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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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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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Abstract:
Machine translation between closely related languages is less challenging and exhibits a smaller number of translation errors than translation between distant languages, but there are still obstacles which should be addressed in order to improve such systems. This work explores the obstacles for machine translation systems between closely related South Slavic languages, namely Croatian, Serbian and Slovenian. Statistical systems for all language pairs and translation directions are trained using parallel texts from different domains, however mainly on spoken language i.e. subtitles. For translation between Serbian and Croatian, a rule-based system is also explored. It is shown that for all language pairs and for both translation systems, the main obstacles are the differences between syntactic properties. ; This work has emerged from research supported by TRAMOOC project (Translation for Massive Open Online Courses) partially funded by the European Commission under H2020-ICT-2014/H2020-ICT2014-1 under grant agreement number 644333 and by the Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 (Insight). The research leading to these results has also received funding from the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement PIAP-GA2012-324414 (Abu-MaTran) and the Swiss National Science Foundation grant IZ74Z0 160501 (ReLDI). ; non-peer-reviewed
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Keyword:
Language; Machine translation; South Slavic languages
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URL: http://hdl.handle.net/10379/14887
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Poor man’s lemmatisation for automatic error classification
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