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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 23 1 H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, Jhin-Wei; Fu, Tsu-Jui. - : Underline Science Inc., 2021 BASE Show details 2 Socioeconomic change and language endangerment Ma, Wei. - : University of Kansas, 2021 BASE Show details 3 Semantic relation identification for consecutive predicative constituents in Chinese [<Journal>] Huang, Shu-Ling [Verfasser]; Chen, Keh-Jiann [Sonstige]; Ma, Wei-Yun [Sonstige]. DNB Subject Category Language Show details 4 Lexical tones and word learning in mandarin-speaking children at three years of age Ma, Wei-Yi; Zhou, Peng; Crain, Stephen. - : University of Electronic Science and Technology, 2017 BASE Show details 5 Dual Learning for Machine Translation ... Xia, Yingce; He, Di; Qin, Tao. - : arXiv, 2016 BASE Show details 6 Hybrid System Combination for Machine Translation: An Integration of Phrase-level and Sentences-level Combination Approaches Ma, Wei-Yun. - 2014 BASE Show details 7 Causal inference of asynchronous audiovisual speech Magnotti, John F.; Ma, Wei Ji; Beauchamp, Michael S.. - : Frontiers Media S.A., 2013 BASE Show details 8 Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars Ma, Wei-Yun; McKeown, Kathleen. - 2012 BASE Show details 9 Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars Ma, Wei-Yun; McKeown, Kathleen. - 2012 BASE Show details 10 Phrase-level System Combination for Machine Translation Based on Target-to-Target Decoding Ma, Wei-Yun; McKeown, Kathleen. - 2012 BASE Show details 11 Phrase-level System Combination for Machine Translation Based on Target-to-Target Decoding ... Ma, Wei-Yun; McKeown, Kathleen. - : Columbia University, 2012 BASE Show details 12 Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars ... Ma, Wei-Yun; McKeown, Kathleen. - : Columbia University, 2012 BASE Show details 13 Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars ... Ma, Wei-Yun; McKeown, Kathleen. - : Columbia University, 2012 BASE Show details 14 Dissociation of tone and segment processing of Mandarin Chinese contrasts Hu, Jiehui; Ma, Wei; Gong, Diankun. - : Hong Kong : LSHK, 2011 BASE Show details 15 Where's the Verb? Correcting Machine Translation During Question Answering Ma, Wei-Yun; McKeown, Kathleen. - 2009 BASE Show details 16 Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task Parton, Kristen; McKeown, Kathleen; Coyne, Robert Eric. - : ACL-IJCNLP 2009, 2009 BASE Show details 17 Where's the Verb? Correcting Machine Translation During Question Answering Ma, Wei-Yun; McKeown, Kathleen; Parton, Kristen. - 2009 BASE Show details 18 Where's the Verb? Correcting Machine Translation During Question Answering ... Ma, Wei-Yun; McKeown, Kathleen. - : Columbia University, 2009 BASE Show details 19 Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task ... Parton, Kristen; McKeown, Kathleen; Coyne, Robert Eric. - : Columbia University, 2009 BASE Show details 20 Lip-Reading Aids Word Recognition Most in Moderate Noise: A Bayesian Explanation Using High-Dimensional Feature Space Ma, Wei Ji; Zhou, Xiang; Ross, Lars A.. - : Public Library of Science, 2009 BASE Show details Page: 1 2

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