Christopher J. Dyer, Ph.D.
Affiliations: | 2010 | Linguistics | University of Maryland, College Park, College Park, MD |
Area:
Computational linguistics, Lexical semanticsGoogle:
"Christopher Dyer"Parents
Sign in to add mentor| Philip Resnik | grad student | 2010 | University of Maryland | |
| (A Formal Model of Ambiguity and its Applications in Machine Translation.) | ||||
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Publications
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| Brennan JR, Dyer C, Kuncoro A, et al. (2020) Localizing syntactic predictions using recurrent neural network grammars. Neuropsychologia. 107479 |
| Yu L, Sartran L, Stokowiec W, et al. (2020) Better Document-Level Machine Translation with Bayes' Rule Transactions of the Association For Computational Linguistics. 8: 346-360 |
| Ballesteros M, Dyer C, Goldberg Y, et al. (2017) Greedy transition-based dependency parsing with stack lstms Computational Linguistics. 43: 311-347 |
| Tang H, Lu L, Kong L, et al. (2017) End-to-End Neural Segmental Models for Speech Recognition Ieee Journal of Selected Topics in Signal Processing. 11: 1254-1264 |
| Tsvetkov Y, Dyer C. (2016) Cross-lingual bridges with models of lexical borrowing Journal of Artificial Intelligence Research. 55: 63-93 |
| Ammar W, Mulcaire G, Ballesteros M, et al. (2016) Many Languages, One Parser Transactions of the Association For Computational Linguistics. 4: 431-444 |
| Ling W, Marujo L, Dyer C, et al. (2016) Mining parallel corpora from sina weibo and twitter Computational Linguistics. 42: 307-343 |
| Dyer C. (2015) Book review: linguistic fundamentals for natural language processing: 100 essentials from morphology and syntaxemily m. benderuniversity of washington morgan & claypool synthesis lectures on human language technologies, edited by graeme hirst, volume 20, 2013, xvii+166 pp; paperbound, isbn 978-1-62705-011-1, $40.00; e-book, isbn 978-1-62705-012-8, $30.00 or by subscription Computational Linguistics. 41: 153-155 |
| Dyer C. (2015) Book Reviews: Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax by Emily M. Bender Computational Linguistics. 41: 153-155 |
| Clark JH, Dyer C, Lavie A. (2014) Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization Transactions of the Association For Computational Linguistics. 2: 393-404 |