Difference between revisions of "Part-of-speech tagging"
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==Training== |
==Training== |
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− | ===Expectation-Maximisation (EM)== |
+ | ===Expectation-Maximisation (EM)=== |
===Baum-Welch=== |
===Baum-Welch=== |
Revision as of 09:32, 3 September 2008
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
Training
Expectation-Maximisation (EM)
Baum-Welch
Tagging
Viterbi
Notes
- ↑ Also referred to as "parts-of-speech", e.g. Noun, Verb, Adjective, Adverb, Conjunction, etc.