【摘要】 针对当前云搜索系统中中文分词仅仅采用简单的正向匹配最大算法和逆向最大匹配算法容易产生歧义的问题,提出了采用平均最大分词算法分词,并用最小分词偏离标准差消除歧义的方法进行云搜索系统的中文分词。经过测试,该算法明显优于正向最大匹配算法和逆向最大匹配算法。更多还原

【Abstract】 Most of the current cloud search system only used simple forward maximum matching algorithm or backward maximum matching algorithm to segment Chinese words,which caused wrong segmenting easily. To resolve this problem,maximum average word length algorithm and minimum standard deviation algorithm were proposed to segment Chinese word and eliminate the ambiguity. The test proved that the algorithm proposed is significantly better than forward maximum matching algorithm and backward maximum matching algorithm.更多还原