Abstract: The authors recognized the adverb DOU’s usages with two methods, rule-based and statistics-based, and analyzed theirs advantages and disadvantages, respectively. And then, the methods of rule-based and statistical- based were combined. The accuracies of these three methods are 82%, 89.62% and 98.54%. The experiments show that combination method of rule-based and statistical-based is more effective in automatically recognizing of adverb DOU’s usages.

Key words: natural language process, usage rule, conditional random fields, automatic identification, DOU

摘要： 首先对副词“都”分别进行基于规则和基于统计两种方法的用法自动识别研究, 并具体分析它们的优点和不足, 然后尝试了规则与统计相结合的方法。3种方法的准确率分别为82%, 89.62%和98.54%, 实验数据表明, 采用规则和统计相结合的方法使副词“都”用法的自动识别取得较好的效果。

关键词: 自然语言处理, 用法规则, 条件随机场, 自动识别, 都