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Baker Bani Khair; Abdullah K. Shehabat; Ali M. Alnawaiseh; Issam Mostafa Taamneh; Tariq Jameel Alsoud; Firas Abu Hardan – Eurasian Journal of Applied Linguistics, 2024
Despite the progress in information technology, artificial intelligence as well as all kinds of machine translation software, we found that to dynamically capture the essence and the spirit of the cultural item, one needs to resort to the human mind rather than to the machine that only decodes words away from their shades of meaning. The objective…
Descriptors: Translation, Semantics, Artificial Intelligence, Computational Linguistics
Miaomiao Liu; Yixun Li; Yongqiang Su; Hong Li – Scientific Studies of Reading, 2024
Purpose: This study sought to 1) identify linguistic features important for Chinese text complexity with a theory-based and systematic approach, and 2) address how feature sets and algorithms affect the performance of Chinese text complexity models. Method: Texts from Chinese language arts textbooks from Grades 1 to 6 (N = 1,478) in Mainland China…
Descriptors: Difficulty Level, Textbooks, Algorithms, Artificial Intelligence