基于偏旁部首知识表示学习的汉字字形相似度计算方法

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Abstract The paper proposes a method for calculating the similarity of character glyphs, which aims to solve the problem of identifying similar Chinese characters. First, we construct a radical knowledge graph according to the character's composition. Then, based on the knowledge graph and structure features, the paper proposes 2CTransE to learn the semantic representation of entities. Finally, we calculate the character similarity by the entity vector. Results show that the method are effective in similar characters identification. And the component library can be used in the subsequent related researches. We also propose a novel method for Japanese and other similar languages in character similarity calculation.

Key words： knowledge graph representation learning Chinese character components similar characters.

Received: 01 August 2020

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	Articles by authors
	LIU Mengdi
	LIANG Xun

Cite this article:

LIU Mengdi,LIANG Xun. A Method of Chinese Character Glyph Similarity Calculation[J]. , 2021, 35(12): 47-59.

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http://jcip.cipsc.org.cn/EN/ OR http://jcip.cipsc.org.cn/EN/Y2021/V35/I12/47

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