nlp - what are the methods to estimate probabilities of production rules? -


i know n-gram useful finding probability of words,i want know, how estimate probabilities of production rules? how many methods or rules calculate probabilities of production rules?

i not find blog or on topic.now studying on probabilistic context free grammar & cky parsing algorithm.

as understand question, asking how estimate parameters of pcfg model data.

in short, it's easy make empirical production-rule probability estimates when have ground-truth parses in training data. if want estimate probability s -> np vp, count(s -> np vp) / count(s -> *), * possible subtree.

you can find more formal statement in lots of places on web (search "pcfg estimation" or "pcfg learning"). here's nice 1 michael collins' lecture notes: http://www.cs.columbia.edu/~mcollins/courses/nlp2011/notes/pcfgs.pdf#page=9


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