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The module is a probability based, corpus-trained tagger that assigns POStags to English text based on a lookup dictionary and a set of probabilityvalues. The tagger assigns appropriate tags based on conditionalprobabilities - it examines the preceding tag to determine the appropriatetag for the current word. Unknown words are classified according to wordmorphology or can be set to be treated as nouns or other parts of speech.The tagger also extracts as many nouns and noun phrases as it can, using aset of regular expressions.