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- W4296439987 abstract "This study is based on a small-scale corpus of 15 reading texts of the National Matriculation English Test in 2021, one of the largest-scale and the most influential high-stakes tests in China, which includes three types of nationwide version examination papers and one local version examination paper (i.e., Zhejiang Province version). A variety of natural language processing tools were used to carry out an in-depth investigation into text complexity of NMET reading from fore aspects, namely length, vocabulary, syntax and cohesion. Results suggest that these texts are similar in the examined quantitative indices and in a reasonable range. Pedagogical implications of the study were thereafter discussed." @default.
- W4296439987 created "2022-09-20" @default.
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- W4296439987 date "2022-03-01" @default.
- W4296439987 modified "2023-10-03" @default.
- W4296439987 title "Investigating Text Complexity of Reading in National Matriculation English Test" @default.
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- W4296439987 doi "https://doi.org/10.1109/icnlp55136.2022.00071" @default.
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