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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 Hits 1 – 20 of 33 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 BASE Show details 8 Abstract Meaning Representation (AMR) Annotation Release 1.0 ... Palmer, Martha; Marcu, Daniel; Griffitt, Kira. - : Linguistic Data Consortium, 2014 BASE Show details 9 Induction of Word and Phrase Alignments for Automatic Document Summarization ... Daumé, Hal; Marcu, Daniel. - : arXiv, 2009 BASE Show details 10 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 11 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 12 ISI Chinese-English Automatically Extracted Parallel Text ... Dragos Stefan Munteanu; Marcu, Daniel. - : Linguistic Data Consortium, 2007 BASE Show details 13 ISI Arabic-English Automatically Extracted Parallel Text ... Dragos Stefan Munteanu; Marcu, Daniel. - : Linguistic Data Consortium, 2007 BASE Show details 14 Scalable Inference and Training of Context-Rich Syntactic Translation Models Graehl, Jonathan; Galley, Michel; DeNeefe, Steve. - : Proceedings of COLING/ACL, 2006 BASE Show details 15 Scalable Inference and Training of Context-Rich Syntactic Translation Models ... Galley, Michel; Graehl, Jonathan; Knight, Kevin. - : Columbia University, 2006 BASE Show details 16 What's in a Translation Rule Galley, Michel; Hopkins, Mark; Knight, Kevin... In: DTIC (2004) BASE Show details 17 Generic Sentence Fusion is an Ill-Defined Summarization Task Daume III, Hal; Marcu, Daniel In: DTIC (2004) BASE Show details 18 Syntax-based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences Pang, Bo; Knight, Kevin; Marcu, Daniel In: DTIC (2003) BASE Show details 19 Statistical Phrase-Based Translation Koehn, Philipp; Och, Franz J.; Marcu, Daniel In: DTIC (2003) Abstract: We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. Within our framework, we carry out a large number of experiments to understand better and explain why phase-based models out-performed word-based models. Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translations. Surprisingly, learning phrases longer than three words and learning phrases from high-accuracy word-level alignment models does not have a strong impact on performance. Learning only syntactically motivated phrases degrades the performance of our systems. Keyword: *ALGORITHMS; *DECODING; *PHRASE STRUCTURE GRAMMARS; *TRANSLATIONS; HEURISTIC METHODS; LEARNING; LEXICOGRAPHY; Linguistics; Numerical Mathematics; WORDS(LANGUAGE) URL: http://www.dtic.mil/docs/citations/ADA461156 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA461156 BASE Hide details 20 A Noisy-Channel Approach to Question Answering Echihabi, Abdessamad; Marcu, Daniel In: DTIC (2003) BASE Show details Page: 1 2

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