Paper: A Probabilistic Context-Free Grammar For Disambiguation In Morphological Parsing

ACL ID E93-1023
Title A Probabilistic Context-Free Grammar For Disambiguation In Morphological Parsing
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1993
Authors

One of the major problems one is faced with when decomposing words into their constituent parts is ambiguity: the gen- eration of multiple analyses for one input word, many of which are implausible. In order to deal with ambiguity, the MOR- phological PArser MORPA is provided with a probabilistic context-free grammar (PCFG), i.e. it combines a "conventional" context-free morphological grammar to fil- ter out ungrammatical segmentations with a probability-based scoring function which determines the likelihood of each success- ful parse. Consequently, remaining analy- ses can be ordered along a scale of plausi- bility. Test performance data will show that a PCFG yields good results in morphologi- cal parsing. MORPA is a fully implemented parser developed for use in a text-to-speech conversio...