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Semantic Errors Analysis Of Estimated Words Based On HSK Corpus

Posted on:2019-08-19Degree:MasterType:Thesis
Country:ChinaCandidate:J LiuFull Text:PDF
GTID:2405330551456189Subject:Chinese international education
Abstract/Summary:PDF Full Text Request
"Estimated class"words are used frequently in modern Chinese,and the usage and occasion of such words are often interchangeable.Based on the previous research methods,this paper analyzes the five semantic errors in the HSK dynamic composition corpus:Da gai(??),Da duo(??),Da dou(??),Da yue(??),and Da zhi(??).The semantic induction of CCL corpus and BCC corpus is used to find out the causes of errors and the corresponding teaching countermeasures are put forward.The first part is the introduction,including the significance of the research,research object,research review and research methods.The second part is the main part.In the second part,we find some confusing words in the HSK which are Da gai,Da duo,Da dou,Da yue,Da zhi and discussing there difference.When analyzing the differences of the five words,we found that: Da gai is frequently used in spoken English,focusing on the subjective conjecture of the speaker;Da duo is mainly about the limitation of quantity,representing the majority in a certain range;Da dou is relative to Da duo,contains the general meaning,does not have the limit definition;Da yue contains approximation,which is mainly an inaccurate estimate of the value.Da zhi is generally a summary of the overall or outline,with a rough nature.In addition,the semantic bias between these five words and other confusing words is analyzed.The third part is the conclusion.This paper sums up the characteristics of the estimated words,introduces the distribution of estimated words in the syllabus of Chinese proficiency test,and analyses the reasons why the second language learners are prone to errors.Finally,the paper puts forward the corresponding teaching strategies in view of the usage and characteristics of the estimated words.
Keywords/Search Tags:Classifier, Error analysis, Semantic analysis
PDF Full Text Request
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