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Dependency-based n-gram models for general purpose sentence realisation

Guo, Yuqing and van Genabith, Josef and Wang, Haifeng (2008) Dependency-based n-gram models for general purpose sentence realisation. In: COLING 2008 - 22nd International Conference on Computational Linguistics, 18-22 August 2008, Manchester, UK.

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We present dependency-based n-gram models for general-purpose, widecoverage, probabilistic sentence realisation. Our method linearises unordered dependencies in input representations directly rather than via the application of grammar rules, as in traditional chartbased generators. The method is simple, efficient, and achieves competitive accuracy 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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > National Centre for Language Technology (NCLT)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Association for Computational Linguistics
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 04/IN/I527
ID Code:15196
Deposited On:16 Feb 2010 15:57 by DORAS Administrator. Last Modified 27 Apr 2010 12:30

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