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Chinese, as a linguistic system rich in depth and complexity, is characterized by distinctive elements such as ancient poetry, proverbs, idioms, and other cultural constructs.
The Prague School of structural and functional linguistics , volume 41
Philip A Luelsdorff. 1994 · 1994
Earlier work this paper cites.
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Earlier work this paper cites.
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