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In this study, we offer some suggestions for the curriculum content design in teaching Mandarin Chinese as a second language based on our experimental works, with the aid of computational linguistics.
We present a framework for identifying the most representative sentence patterns from semantically and syntactically-annotated corpora via a Semantic Frame Generation (SFG). One of the difficulties to find out similar concepts from a text is because of the variations in linguistic expressions. SFG uses linguistic units as backbones to generate the most prominent patterns from various Chinese DE phrases.
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