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Part of speech tagger

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Carl
Dixon
This light-weight part of speech tagger achieves 90% word accuracy on test data. It does this using a small dictionary and a bi-gram of tag transition probabilities. Training was performed with Wall Street Journal data from the CoNLL shared tasks. The dictionary contains 23,500 words from various word frequency lists (mostly on Wiktionary), with tags taken from the training data and entered manually.
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