Part-of-speech tagging
Revision as of 09:35, 3 September 2008 by Francis Tyers (talk | contribs)
Part-of-speech tagging is the process of assigning unambiguous grammatical categories[1] 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
Ambiguity classes
Training
Expectation-Maximisation (EM)
Baum-Welch
Tagging
Viterbi
Notes
- ↑ Also referred to as "parts-of-speech", e.g. Noun, Verb, Adjective, Adverb, Conjunction, etc.