Review and prospect of international Chinese education text readability research

the research on text readability in the field of international Chinese education adopts the method of quantitative analysis of texts, calculates the difficulty coefficient of texts, and reflects the difficulty level of texts through objective numerical values. The main methods include quantitative analysis of elements, readability formula method, and feature based machine learning method. Quantitative analysis method is used to screen text feature elements and quantify them, and the difficulty values of each element are added or the comprehensive difficulty coefficient is calculated using the readability formula to evaluate the difficulty of the text; The readability formula method takes the learner's cloze test score as the dependent variable and the text feature factors that affect the readability of the text as the independent variables. Multiple regression analysis is used to establish a multiple regression equation; The feature based machine learning method characterizes text features that affect readability as relevant data and establishes mathematical models using classification methods such as support vector machines. Through our analysis, it has been found that existing research mainly focuses on the text readability of middle and intermediate level Chinese language textbooks for foreigners, often selecting quantifiable text feature factors. The measurement of text readability is mainly carried out through formula methods, lacking research on text readability from an interdisciplinary perspective. Future research should focus on the text readability of advanced Chinese as a foreign language textbooks, improve the measurement methods for text readability, and include factors such as learners, learning environment, and cultural background in the measurement scope. Qualitative research methods should be used to examine text feature factors that are difficult to quantify, and interdisciplinary research should be conducted in conjunction with disciplines such as computers and artificial intelligence.

international chinese language education, text readability, type and characteristics