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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Use of Modality and Negation in Semantically-Informed Syntactic MT ... Baker, Kathryn; Bloodgood, Michael; Dorr, Bonnie J.. - : arXiv, 2015 BASE Show details 2 A Modality Lexicon and its use in Automatic Tagging ... Baker, Kathryn; Bloodgood, Michael; Dorr, Bonnie J.. - : arXiv, 2014 BASE Show details 3 Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ... Baker, Kathryn; Bloodgood, Michael; Callison-Burch, Chris; Dorr, Bonnie J.; Filardo, Nathaniel W.; Levin, Lori; Miller, Scott; Piatko, Christine. - : arXiv, 2014 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 BASE Hide details 4 Use of Modality and Negation in Semantically-Informed Syntactic MT Baker, Kathryn; Bloodgood, Michael; Dorr, Bonnie J... In: DTIC (2012) BASE Show details 5 Use of Modality and Negation in Semantically-Informed Syntactic MT Bloodgood, Michael; Filardo, Nathaniel; Levin, Lori. - : MIT Press, 2012 BASE Show details 6 Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ... Baker, Kathryn; Bloodgood, Michael; Callison-Burch, Chris. - : Digital Repository at the University of Maryland, 2010 BASE Show details 7 Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach Baker, Kathryn; Piatko, Christine; Miller, Scott. - 2010 BASE Show details 8 A Modality Lexicon and its use in Automatic Tagging Dorr, Bonnie; Bloodgood, Michael; Filardo, Nathaniel. - : European Language Resources Association, 2010 BASE Show details 9 "Modal flip" and partial verb phrase fronting in German Baker, Kathryn L. In: Studies in contemporary phrase structure grammar (Cambridge, 1999), p. 161-198 MPI für Psycholinguistik Show details 10 An integrated account of "modal Flip" and partial verb phrase in fronting in German Baker, Kathryn L. In: Papers from the ... Annual Regional Meeting of the Chicago Linguistic Society (Chicago,IL), p. 42-56 MPI für Psycholinguistik Show details

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