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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 Page: 1 2 3 Hits 1 – 20 of 48 1 Abstract Meaning Representation (AMR) Annotation Release 3.0 Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020 BASE Show details 2 Abstract Meaning Representation (AMR) Annotation Release 3.0 ... Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2020 BASE Show details 3 Abstract Meaning Representation (AMR) Annotation Release 2.0 Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2017. : https://www.ldc.upenn.edu, 2017 BASE Show details 4 Abstract Meaning Representation (AMR) Annotation Release 2.0 ... Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2017 BASE Show details 5 Abstract Meaning Representation (AMR) Annotation Release 1.0 Knight, Kevin; Baranescu, Laura; Bonial, Claire. - : Linguistic Data Consortium, 2014. : https://www.ldc.upenn.edu, 2014 BASE Show details 6 HyTER Networks of Selected OpenMT08/09 Sentences Dreyer, Markus; Marcu, Daniel. - : Linguistic Data Consortium, 2014. : https://www.ldc.upenn.edu, 2014 BASE Show details 7 HyTER Networks of Selected OpenMT08/09 Sentences ... Dreyer, Markus; Marcu, Daniel. - : Linguistic Data Consortium, 2014 Abstract: Introduction HyTER Networks of Selected OpenMT08/09 Progress Set Sentences was developed by SDL and contains HyTER (Hybrid Translation Edit Rate) networks for 102 selected source Arabic and Chinese sentences from OpenMT08 and OpenMT09 Progress Set data. HyTER is an evaluation metric based on large reference networks created by an annotation tool that allows users to develop an exponential number of correct translations for a given sentence. Reference networks can be used as a foundation for developing improved machine translation evaluation metrics and for automating the evaluation of human translation efficiency. Data The source material is comprised of Arabic and Chinese newswire and web data collected by LDC in 2007. Annotators created meaning-equivalent annotations under three annotation protocols. In the first protocol, ... URL: https://dx.doi.org/10.35111/ed7d-z579 https://catalog.ldc.upenn.edu/LDC2014T09 BASE Hide details 8 Abstract Meaning Representation (AMR) Annotation Release 1.0 ... Palmer, Martha; Marcu, Daniel; Griffitt, Kira. - : Linguistic Data Consortium, 2014 BASE Show details 9 Hierarchical search for word alignment Riesa, Jason; Marcu, Daniel In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 157-166 BLLDB Show details 10 Induction of Word and Phrase Alignments for Automatic Document Summarization ... Daumé, Hal; Marcu, Daniel. - : arXiv, 2009 BASE Show details 11 Measuring word alignment quality for statistical machine translation Marcu, Daniel; Fraser, Alexander In: Computational linguistics. - Cambridge, Mass. : MIT Press 33 (2007) 3, 293-303 BLLDB OLC Linguistik Show details 12 ISI Chinese-English Automatically Extracted Parallel Text Dragos Stefan Munteanu; Marcu, Daniel. - : Linguistic Data Consortium, 2007. : https://www.ldc.upenn.edu, 2007 BASE Show details 13 ISI Arabic-English Automatically Extracted Parallel Text Dragos Stefan Munteanu; Marcu, Daniel. - : Linguistic Data Consortium, 2007. : https://www.ldc.upenn.edu, 2007 BASE Show details 14 ISI Chinese-English Automatically Extracted Parallel Text ... Dragos Stefan Munteanu; Marcu, Daniel. - : Linguistic Data Consortium, 2007 BASE Show details 15 ISI Arabic-English Automatically Extracted Parallel Text ... Dragos Stefan Munteanu; Marcu, Daniel. - : Linguistic Data Consortium, 2007 BASE Show details 16 Scalable Inference and Training of Context-Rich Syntactic Translation Models Graehl, Jonathan; Galley, Michel; DeNeefe, Steve. - : Proceedings of COLING/ACL, 2006 BASE Show details 17 Scalable Inference and Training of Context-Rich Syntactic Translation Models ... Galley, Michel; Graehl, Jonathan; Knight, Kevin. - : Columbia University, 2006 BASE Show details 18 Improving machine translation performance by exploiting non-parallel corpora Munteanu, Dragos Stefan; Marcu, Daniel In: Computational linguistics. - Cambridge, Mass. : MIT Press 31 (2005) 4, 477-504 BLLDB OLC Linguistik Show details 19 Induction of word and phrase alignments for automatic document summarization Daumé, Hal; Marcu, Daniel In: Computational linguistics. - Cambridge, Mass. : MIT Press 31 (2005) 4, 505-530 BLLDB OLC Linguistik Show details 20 What's in a Translation Rule Galley, Michel; Hopkins, Mark; Knight, Kevin... In: DTIC (2004) BASE Show details Page: 1 2 3

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