Year |
Citation |
Score |
2020 |
Brennan JR, Dyer C, Kuncoro A, Hale JT. Localizing syntactic predictions using recurrent neural network grammars. Neuropsychologia. 107479. PMID 32428530 DOI: 10.1016/J.Neuropsychologia.2020.107479 |
0.373 |
|
2020 |
Yu L, Sartran L, Stokowiec W, Ling W, Kong L, Blunsom P, Dyer C. Better Document-Level Machine Translation with Bayes' Rule Transactions of the Association For Computational Linguistics. 8: 346-360. DOI: 10.1162/Tacl_A_00319 |
0.377 |
|
2017 |
Ballesteros M, Dyer C, Goldberg Y, Smith NA. Greedy transition-based dependency parsing with stack lstms Computational Linguistics. 43: 311-347. DOI: 10.1162/Coli_A_00285 |
0.427 |
|
2017 |
Tang H, Lu L, Kong L, Gimpel K, Livescu K, Dyer C, Smith NA, Renals S. End-to-End Neural Segmental Models for Speech Recognition Ieee Journal of Selected Topics in Signal Processing. 11: 1254-1264. DOI: 10.1109/Jstsp.2017.2752462 |
0.326 |
|
2016 |
Tsvetkov Y, Dyer C. Cross-lingual bridges with models of lexical borrowing Journal of Artificial Intelligence Research. 55: 63-93. DOI: 10.1613/Jair.4786 |
0.47 |
|
2016 |
Ammar W, Mulcaire G, Ballesteros M, Dyer C, Smith NA. Many Languages, One Parser Transactions of the Association For Computational Linguistics. 4: 431-444. DOI: 10.1162/Tacl_A_00109 |
0.478 |
|
2016 |
Ling W, Marujo L, Dyer C, Black AW, Trancoso I. Mining parallel corpora from sina weibo and twitter Computational Linguistics. 42: 307-343. DOI: 10.1162/Coli_A_00249 |
0.46 |
|
2015 |
Dyer C. 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. DOI: 10.1162/Coli_R_00212 |
0.397 |
|
2015 |
Dyer C. Book Reviews: Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax by Emily M. Bender Computational Linguistics. 41: 153-155. DOI: 10.1162/Coli_A_00212 |
0.385 |
|
2014 |
Clark JH, Dyer C, Lavie A. Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization Transactions of the Association For Computational Linguistics. 2: 393-404. DOI: 10.1162/Tacl_A_00191 |
0.315 |
|
2014 |
Schneider N, Danchik E, Dyer C, Smith NA. Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut Transactions of the Association For Computational Linguistics. 2: 193-206. DOI: 10.1162/Tacl_A_00176 |
0.387 |
|
2013 |
Schlinger E, Chahuneau V, Dyer C. morphogen: Translation into Morphologically Rich Languages with Synthetic Phrases The Prague Bulletin of Mathematical Linguistics. 100: 51-62. DOI: 10.2478/Pralin-2013-0011 |
0.489 |
|
2010 |
Arun A, Haddow B, Koehn P, Lopez A, Dyer C, Blunsom P. Monte Carlo techniques for phrase-based translation Machine Translation. 24: 103-121. DOI: 10.1007/S10590-010-9080-7 |
0.429 |
|
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