Font Size: a A A

Research On Collective Quantifiers For Chinese International Education

Posted on:2019-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:X Y LiuFull Text:PDF
GTID:2435330548454586Subject:Full-time Chinese international education
Abstract/Summary:PDF Full Text Request
The number of Chinese quantifiers is very large,and the usage is flexible and complex,which is also one of the significant features of the Sino-tibetan language.However,the quantifier is the last kind of words that is officially named in Chinese,and it is weak in ontology research.The teaching of quantifiers has always been a difficulty in Teaching Chinese as a foreign language.The collective classifier is used in a high frequency and wide range,but the research on the collective classifier of Chinese international education is still very scarce.The research object of this paper is the collective classifier,based on the Beijing Language and Culture University HSK dynamic composition corpus,Chinese character biased corpus for overseas students of Sun yat-sen University,as well as the corpus in the questionnaire,the errors of international students is investigated and analyzed separately.We get the acquisition conditions of the collective classifier through scientific data statistics,analyze the error cause of the collective classifier and provide teaching strategies,the aim is to provide data for quantifier teaching of teaching Chinese as a foreign language.There are five parts in this paper:Introduction.Including three parts: the research status and the research trend of the collective classifier,the characteristics and nature of the collective classifier of modern Chinese,research ideas,research methods and the corpus source.Among them,the research status and the research trend of the collective classifier was investigated and discussed from three aspects: the research status of the ontology of collective classifier,the research status of teaching Chinese as a foreign language and the research trend.The characteristics and nature of the collective classifier of modern Chinese is discussed from three aspects: the grammatical features,semantic features and nature of the collective classifier.The first chapter is the Research of the Error of the Collective Classifier.The collective classifier was divided two kinds: collective classifiers showing determined number and collective classifiers showing undetermined number,the collective classifier showing undetermined number is divided into four small classes:configured righteousness collective classifier,gathering righteousness collective classifier,organizational collective classifier and surrounding righteous collective classifier.First of all,based on the systematic investigation of the error of the collective classifier in corpus,the rate of errors in otherwise using and multiple using of each quantifier are obtained.Then based on the survey of South Korean students,the systematic investigation of the error of the collective classifier is carried out and the rate of errors in otherwise using,missed using and multiple using of each quantifier are obtained.Finally,this chapter is summarized from threeaspects: the general using and errors of the collective classifier,the general errors of the Korean students of the collective classifier and the using characteristics of the collective classifier.The second chapter is the Research of the Error cause of the Collective Classifier.The error cause of the collective classifier is mainly summarized as the following three aspects: one is the Chinese themselves,including the voice and meaning of quantifiers,for example,the errors that are caused from the same or near voice and the meaning confusion between quantifiers.The second is the teaching factors,including the teacher's classroom teaching and the teaching material,such as the single teaching method and the unreasonable written textbook;The third is the learning factors,including the negative transfer of native language knowledge,the negative transfer of the target language knowledge,and learning strategies and communication strategies factors,such as the emergence of the missed using of South Korean students and the using of the avoidance strategy.Chapter three is the Research of Teaching Suggestions and Strategies for the Collective Classifier.Collective classifier was divided into two kinds: collective classifiers showing determined number and collective classifiers showing undetermined number,from the micro perspective,on the condition of the systematic analysis of each quantifier,scientific and reasonable teaching Suggestions are given from two aspects: the corpus and the questionnaire,mainly including bias types that should be paid attention,whether to pay attention to improve the usage rate and so on;from a macro point of view,relevant teaching strategies are given from three aspects: the combination of the ontology research and the teaching practice,the combination of the errors research and the textbook writing,the combination of the errors research and the teaching practice.On the combination of the ontology research and the teaching practice,we should do a good job of ontology research and promote the teaching practice by the ontology research,inspection and review the ontology research by the teaching practice.On the combination of the errors research and the textbook writing,we can know what kind of errors International students from different countries is easy to make by questionnaire and provide reference for textbook writer.On the combination of the errors research and the teaching practice,we should pay attention to the resolution of quantifiers and teaching students according to their aptitude.Conclusion.In this part,we comprehensively summarize the errors of the collective classifier and analyze relevant teaching suggestions and strategies so as to combine the research of this paper with the teaching practice of Chinese international education.
Keywords/Search Tags:collective classifier, Chinese international education, errors, corpus, teaching strategies
PDF Full Text Request
Related items