Abstract:

The authors try to transform dependency tree into phrase structure tree, and detect annotation errors automatically based on manual rules. The method is used in processing Peking University Multi-view Chinese Treebank (PMT). Although PMT has been manually checked twice before processed by this method, 1529 errors are detected among the 50275 sentences and the precision is 100%. The errors mainly belong to three types: word segmentation error, mismatching between POS and syntactic role, and syntactic role error. This method can further improve treebank quality, and be applied to other dependency treebanks.

Key words: treebank, part of speech, syntactic role, error detection

摘要：

尝试将依存树转化为短语结构树, 并基于规则的方法自动检测出人工标注结果中的错误。将该方法应用于已经过两遍人工校对的北京大学多视图依存树库, 从50275个句法树中发现1529处错误, 正确率为100%。进一步, 所有错误可以分为3个层次: 分词错误、词性与句法角色不符、句法角色错标。该方法可以有效提高依存树库的质量, 并且适用于各类型的依存树库。

关键词: 树库, 词性, 句法角色, 错误检测