Prof. Dr. Walt Detmar Meurers
Detecting Errors in Part-of-Speech Annotation


Markus Dickinson and Walt Detmar Meurers


Proceedings of EACL'03.


We propose a new method for detecting errors in ``gold-standard'' part-of-speech annotation. The approach locates errors with high precision based on n-grams occurring in the corpus with multiple taggings. Two further techniques, closed-class analysis and finite-state tagging guide patterns, are discussed. The success of the three approaches is illustrated for the Wall Street Journal corpus as part of the Penn Treebank.


The variation n-gram code used in the paper is freely available (written in python). Just send me an e-mail at the address below.



Electronically available file formats:

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Bibtex entry:

    author =       {Markus Dickinson and W. Detmar Meurers},
    title =        {Detecting Errors in Part-of-Speech Annotation},
    booktitle =    {Proceedings of the 10th Conference of the European 
    Chapter of the Association for Computational Linguistics 
    pages=         {107--114},
    address =      {Budapest, Hungary},
    url =          {},
    year =         {2003}