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Pushing the right buttons: adversarial evaluation of quality estimation
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In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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APE through neural and statistical MT with augmented data: ADAPT/DCU submission to the WMT 2019 APE Shared task
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In: Shterionov, Dimitar orcid:0000-0001-6300-797X , Wagner, Joachim orcid:0000-0002-8290-3849 and do Carmo, Félix orcid:0000-0003-4193-3854 (2019) APE through neural and statistical MT with augmented data: ADAPT/DCU submission to the WMT 2019 APE Shared task. In: Fourth Conference on Machine Translation (WMT19), 01-02 Aug 2019, Florence, Italy. (2019)
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Abstract:
Automatic post-editing (APE) can be reduced to a machine translation (MT) task, where the source is the output of a specific MT system and the target is its post-edited variant. However, this approach does not consider context information that can be found in the original source of the MT system. Thus a better approach is to employ multi-source MT, where two input sequences are considered – the original source and the MT output. Extra context information can be introduced in the form of extra tokens that identify certain global properties of a group of segments, added as a prefix or a suffix to each segment. Successfully applied in domain adaptation of MT as well as on APE, this technique deserves further attention. In this work we investigate multi-source neural APE (or NPE) systems with training data which has been augmented with two types of extra context tokens. We experiment with authentic and synthetic data provided by WMT 2019 and submit our results to the APE shared task. We also experiment with using statistical machine translation (SMT) methods for APE. While our systems score bellow the baseline, we consider this work a step towards understanding the added value of extra context in the case of APE.
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Keyword:
Machine translating
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URL: http://doras.dcu.ie/23917/
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Findings of the 2019 Conference on Machine Translation (WMT19)
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In: Barrault, Loïc orcid:0000-0002-0634-6147 , Bojar, Ondřej orcid:0000-0002-0606-0050 , Costa-Jussà, Marta R. orcid:0000-0002-5703-520X , Federmann, Christian, Fishel, Mark and Graham, Yvette (2019) Findings of the 2019 Conference on Machine Translation (WMT19). In: Fourth Conference on Machine Translation, 1-2 Aug 2019, Florence, Italy. (2019)
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Using domain-specific and collaborative resources for term translation
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Findings of the 2018 Conference on Machine Translation (WMT18)
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In: Bojar, Ondřej orcid:0000-0002-0606-0050 , Federmann, Christian, Fishel, Mark, Graham, Yvette and Haddow, Barry (2018) Findings of the 2018 Conference on Machine Translation (WMT18). In: Third Conference on Machine Translation, 31 Oct- 1 Nov 2018, Brussels, Belgium. (2018)
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Findings of the 2018 conference on machine translation (WMT18)
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In: Bojar, Ondřej orcid:0000-0002-0606-0050 , Federmann, Christian, Fishel, Mark, Graham, Yvette, Haddow, Barry, Huck, Matthias, Koehn, Philipp and Monz, Christof (2018) Findings of the 2018 conference on machine translation (WMT18). In: Third Conference on Machine Translation, Volume 2: Shared Task Papers, 31 Oct - 1 Nov 2018, Brussels, Belgium. (2018)
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Findings of the 2017 conference on machine translation (WMT17)
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In: Bojar, Ondřej orcid:0000-0002-0606-0050 , Chatterjee, Rajen, Federmann, Christian, Graham, Yvette, Haddow, Barry, Huang, Shujian, Huck, Matthias, Koehn, Philipp, Liu, Qun orcid:0000-0002-7000-1792 , Logacheva, Varvara, Monz, Christof, Negri, Matteo, Post, Matt, Rubino, Raphael, Specia, Lucia and Turchi, Marco (2017) Findings of the 2017 conference on machine translation (WMT17). In: Second Conference on Machine Translation (WMT17), 7-11 Sept 2017, Copenhagen, Denmark. ISBN 978-1-945626-96-8 (2017)
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