Paper: A Probabilistic Parser

ACL ID E85-1024
Title A Probabilistic Parser
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1985

The UCREL team at the University of Lancaster is engaged in the development of a robust parsing mechanism, which will assign the appro- priate grammatical structure to sentences in unconstrained English text. The techniques used involve the calculation of probabilities for competing structures, and are based on the techniques successfully used in tagging (i.e. assigning grammatical word classes) to the LOB (Lancaster-Oslo/Bergen) corpus. The first step in the parsing process involves dictionary lookup of successive pairs of gramm- atically tagged words, to give a number of possible continuations to the current parse. Since this lookup will often not be able unambiguously to distinguish the point at which a grammatical constituent should be closed, the second step of the parsing process wil...