Probabilistic parsing is using dynamic programming algorithms
to compute the most likely parse(s) of a given sentence, given a
statistical model of the syntactic structure of a language. Research at
Stanford has focused on improving the statistical models used as well as
the algorithms. Models have been developed for parsing in several
languages other than English, including Chinese, Arabic, and German.
A java implementation of The Stanford Parser (the parse model which is the
basis of much of our work) is available online.