Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/93757
Title: | Using generation for grammar analysis and error detection | Authors: | Goodman, Michael Wayne Bond, Francis |
Keywords: | DRNTU::Humanities::Linguistics | Issue Date: | 2009 | Source: | Goodman, M. W., & Bond, F. (2009). Using generation for grammar analysis and error detection. Proceedings of the ACL-IJCNLP 2009 Conference Short Papers (2009:Singapore): pp. 109–112. | Conference: | Annual Meeting of the Association for Computational Linguistics (47th : 2009 : Singapore) | 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. | URI: | https://hdl.handle.net/10356/93757 http://hdl.handle.net/10220/6158 |
Schools: | School of Humanities and Social Sciences | Rights: | Proceedings of the ACL-IJCNLP 2009 Conference Short Papers (2009:Singapore) © copyright 2009 ACL and AFNLP. The conference paper is available at www.acl-ijcnlp-2009.org/ | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | HSS Conference Papers |
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148255_1.pdf | Accepted version | 80.47 kB | Adobe PDF | View/Open |
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