Abstract:

The pronunciation of family name and the conventional pronunciation of the polyphone in GBK standard Chinese library were analysed. Then these spellings not common use in name were removed, that reduced the coincident codes greately. The next, the left coincident codes  were treated intelligently, which could reducd the operation of selecting coincident codes further. At last, converting code table of the first letter of spelling was created and the converting algorithm was designed. The code table and algorithm can convert efficiently the first letter of spelling and the rate of coincident code reduces from 14.4 percent to 3.7 percent.

Key words: the first letter of spelling, coincident code, name, Chinese characters, intelligence

摘要：

在GBK汉字库范围内，通过分析姓氏汉字的读音和多音字用作名字时的习惯读音，去掉了在姓名中很少使用的读音，从而大幅度降低了首音重码；然后对仍有重码的汉字进行智能处理，进一步减少了重码选择；最后生成了首音转换码表，并设计转换算法，能够实现首音码的高效自动转换，使重码选择率从14.4%降为3.7%。

关键词: 首音码, 重码, 姓名, 汉字, 智能