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1
Generating Gender Augmented Data for NLP ...
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2
Machine translation of user-generated content
Lohar, Pintu. - : Dublin City University. School of Computing, 2020. : Dublin City University. ADAPT, 2020
In: Lohar, Pintu (2020) Machine translation of user-generated content. PhD thesis, Dublin City University. (2020)
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3
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation ...
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4
Informative Manual Evaluation of Machine Translation Output ...
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5
Potential and limits of using post-edits as reference translations for MT evaluation
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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6
Language related issues for machine translation between closely related south Slavic languages
Arcan, Mihael; Klubicka, Filip; Popovic, Maja. - : The COLING 2016 Organizing Committee, 2019
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
Keyword: Language; Machine translation; South Slavic languages
URL: http://hdl.handle.net/10379/14887
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7
Poor man’s lemmatisation for automatic error classification
Popovic, Maja; Burchardt, Aljoscha; Avramidis, Eleftherios. - : European Association for Machine Translation, 2019
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8
PE2 rr corpus: manual error annotation of automatically pre-annotated MT post-edits
Popovic, Maja; Arcan, Mihael. - : European Language Resources Association, 2019
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9
Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages
Arcan, Mihael; Popovic, Maja. - : European Association for Machine Translation, 2019
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10
Asistent -- a machine translation system for Slovene, Serbian and Croatian
Arcan, Mihael; Popovic, Maja; Buitelaar, Paul. - : University of Ljubljana, 2019
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11
Terra: a collection of translation error-annotated corpora
In: Fishel, Mark; Bojar, Ondřej; Popovic, Maja (2012). Terra: a collection of translation error-annotated corpora. In: The 8th international conference on Language Resources and Evaluation (LREC), Istanbul, Turkey, 21 May 2012 - 27 May 2012, 7-14. (2012)
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12
Study and correlation analysis of linguistic, perceptual, and automatic machine translation evaluations
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