Improving Tagging Performance by Using Voting Taggers

Computer Science – Computation and Language

Scientific paper

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Appears in proceedings of NLP+IA/TAL+AI'98. Moncton, New Brunswick, Canada, 1998

Scientific paper

We present a bootstrapping method to develop an annotated corpus, which is specially useful for languages with few available resources. The method is being applied to develop a corpus of Spanish of over 5Mw. The method consists on taking advantage of the collaboration of two different POS taggers. The cases in which both taggers agree present a higher accuracy and are used to retrain the taggers.

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