Paper: Using Generation for Grammar Analysis and Error Detection

ACL ID P09-2028
Title Using Generation for Grammar Analysis and Error Detection
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

We demonstrate that the bidirectionality of deep grammars, allowing them to gen- erate as well as parse sentences, can be used to automatically and effectively iden- tify errors in the grammars. The system is tested on two implemented HPSG gram- mars: Jacy for Japanese, and the ERG for English. Using this system, we were able to increase generation coverage in Jacy by 18% (45% to 63%) with only four weeks of grammar development.