留学生高频个体量词偏误分析及教学建议
发布时间：2018-08-17 19:28
【摘要】：汉语拥有丰富的个体量词,数词和名词结合时,一般需要在数词后面加量词,这是汉语的一大特点,同时也是留学生学习汉语的一大难点。量词难学、难用是不少留学生在学习汉语时面临的实际问题,本文选取了 10个高频个体量词作为研究对象,以"HSK动态作文语料库”为偏误语料来源,统计并归纳这10个个体量词在语料库出现的偏误次数和偏误类型,并根据这些偏误类型分析其形成的原因,最后针对留学生的量词教学提供了相应的教学建议。论文共分为五章:第一章绪论,介绍了本文选题缘由、研究目的、研究意义、术语的界定、研究现状、研究方法和研究思路。量词种类的划分一直是语言学界争论的问题,术语界定这部分介绍了语言学界主要的几种分类方式,以及一些学者关于"个体量词"的定义和讲解。研究现状主要介绍了个体量词的本体研究和在对外汉语中的偏误研究。本文最后依据《现代汉语频率词典》选出十个使用频率最高的个体量词作为研究对象。第二章介绍了十个高频个体量词的具体使用规律,包括语义、语法和语用3个方面。重点统计了个体量词在"HSK动态作文语料库"中出现的次数,错误的次数,以及错误的类型和具体的示例。第三章通过对数据的分析,归纳出了偏误类型并对偏误产生的原因进行分析。偏误类型可分为语法方面的偏误和书写方面的偏误。语法方面的偏误有:"个"的泛用、用错量词、漏用和本身的泛用。书写方面的偏误有:别字、错字和繁体字。偏误原因包括了母语负迁移,目的语负迁移和目的语知识不足。第四章提出教学建议,根据梳理总结出的偏误成因,针对教师、学生和教材分别提出了建议。第五章结语,对本论文的主要研究内容进行概括和总结,并指出研究的不足和有待深入之处。
[Abstract]:Chinese has a wealth of individual classifiers. When combining numerals and nouns, it is generally necessary to add quantifiers after numerals, which is a major feature of Chinese, and also a big difficulty for foreign students to learn Chinese. Quantifiers are difficult to learn and difficult to use are the practical problems many foreign students face in learning Chinese. This paper selects 10 high-frequency individual quantifiers as the research object, taking "HSK dynamic composition Corpus" as the source of error corpus. Statistics and induction of the 10 individual quantifiers in the corpus error times and error types, and according to these error types analysis of the causes of their formation, and finally for the teaching of classifiers for foreign students to provide corresponding teaching advice. The thesis is divided into five chapters: the first chapter is introduction, which introduces the reason, purpose, significance, definition of terms, research status, research methods and research ideas. The classification of classifiers has always been a controversial issue in linguists. This part introduces the main classification methods of linguists and the definitions and explanations of individual classifiers by some scholars. This paper mainly introduces the ontological study of individual quantifiers and the research of bias in TCFL. In the end, according to the Modern Chinese Frequency Dictionary, ten individual quantifiers with the highest frequency are selected as the research object. Chapter two introduces the rules of ten high frequency individual quantifiers, including semantic, grammatical and pragmatic aspects. The number of individual quantifiers appearing in the HSK dynamic composition Corpus, the number of errors, the types of errors and the concrete examples are analyzed. In the third chapter, through the analysis of the data, the types of errors are summarized and the causes of errors are analyzed. The types of errors can be divided into grammatical errors and writing errors. Grammatical errors include: the general use of "the", the use of wrong quantifiers, omissions and their own general use. Errors in writing include: other characters, wrong characters and complex characters. The reasons include negative transfer of mother tongue, negative transfer of target language and insufficient knowledge of target language. The fourth chapter puts forward teaching suggestions, according to the causes of errors summarized, teachers, students and teaching materials respectively put forward suggestions. The fifth chapter summarizes and summarizes the main research contents of this paper, and points out the shortcomings of the research.
【学位授予单位】：安徽大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：H195.3
[Abstract]:Chinese has a wealth of individual classifiers. When combining numerals and nouns, it is generally necessary to add quantifiers after numerals, which is a major feature of Chinese, and also a big difficulty for foreign students to learn Chinese. Quantifiers are difficult to learn and difficult to use are the practical problems many foreign students face in learning Chinese. This paper selects 10 high-frequency individual quantifiers as the research object, taking "HSK dynamic composition Corpus" as the source of error corpus. Statistics and induction of the 10 individual quantifiers in the corpus error times and error types, and according to these error types analysis of the causes of their formation, and finally for the teaching of classifiers for foreign students to provide corresponding teaching advice. The thesis is divided into five chapters: the first chapter is introduction, which introduces the reason, purpose, significance, definition of terms, research status, research methods and research ideas. The classification of classifiers has always been a controversial issue in linguists. This part introduces the main classification methods of linguists and the definitions and explanations of individual classifiers by some scholars. This paper mainly introduces the ontological study of individual quantifiers and the research of bias in TCFL. In the end, according to the Modern Chinese Frequency Dictionary, ten individual quantifiers with the highest frequency are selected as the research object. Chapter two introduces the rules of ten high frequency individual quantifiers, including semantic, grammatical and pragmatic aspects. The number of individual quantifiers appearing in the HSK dynamic composition Corpus, the number of errors, the types of errors and the concrete examples are analyzed. In the third chapter, through the analysis of the data, the types of errors are summarized and the causes of errors are analyzed. The types of errors can be divided into grammatical errors and writing errors. Grammatical errors include: the general use of "the", the use of wrong quantifiers, omissions and their own general use. Errors in writing include: other characters, wrong characters and complex characters. The reasons include negative transfer of mother tongue, negative transfer of target language and insufficient knowledge of target language. The fourth chapter puts forward teaching suggestions, according to the causes of errors summarized, teachers, students and teaching materials respectively put forward suggestions. The fifth chapter summarizes and summarizes the main research contents of this paper, and points out the shortcomings of the research.
【学位授予单位】：安徽大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：H195.3
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