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20182025
most citedHierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks

22 citations · 52 across the 11 of their papers we have counts for

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cs.CL2019★ 22 cited

Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks

Minh Nguyen, Gia H. Ngo, Nancy F. Chen

Logographs (Chinese characters) have recursive structures (i.e. hierarchies of sub-units in logographs) that contain phonological and semantic information, as developmental psychol…