Grant Erdmann


2019

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The AFRL WMT19 Systems: Old Favorites and New Tricks
Jeremy Gwinnup | Grant Erdmann | Tim Anderson
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

This paper describes the Air Force Research Laboratory (AFRL) machine translation systems and the improvements that were developed during the WMT19 evaluation campaign. This year, we refine our approach to training popular neural machine translation toolkits, experiment with a new domain adaptation technique and again measure improvements in performance on the Russian–English language pair.

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Quality and Coverage: The AFRL Submission to the WMT19 Parallel Corpus Filtering for Low-Resource Conditions Task
Grant Erdmann | Jeremy Gwinnup
Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)

The WMT19 Parallel Corpus Filtering For Low-Resource Conditions Task aims to test various methods of filtering a noisy parallel corpora, to make them useful for training machine translation systems. This year the noisy corpora are the relatively low-resource language pairs of Nepali-English and Sinhala-English. This papers describes the Air Force Research Laboratory (AFRL) submissions, including preprocessing methods and scoring metrics. Numerical results indicate a benefit over baseline and the relative benefits of different options.

2018

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The AFRL WMT18 Systems: Ensembling, Continuation and Combination
Jeremy Gwinnup | Tim Anderson | Grant Erdmann | Katherine Young
Proceedings of the Third Conference on Machine Translation: Shared Task Papers

This paper describes the Air Force Research Laboratory (AFRL) machine translation systems and the improvements that were developed during the WMT18 evaluation campaign. This year, we examined the developments and additions to popular neural machine translation toolkits and measure improvements in performance on the Russian–English language pair.

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The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional
Jeremy Gwinnup | Joshua Sandvick | Michael Hutt | Grant Erdmann | John Duselis | James Davis
Proceedings of the Third Conference on Machine Translation: Shared Task Papers

AFRL-Ohio State extends its usage of visual domain-driven machine translation for use as a peer with traditional machine translation systems. As a peer, it is enveloped into a system combination of neural and statistical MT systems to present a composite translation.

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Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering Task
Grant Erdmann | Jeremy Gwinnup
Proceedings of the Third Conference on Machine Translation: Shared Task Papers

The WMT 2018 Parallel Corpus Filtering Task aims to test various methods of filtering a noisy parallel corpus, to make it useful for training machine translation systems. We describe the AFRL submissions, including their preprocessing methods and quality metrics. Numerical results indicate relative benefits of different options and show where our methods are competitive.

2017

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The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEU
Jeremy Gwinnup | Timothy Anderson | Grant Erdmann | Katherine Young | Michaeel Kazi | Elizabeth Salesky | Brian Thompson | Jonathan Taylor
Proceedings of the Second Conference on Machine Translation

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The AFRL WMT17 Neural Machine Translation Training Task Submission
Grant Erdmann | Katherine Young | Jeremy Gwinnup
Proceedings of the Second Conference on Machine Translation

2016

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The AFRL-MITLL WMT16 News-Translation Task Systems
Jeremy Gwinnup | Tim Anderson | Grant Erdmann | Katherine Young | Michaeel Kazi | Elizabeth Salesky | Brian Thompson
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

2015

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The AFRL-MITLL WMT15 System: There’s More than One Way to Decode It!
Jeremy Gwinnup | Tim Anderson | Grant Erdmann | Katherine Young | Christina May | Michaeel Kazi | Elizabeth Salesky | Brian Thompson
Proceedings of the Tenth Workshop on Statistical Machine Translation

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Drem: The AFRL Submission to the WMT15 Tuning Task
Grant Erdmann | Jeremy Gwinnup
Proceedings of the Tenth Workshop on Statistical Machine Translation