This paper 1 presents a rapid and robust pars- ing system currently used to learn from large bodies of unedited text. The system contains a multivalued part-of-speech disambiguator and a novel parser employing bottom-up recogni- tion to find the constituent phrases of larger structures that might be too difficult to ana- lyze. The results of applying the disambiguator and parser to large sections of the Lancaster/ Oslo-Bergen corpus are presented.

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