Lining Liu
ABSTRACT
Since the beginning of the Medical Chinese (MC) course, Medical Chinese textbooks have been compiled since the 1960s, and now it has experienced 60 years of development. As the support of Medical Chinese teaching, the research on the teaching content and teaching difficulty of Medical Chinese textbooks has become an important topic to improve Medical Chinese teaching, help foreign students enter the medical major as soon as possible and smoothly carry out medical practice. Therefore, it is necessary to further intervene the results of Repeated bisection clustering (RBC) clustering in order to improve the scientificity of the construction of Medical Chinese readability corpus. After using RBC to divide the corpus into six categories, our method uses Hanyu Shuiping Kaoshi (HSK) vocabulary and Medical Chinese Test (MCT) vocabulary to measure the proportion of words at all grades in the text. Practice has proved that the method of creating Medical Chinese readable corpus is effective.
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Index Terms
- An Automatic Method of Constructing Readability Corpus for International Medical Chinese Teaching
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