Upon this foundation , a corpus - based algorithm was designed and implemented to acquire and filter binary semantic pattern rules automatically . in the algorithm , a data mining method for cross - level association rules is adopted , which is guided by metarule , to find the semantic laws of word combinations in chinese phrase corpus . then statistic results are used to filter the findings 在此基礎(chǔ)上,本文設(shè)計(jì)并實(shí)現(xiàn)了基于語(yǔ)料庫(kù)的二元語(yǔ)義模式規(guī)則自動(dòng)挖掘和優(yōu)選算法,該算法先采用數(shù)據(jù)挖掘中元規(guī)則制導(dǎo)的交叉層關(guān)聯(lián)規(guī)則挖掘方法,自動(dòng)發(fā)現(xiàn)漢語(yǔ)短語(yǔ)熟語(yǔ)料庫(kù)中詞語(yǔ)兩兩組合的語(yǔ)義規(guī)律,再根據(jù)統(tǒng)計(jì)結(jié)果自動(dòng)優(yōu)選后轉(zhuǎn)換生成候選二元語(yǔ)義模式規(guī)則集。