Detecting Syntactic Errors in Dependency Treebanks for Morphosyntactically Rich Languages

机译：检测依存句法丰富语言的依存树库中的语法错误

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The paper introduces a new method for detecting and correcting errors in large dependency treebanks with rich morphosyntactic annotation. The technique uses error correction rules automatically extracted from the treebank. The procedure of rule extraction is based on a comparison of similar - but not identical - subgraphs of dependency structures. The outcome of applying the method to a 3-million-sentence dependency treebank of Polish is presented and evaluated. The method achieves satisfactory precision in the task of automatic error correction and relatively high precision in the task of error detection.

机译：本文介绍了一种新的检测和纠正带有丰富句法注释的大依赖树库错误的方法。该技术使用从树库中自动提取的纠错规则。规则提取的过程基于相依结构的相似但不相同的子图的比较。提出并评估了将该方法应用于波兰语的300万句依赖树库的结果。该方法在自动纠错任务中达到了令人满意的精度，在检错任务中达到了较高的精度。

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来源
《Language processing and intelligent information systems》|2013年|69-79|共11页
会议地点 Warsaw(PL)
作者
Katarzyna Krasnowska; Adam Przepiorkowski;
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作者单位

Institute of Computer Science, Polish Academy of Sciences;

Institute of Computer Science, Polish Academy of Sciences;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
dependency treebank; error mining; automatic error detection; automatic error correction;

机译：依赖树库错误挖掘；自动错误检测；自动纠错;

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机译：使用依赖项解析和树库查询检测机器翻译输出中的语法错误

Detecting Syntactic Errors in Dependency Treebanks for Morphosyntactically Rich Languages

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