Difference between revisions of "Part-of-speech tagging"
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Revision as of 07:36, 15 September 2008
Part-of-speech tagging is the process of assigning unambiguous grammatical categories to words in context. The crux of the problem is that surface forms of words can often be assigned more than one part-of-speech by morphological analysis. For example in English, the word "trap" can be both a singular noun ("a trap") or a verb ("I'll trap it").
This page intends to give an overview of how part-of-speech tagging works in Apertium, primarily within the
apertium-tagger, but giving a short overview of constraints (as in constraint grammar) and restrictions (as in
apertium-tagger) as well.
Hidden Markov models
A hidden Markov model is a statistical model of .......
- Also referred to as "parts-of-speech", e.g. Noun, Verb, Adjective, Adverb, Conjunction, etc.