Paper: Dependency-Based N-Gram Models for General Purpose Sentence Realisation

ACL ID C08-1038
Title Dependency-Based N-Gram Models for General Purpose Sentence Realisation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

We present dependency-based n-gram models for general-purpose, wide- coverage, probabilistic sentence realisa- tion. Our method linearises unordered dependencies in input representations directly rather than via the application of grammar rules, as in traditional chart- based generators. The method is simple, efficient, and achieves competitive accu- racy and complete coverage on standard English (Penn-II, 0.7440 BLEU, 0.05 sec/sent) and Chinese (CTB6, 0.7123 BLEU, 0.14 sec/sent) test data.