Semantic transparency refers to the degree to which the meaning of the whole word can be inferred from its constituents. For Chinese, semantic radicals generally carry information about the meanings of Chinese characters and, thus, can be used to reflect semantic transparency of Chinese characters. For those Chinese characters having the same semantic radicals (i.e., neighboring characters), their meanings are assumed to be semantically related to each other. However, to what extent those neighboring characters are close in their meanings remains unclear. A conventional crowdsource approach could provide a coarse measure of semantic relationships between semantic neighbors. However, those approaches are generally limited to a small sample size of characters. Here, we proposed a corpus-based measure of semantic transparency, termed