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A flexible POS tagger using an automatically acquired language model

conference of the european chapter of the association for computational linguistics, (1997): 238-245

引用62|浏览26
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摘要

We present an algorithm that automatically learns context constraints using statistical decision trees. We then use the acquired constraints in a flexible POS tagger. The tagger is able to use information of any degree: n-grams, automatically learned context constraints, linguistically motivated manually written constraints, etc. The sour...更多

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