Grammatical category disambiguation by statistical optimization
Computational Linguistics
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Parsing with a small dictionary for applications such as text to speech
Computational Linguistics
"The first million is hardest to get": building a large tagged corpus as automatically as possible
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
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MorP is a system for automatic word class assignment on the basis of surface features. It has a very small lexicon of form words (‰ entries), and for the rest works entirely on morphological and configurational patterns. This makes it robust and fast, and in spite of the (deliberate) restrictedness of the system, its performance reaches an average accuracy level above 91% when run on unrestricted Swedish text.