[PDF] Top 20 Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
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Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
... the conference, in addition to soliciting relevant papers for review and possible presentation, we conducted 10 shared ...five translation tasks: Machine Translation of News, ... See full document
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Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)
... a conference. The first time WMT was held as a conference was at ACL 2016 in Berlin, Germany, the second time at EMNLP 2017 in Copenhagen, Denmark, and the third time at EMNLP 2028 in Brussels, ...a ... See full document
24
Proceedings of Machine Translation Summit XVII Volume 1: Research Track
... I have two final people to thank. Firstly, I am very grateful to Grainne McQuaid and her team in Abbey Conference and Events for their professional support of the conference. You will have met them at ... See full document
16
Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
... the conference, and these proceedings also include overview papers for the shared tasks, summarizing the results, as well as providing information about the data used and any procedures that were ... See full document
26
Pre Translation for Neural Machine Translation
... 2016 conference on machine translation. In Proceedings of the First Conference on Machine Translation, pages 131–198, Berlin, Germany, ... See full document
9
Multi encoder Transformer Network for Automatic Post Editing
... Yvette Graham, Barry Haddow, Matthias Huck, An- tonio Jimeno Yepes, Philipp Koehn, Varvara Loga- cheva, Christof Monz, Matteo Negri, Aurelie Neveol, Mariana Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina ... See full document
6
Proceedings of the Second Conference on Machine Translation
... a conference. The first time WMT was held as a conference was at ACL 2016 in Berlin, ...a conference, WMT was held 10 times as a ...the first time at HLT-NAACL 2006 in New York City, ... See full document
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A Transformer Based Multi Source Automatic Post Editing System
... 2016 Conference on Machine Translation. In Proceedings of the First Conference on Machine Translation, pages 131– 198, Berlin, ... See full document
9
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
... Javier Iranzo-Sánchez, Gonçal Garcés Díaz-Munío, Jorge Civera and Alfons Juan . . . . . . . . . . . . 218 Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation ... See full document
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Proceedings of the Third Conference on Machine Translation: Research Papers
... Kenton Murray and David Chiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 Extracting In-domain Training Corpora for Neural Machine ... See full document
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Measuring the Effect of Conversational Aspects on Machine Translation Quality
... statistical machine translation (SMT) is largely driven by formal translation tasks, while translating informal text is much more ...We first create and release a corpus of multilingual movie ... See full document
11
Improving Statistical Machine Translation with Selectional Preferences
... Conditional probability-based SPs cannot make any predictions for object headwords that have never occurred in our extracted selectional preference instances (v, obj ). As our corpus cannot cover any phenomena in real ... See full document
10
Interactive Attention for Neural Machine Translation
... Neural Machine Translation (NMT) has made promising progress in recent years (Sutskever et al., 2014; Bahdanau et al., 2015; Luong et al., 2015a; Jean et al., 2015; Luong et al., 2015b; Tang et al., 2016; ... See full document
12
Neural Networks For Negation Scope Detection
... First, we investigate whether the per-instance prediction accuracy correlates with scope-related (length of the scope to the left, to the right and combined; maximum length of the gap in a discon- tinuous scope) ... See full document
10
Discriminative Language Models as a Tool for Machine Translation Error Analysis
... In this paper, we propose a new method for effective error analysis of machine translation (MT) systems. In previous work on error analysis of MT, error trends are often shown by frequency. However, if we ... See full document
9
Fourteen Light Tasks for comparing Analogical and Phrase based Machine Translation
... the translation of the input form u, any pair ([x : y :: z : u ], [x’ : y’ :: z’ : c ]), with x’, y’, and z’ in τ (x’), τ (y’ ), and τ (z’ ) respectively, and c a candidate translation would be considered ... See full document
11
Is all that Glitters in Machine Translation Quality Estimation really Gold?
... Part-automatic human-targeted metrics, however, are commonly employed as a substitute for hu- man assessment on the segment-level, as they appear to provide a happy medium between fully auto- matic metrics, that lack the ... See full document
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Connecting Phrase based Statistical Machine Translation Adaptation
... English translation tasks show that the proposed methods can significantly outperform a number of the existing SMT adaptation methods in both performance and ... See full document
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A Dependency Edge based Transfer Model for Statistical Machine Translation
... Transfer-based MT systems usually take a parse tree in the source language and translate it into a parse tree in the target language with transfer rules. Both our model and some of those previous works ac- quired ... See full document
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Neural Machine Translation with Supervised Attention
... It has always been standard practice to learn reordering models from alignments for conventional SMT either at the phrase level or word level. At the phrase level, Koehn et al. (2007) proposed a lexicalized MSD model for ... See full document
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