We describe a stochastic approach to partial parsing, i.e., the recognition
of syntactic structures of limited depth. The technique utilises Markov Models,
but goes beyond usual bracketing approaches, since it is capable of recognising
not only the boundaries, but also the internal structure and syntactic category
of simple as well as complex NP's, PP's, AP's and adverbials. We compare
tagging accuracy for different applications and encoding schemes.Comment: 7 pages, LaTe