Using generation for grammar analysis and error detection

Authors:
Michael Wayne Goodman;Francis Bond
Affiliations:
University of Washington, Seattle, WA;NICT Language Infrastructure Group, Seika-cho, Sōraku-gun, Kyoto, Japan
Venue:
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Year:
2009

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Abstract

We demonstrate that the bidirectionality of deep grammars, allowing them to generate as well as parse sentences, can be used to automatically and effectively identify errors in the grammars. The system is tested on two implemented HPSG grammars: 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.