e/Inside-outside algorithm

Information
has gloss	eng: The inside-outside algorithm is a way of re-estimating production probabilities in a probabilistic context-free grammar. It was introduced by James K. Baker in 1979 as a generalization of the forward-backward algorithm for parameter estimation on hidden Markov models to stochastic context-free grammars. It is used to compute expectations, for example as part of the Expectation-maximization algorithm (an unsupervised learning algorithm).
lexicalization	eng: inside-outside algorithm
instance of	c/Parsing algorithms