Paper: A Statistical Parser For Czech

ACL ID P99-1065
Title A Statistical Parser For Czech
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

This paper considers statistical parsing of Czech, which differs radically from English in at least two respects: (1) it is a highly inflected language, and (2) it has relatively free word order. These dif- ferences are likely to pose new problems for tech- niques that have been developed on English. We describe our experience in building on the parsing model of (Collins 97). Our final results - 80% de- pendency accuracy - represent good progress to- wards the 91% accuracy of the parser on English (Wall Street Journal) text.