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Treebank-based acquisition of Chinese LFG resources for parsing and generation
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Guo, Yuqing. - : Dublin City University. School of Computing, 2009
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In: Guo, Yuqing (2009) Treebank-based acquisition of Chinese LFG resources for parsing and generation. PhD thesis, Dublin City University. (2009)
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Accurate and robust LFG-based generation for Chinese
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In: Guo, Yuqing, 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. (2008)
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Dependency-based n-gram models for general purpose sentence realisation
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In: Guo, Yuqing, 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. (2008)
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Recovering non-local dependencies for Chinese
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In: Guo, Yuqing, Wang, Haifeng and van Genabith, Josef (2007) Recovering non-local dependencies for Chinese. In: EMNLP-CoNLL 2007 - Joint Meeting of the Conference on Empirical Methods in Natural Language Processing and the Conference on Computational Natural Language Learning, 28-30 June 2007, Prague, Czech Republic. (2007)
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Treebank-based acquisition of LFG resources for Chinese
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In: Guo, Yuqing, van Genabith, Josef and Wang, Haifeng (2007) Treebank-based acquisition of LFG resources for Chinese. In: Lexical Functional Grammar 2007, 28-30 July 2007, California, USA. (2007)
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Abstract:
This paper presents a method to automatically acquire wide-coverage, robust, probabilistic Lexical-Functional Grammar resources for Chinese from the Penn Chinese Treebank (CTB). Our starting point is the earlier, proofof- concept work of (Burke et al., 2004) on automatic f-structure annotation, LFG grammar acquisition and parsing for Chinese using the CTB version 2 (CTB2). We substantially extend and improve on this earlier research as regards coverage, robustness, quality and fine-grainedness of the resulting LFG resources. We achieve this through (i) improved LFG analyses for a number of core Chinese phenomena; (ii) a new automatic f-structure annotation architecture which involves an intermediate dependency representation; (iii) scaling the approach from 4.1K trees in CTB2 to 18.8K trees in CTB version 5.1 (CTB5.1) and (iv) developing a novel treebank-based approach to recovering non-local dependencies (NLDs) for Chinese parser output. Against a new 200-sentence good standard of manually constructed f-structures, the method achieves 96.00% f-score for f-structures automatically generated for the original CTB trees and 80.01%for NLD-recovered f-structures generated for the trees output by Bikel’s parser.
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Keyword:
Chinese; lexical functional grammar; Machine translating
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URL: http://doras.dcu.ie/15202/
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An investigation of question translation for English-Chinese cross-language question answering
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In: Zhang, Ying, Jones, Gareth J.F. orcid:0000-0003-2923-8365 , Zhang, Sen, Wang, Bin, Guo, Yuqing and Ma, Yanjun (2007) An investigation of question translation for English-Chinese cross-language question answering. In: CIICT 2007 - Proceedings of the China-Ireland International Conference on Information and Communications Technologies, 28-29 August 2007, Dublin, Ireland. (2007)
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An analysis of question processing of English and Chinese for the NTCIR 5 cross-language question answering task
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In: Judge, John, Guo, Yuqing, Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Wang, Bin (2005) An analysis of question processing of English and Chinese for the NTCIR 5 cross-language question answering task. In: NTCIR Workshop 5 Meeting The 5th NTCIR Workshop Meeting 2005, 6-9 December 2005, Tokyo, Japan. (2005)
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Chinese-to-English Backward Machine Transliteration
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In: http://www.computing.dcu.ie/~yguo/doc/paper/IJCNLP04.pdf
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