chinese Measure words for Mongoliastudents，the paper also Provides students’ manual.According to the above problem, we put forward the followingcountermeasures: according difficulty of the quantifier actual usage toarrange the whole process of quantifiers teaching, In accordance with thedifferent stages and different levels of students, we should conducthierarchical teaching. Quantifier learning in teaching Chinese as a foreignlanguage is still a relatively weak link.