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Coupling an annotated corpus and a lexicon for state-of-the-art POS tagging.

This paper investigates how to best couple hand-annotated data with information extracted from an external lexical resource to improve part-of-speech tagging performance. Focusing mostly on French tagging, we introduce a maximum entropy Markov model-based tagging system that is enriched with informa...

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Published in:Language Resources & Evaluation Vol. 46; no. 4; pp. 721 - 737
Main Authors: Denis, Pascal, Sagot, Benoît
Format: Article
Published: Springer Nature Dec2012
Subjects:
Lexicon
Performance evaluation
Markov processes
Data extraction
Maximum entropy method
Data analysis
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