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Open access Sep 2026

Automated assessment and cross-system benchmarking of Chinese reading text difficulty via multi-model analysis

Text difficulty assessment is a significant task in natural language processing (NLP) and language education, providing an important basis for reading material selection and curriculum articulation. Using computational models as analytical tools, this study develops and evaluates a multidimensional automated framewor...

Ke Shen, Lu Xue, Shuang-Yun Yao · 0 citations

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