中文摘要：

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。

英文摘要：

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.