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On the differences between human translations
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In: Popović, Maja orcid:0000-0001-8234-8745 (2020) On the differences between human translations. In: 22nd Annual Conference of the European Association for Machine Translation (EAMT 2020), 3 -5 Nov 2020, Lisbon, Portugal (Online). (2020)
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Neural machine translation between similar south-Slavic languages
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In: Popović, Maja orcid:0000-0001-8234-8745 and Poncelas, Alberto orcid:0000-0002-5089-1687 (2020) Neural machine translation between similar south-Slavic languages. In: 2020 Fifth Conference on Machine Translation (WMT20), 19-20 Nov 2020, Dominican Republic (Online). (2020)
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Rapid development of competitive translation engines for access to multilingual COVID-19 information
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In: Way, Andy orcid:0000-0001-5736-5930 , Haque, Rejwanul orcid:0000-0003-1680-0099 , Xie, Guodong, Gaspari, Federico orcid:0000-0003-3808-8418 , Popović, Maja orcid:0000-0001-8234-8745 and Poncelas, Alberto orcid:0000-0002-5089-1687 (2020) Rapid development of competitive translation engines for access to multilingual COVID-19 information. Informatics . ISSN 2227-9709 (2020)
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Machine translation of user-generated content
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Lohar, Pintu. - : Dublin City University. School of Computing, 2020. : Dublin City University. ADAPT, 2020
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In: Lohar, Pintu (2020) Machine translation of user-generated content. PhD thesis, Dublin City University. (2020)
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QRev: Machine translation of user reviews: what influences the translation quality?
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In: Popović, Maja orcid:0000-0001-8234-8745 (2020) QRev: Machine translation of user reviews: what influences the translation quality? In: 22nd Annual Conference of the European Association for Machine Translation (EAMT 2020), 3 -5 Nov 2020, Lisbon, Portugal (Online). (2020)
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Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation ...
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Informative Manual Evaluation of Machine Translation Output ...
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Evaluating conjunction disambiguation on English-to-German and French-to-German WMT 2019 translation hypotheses
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In: Popović, Maja orcid:0000-0001-8234-8745 (2019) Evaluating conjunction disambiguation on English-to-German and French-to-German WMT 2019 translation hypotheses. In: 4th Conference on Machine Translation (WMT 2019), 1 - 2 August 2019, Florence, Italy. (2019)
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Automated text simplification as a preprocessing step for machine translation into an under-resourced language
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In: Štajner, Sanja orcid:0000-0002-7780-7035 and Popović, Maja orcid:0000-0001-8234-8745 (2019) Automated text simplification as a preprocessing step for machine translation into an under-resourced language. In: Recent Advances in Natural Language Processing (RANLP 2019), 2-4 Sept 2019, Varna, Bulgaria. (2019)
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Building English-to-Serbian machine translation system for IMDb movie reviews
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In: Way, Andy orcid:0000-0001-5736-5930 , Lohar, Pintu and Popović, Maja orcid:0000-0001-8234-8745 (2019) Building English-to-Serbian machine translation system for IMDb movie reviews. In: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, 2 Aug 2019, Florence,Italy. ISBN 978-1-950737-41-3 (2019)
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On reducing translation shifts in translations intended for MT evaluation
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In: Popović, Maja orcid:0000-0001-8234-8745 (2019) On reducing translation shifts in translations intended for MT evaluation. In: MT Summit XVII, 19 - 23 Aug 2019, Dublin, Ireland. (2019)
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Are ambiguous conjunctions problematic for machine translation?
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In: Popović, Maja orcid:0000-0001-8234-8745 and Castilho, Sheila orcid:0000-0002-8416-6555 (2019) Are ambiguous conjunctions problematic for machine translation? In: Recent Advances in Natural Language Processing (RANLP 2019), 2 - 4 Sept 2019, Varna, Bulgaria. (2019)
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Abstract:
The translation of ambiguous words still poses challenges for machine translation. In this work, we carry out a systematic quantitative analysis regarding the ability of different machine translation systems to disambiguate the source language conjunctions “but” and “and”. We evaluate specialised test sets focused on the translation of these two conjunctions. The test sets contain source languages that do not distinguish different variants of the given conjunction, whereas the target languages do. In total, we evaluate the conjunction “but” on 20 translation outputs, and the conjunction “and” on 10. All machine translation systems almost perfectly recognise one variant of the target conjunction, especially for the source conjunction “but”. The other target variant, however, represents a challenge for machine translation systems, with accuracy varying from 50% to 95% for “but” and from 20% to 57% for “and”. The major error for all systems is replacing the correct target variant with the opposite one.
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Keyword:
Machine translating
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URL: http://doras.dcu.ie/24476/
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Automatic error classification with multiple error labels
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In: Popović, Maja orcid:0000-0001-8234-8745 and Vilar, David (2019) Automatic error classification with multiple error labels. In: MT Summit XVII, 19 - 23 Aug 2019, Dublin, Ireland. (2019)
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Combining SMT and NMT back-translated data for efficient NMT
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In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Popović, Maja orcid:0000-0001-8234-8745 , Shterionov, Dimitar orcid:0000-0001-6300-797X , Maillette de Buy Wenniger, Gideon and Way, Andy orcid:0000-0001-5736-5930 (2019) Combining SMT and NMT back-translated data for efficient NMT. In: Recent Advances in Natural Language Processing (RANLP 2019), 2-4 Sept 2019, Varna, Bulgaria. (2019)
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A systematic comparison between SMT and NMT on translating user-generated content
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In: Lohar, Pintu, Popović, Maja orcid:0000-0001-8234-8745 , Alfi, Haithem orcid:0000-0002-7449-4707 and Way, Andy orcid:0000-0001-5736-5930 (2019) A systematic comparison between SMT and NMT on translating user-generated content. In: 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), 7 - 13 Apr 2019, La Rochelle, France. (2019)
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Potential and limits of using post-edits as reference translations for MT evaluation
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Popovic, Maja; Arcan, Mihael; Lommel, Arle. - : Vilnius University, University of Latvia, Latvia University of Agriculture, Institute of Mathematics and Informatics of University of Latvia, 2019
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Language related issues for machine translation between closely related south Slavic languages
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Poor man’s lemmatisation for automatic error classification
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