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. © 2009 ACL and AFNLP.
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CITATION STYLE
Goodman, M. W., & Bond, F. (2009). Using generation for grammar analysis and error detection. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 109–112). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1667583.1667618
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