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Accurate and robust LFG-based generation for Chinese

Guo, Yuqing and Wang, Haifeng and van Genabith, Josef (2008) Accurate and robust LFG-based generation for Chinese. In: INLG 08 - 5th International Natural Language Generation Conference , 12-14 June 2008, Salt Fork, Ohio, USA.

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We describe three PCFG-based models for Chinese sentence realisation from Lexical-Functional Grammar (LFG) f-structures. Both the lexicalised model and the history-based model improve on the accuracy of a simple wide-coverage PCFG model by adding lexical and contextual information to weaken inappropriate independence assumptions implicit in the PCFG models. In addition, we provide techniques for lexical smoothing and rule smoothing to increase the generation coverage. Trained on 15,663 automatically LFG fstructure annotated sentences of the Penn Chinese treebank and tested on 500 sentences randomly selected from the treebank test set, the lexicalised model achieves a BLEU score of 0.7265 at 100% coverage, while the historybased model achieves a BLEU score of 0.7245 also at 100% coverage.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:lexical functional grammar f-structures; Chinese;
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:
Copyright Information:© 2008 Association for Computational Linguistics
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:15195
Deposited On:16 Feb 2010 15:03 by DORAS Administrator. Last Modified 27 Apr 2010 12:33

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