如何将日语激进角色转换为＆＃34;常规＆＃34;汉字字符对应物？
例如，激进之火的角色是⽕（Unicode值为12117）
常规字符是火（Unicode值为28779）
编辑：
为了澄清，我认为我需要这个的原因是因为我想通过使用kanjivg数据集获得每个部首的笔划信息。但是，（我需要进一步研究），我不确定kanjivg是否有激进角色的笔画数据，但它肯定有常规汉字字符的笔画数据。
我使用的语言是Java - 但我认为任何语言的转换都是类似的。
答案 0 :(得分：6)
使用RADKFILE这是一个很好的想法（@Paul），但我不认为它使用康熙激进因为它在EUC-JP编码，如果我的浏览器（或Github）没有＆＃39 ; t自动转换康熙/汉字，只要我们谈论Unicode，列表中只有非康熙字符。
康熙激进派的Unicode范围在本维基百科页面上：Unicode/Character reference/2000-2FFF（下）。
有人在他们之间创建了一个映射：Kanji to Kangxi Radical remapping tables。我没有检查正确性，但是当您将代码点转换为字符时，您可以看到它们看起来是否相同。以下是您在Java中的使用方法：Creating Unicode character from its number
为方便起见，这里是CSV列表（汉字，激进）：
0x4E00,0x2F00
0x4E28,0x2F01
0x4E36,0x2F02
0x4E3F,0x2F03
0x4E59,0x2F04
0x4E85,0x2F05
0x4E8C,0x2F06
0x4EA0,0x2F07
0x4EBA,0x2F08
0x513F,0x2F09
0x5165,0x2F0A
0x516B,0x2F0B
0x5182,0x2F0C
0x5196,0x2F0D
0x51AB,0x2F0E
0x51E0,0x2F0F
0x51F5,0x2F10
0x5200,0x2F11
0x529B,0x2F12
0x52F9,0x2F13
0x5315,0x2F14
0x531A,0x2F15
0x5338,0x2F16
0x5341,0x2F17
0x535C,0x2F18
0x5369,0x2F19
0x5382,0x2F1A
0x53B6,0x2F1B
0x53C8,0x2F1C
0x53E3,0x2F1D
0x56D7,0x2F1E
0x571F,0x2F1F
0x58EB,0x2F20
0x5902,0x2F21
0x590A,0x2F22
0x5915,0x2F23
0x5927,0x2F24
0x5973,0x2F25
0x5B50,0x2F26
0x5B80,0x2F27
0x5BF8,0x2F28
0x5C0F,0x2F29
0x5C22,0x2F2A
0x5C38,0x2F2B
0x5C6E,0x2F2C
0x5C71,0x2F2D
0x5DDB,0x2F2E
0x5DE5,0x2F2F
0x5DF1,0x2F30
0x5DFE,0x2F31
0x5E72,0x2F32
0x5E7A,0x2F33
0x5E7F,0x2F34
0x5EF4,0x2F35
0x5EFE,0x2F36
0x5F0B,0x2F37
0x5F13,0x2F38
0x5F50,0x2F39
0x5F61,0x2F3A
0x5F73,0x2F3B
0x5FC3,0x2F3C
0x6208,0x2F3D
0x6236,0x2F3E
0x624B,0x2F3F
0x652F,0x2F40
0x6534,0x2F41
0x6587,0x2F42
0x6597,0x2F43
0x65A4,0x2F44
0x65B9,0x2F45
0x65E0,0x2F46
0x65E5,0x2F47
0x66F0,0x2F48
0x6708,0x2F49
0x6728,0x2F4A
0x6B20,0x2F4B
0x6B62,0x2F4C
0x6B79,0x2F4D
0x6BB3,0x2F4E
0x6BCB,0x2F4F
0x6BD4,0x2F50
0x6BDB,0x2F51
0x6C0F,0x2F52
0x6C14,0x2F53
0x6C34,0x2F54
0x706B,0x2F55
0x722A,0x2F56
0x7236,0x2F57
0x723B,0x2F58
0x723F,0x2F59
0x7247,0x2F5A
0x7259,0x2F5B
0x725B,0x2F5C
0x72AC,0x2F5D
0x7384,0x2F5E
0x7389,0x2F5F
0x74DC,0x2F60
0x74E6,0x2F61
0x7518,0x2F62
0x751F,0x2F63
0x7528,0x2F64
0x7530,0x2F65
0x758B,0x2F66
0x7592,0x2F67
0x7676,0x2F68
0x767D,0x2F69
0x76AE,0x2F6A
0x76BF,0x2F6B
0x76EE,0x2F6C
0x77DB,0x2F6D
0x77E2,0x2F6E
0x77F3,0x2F6F
0x793A,0x2F70
0x79B8,0x2F71
0x79BE,0x2F72
0x7A74,0x2F73
0x7ACB,0x2F74
0x7AF9,0x2F75
0x7C73,0x2F76
0x7CF8,0x2F77
0x7F36,0x2F78
0x7F51,0x2F79
0x7F8A,0x2F7A
0x7FBD,0x2F7B
0x8001,0x2F7C
0x800C,0x2F7D
0x8012,0x2F7E
0x8033,0x2F7F
0x807F,0x2F80
0x8089,0x2F81
0x81E3,0x2F82
0x81EA,0x2F83
0x81F3,0x2F84
0x81FC,0x2F85
0x820C,0x2F86
0x821B,0x2F87
0x821F,0x2F88
0x826E,0x2F89
0x8272,0x2F8A
0x8278,0x2F8B
0x864D,0x2F8C
0x866B,0x2F8D
0x8840,0x2F8E
0x884C,0x2F8F
0x8863,0x2F90
0x897E,0x2F91
0x898B,0x2F92
0x89D2,0x2F93
0x8A00,0x2F94
0x8C37,0x2F95
0x8C46,0x2F96
0x8C55,0x2F97
0x8C78,0x2F98
0x8C9D,0x2F99
0x8D64,0x2F9A
0x8D70,0x2F9B
0x8DB3,0x2F9C
0x8EAB,0x2F9D
0x8ECA,0x2F9E
0x8F9B,0x2F9F
0x8FB0,0x2FA0
0x8FB5,0x2FA1
0x9091,0x2FA2
0x9149,0x2FA3
0x91C6,0x2FA4
0x91CC,0x2FA5
0x91D1,0x2FA6
0x9577,0x2FA7
0x9580,0x2FA8
0x961C,0x2FA9
0x96B6,0x2FAA
0x96B9,0x2FAB
0x96E8,0x2FAC
0x9751,0x2FAD
0x975E,0x2FAE
0x9762,0x2FAF
0x9769,0x2FB0
0x97CB,0x2FB1
0x97ED,0x2FB2
0x97F3,0x2FB3
0x9801,0x2FB4
0x98A8,0x2FB5
0x98DB,0x2FB6
0x98DF,0x2FB7
0x9996,0x2FB8
0x9999,0x2FB9
0x99AC,0x2FBA
0x9AA8,0x2FBB
0x9AD8,0x2FBC
0x9ADF,0x2FBD
0x9B25,0x2FBE
0x9B2F,0x2FBF
0x9B32,0x2FC0
0x9B3C,0x2FC1
0x9B5A,0x2FC2
0x9CE5,0x2FC3
0x9E75,0x2FC4
0x9E7F,0x2FC5
0x9EA5,0x2FC6
0x9EBB,0x2FC7
0x9EC3,0x2FC8
0x9ECD,0x2FC9
0x9ED1,0x2FCA
0x9EF9,0x2FCB
0x9EFD,0x2FCC
0x9F0E,0x2FCD
0x9F13,0x2FCE
0x9F20,0x2FCF
0x9F3B,0x2FD0
0x9F4A,0x2FD1
0x9F52,0x2FD2
0x9F8D,0x2FD3
0x9F9C,0x2FD4
0x9FA0,0x2FD5
答案 1 :(得分：3)
目前还不完全清楚为什么要这样做，但有一种可行的方法是使用Jim Breen的radkfile文件将自由基映射到相关的kanjis，反之亦然。将其与一些启发式和Breen的kanjidic文件（在这些资源可靠的范围内）相结合，您可以非常轻松地生成映射。这是Python中的一个例子，它使用cjktools库，它包含了这些东西的Python包装器。
from cjktools.resources.radkdict import RadkDict
from cjktools.resources.kanjidic import Kanjidic
def make_rad_to_kanji_dict():
rdict = RadkDict()
kdict = Kanjidic()
# Get all the radicals where there are kanji made up entirely of the one
# radical - the ones we want are a subset of those
tmp = ((rads[0], kanji) for kanji, rads in rdict.items()
if len(rads) == 1)
# All the ones with the same number of strokes - should be all the ones that
# are homographs
out = {rad: kanji for rad, kanji in tmp
if (kanji in kdict and
kdict[kanji].stroke_count == rdict.radical_to_stroke_count[rad])}
return out
RAD_TO_KANJI_DICT = make_rad_to_kanji_dict()
if __name__ == "__main__":
print(RAD_TO_KANJI_DICT['⽕'])
您可以遍历它生成的文件并轻松输出静态映射。对于那种事情，可能存在现有的同形异义词列表，但我不知道。 radkdict只有128个汉字由1个激进组成，因此只需枚举所有这些并手动检查哪些符合您的标准也是一件简单的事情。
注意：我浏览了＆＃34所包含的事物列表;由一个激进的＆＃34;组成。启发式但跳过了＆＃34;具有相同的笔画顺序＆＃34;列表，似乎＆＃39;老＆＃39; （激进的） - ＆gt; ＆＃39;老＆＃39; （汉字）和＆＃39;刈＆＃39; （激进的） - ＆gt; ＆＃39;刈＆＃39; （汉字）是唯一一个因此而无法被抓住的人。 Here is a CSV generated with this method