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pro vyhledávání: '"Chengyang Zhuang"'
Publikováno v:
IEEE Access, Vol 7, Pp 174699-174708 (2019)
The most common method of word embedding is to learn word vector representations from context information of large-scale text. However, Chinese words usually consist of characters, subcharacters, and strokes, and each part contains rich semantic info
Externí odkaz:
https://doaj.org/article/3dfae04e38a449ce95369359a5798dc2
