Transformation-Based Learning of Danish Grammar Correction

نویسنده

  • Daniel Hardt
چکیده

We describe a technique for using the Brill Tagger to learn to identify grammar errors. We have applied this technique to two types of Danish grammar errors: incorrect commas, and incorrect article-noun agreement. The system identi es comma errors with a precision of 91%, while agreement errors are identi ed with 95% precision, with many of the system errors resulting from de ciencies in the tagger's lexicon, due to the small size of the training corpus. The technique is quite general, and could be directly applied to a large number of grammar checking problems in Danish or other languages. Transformation-Based Learning of Danish Grammar Correction

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تاریخ انتشار 2001