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Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
Abstract: We describe a unified and coherent syntactic framework for supporting a semantically-informed syntactic approach to statistical machine translation. Semantically enriched syntactic tags assigned to the target-language training texts improved translation quality. The resulting system significantly outperformed a linguistically naive baseline model (Hiero), and reached the highest scores yet reported on the NIST 2009 Urdu-English translation task. This finding supports the hypothesis (posed by many researchers in the MT community, e.g., in DARPA GALE) that both syntactic and semantic information are critical for improving translation quality---and further demonstrates that large gains can be achieved for low-resource languages with different word order than English. ... : 10 pages, 7 figures, 3 tables; appeared in Proceedings of the Ninth Conference of the Association for Machine Translation in the Americas (AMTA), October 2010 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; I.2.7; I.2.6; I.5.1; I.5.4; Machine Learning cs.LG; Machine Learning stat.ML
URL: https://arxiv.org/abs/1409.7085
https://dx.doi.org/10.48550/arxiv.1409.7085
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Use of Modality and Negation in Semantically-Informed Syntactic MT
In: DTIC (2012)
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Use of Modality and Negation in Semantically-Informed Syntactic MT
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
Baker, Kathryn; Bloodgood, Michael; Callison-Burch, Chris. - : Digital Repository at the University of Maryland, 2010
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach
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