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DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues
In: Castilho, Sheila orcid:0000-0002-8416-6555 , Cavalheiro Camargo, João Lucas orcid:0000-0003-3746-1225 , Menezes, Miguel and Way, Andy orcid:0000-0001-5736-5930 (2021) DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues. In: Sixth Conference on Machine Translation (WMT21), 10-11 Nov 2021, Punta Cana, Dominican Republic (Online). ISBN 978-1-954085-94-7 (2021)
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Can Google Translate Rewire Your L2 English Processing?
In: Resende, Natália orcid:0000-0002-5248-2457 and Way, Andy orcid:0000-0001-5736-5930 (2021) Can Google Translate Rewire Your L2 English Processing? Digital, 1 (1). pp. 66-85. ISSN 2673-6470 (2021)
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Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation
In: Gupta, Kamal Kumar, Haque, Rejwanul orcid:0000-0003-1680-0099 , Ekbal, Asif, Bhattacharyya, Pushpak and Way, Andy orcid:0000-0001-5736-5930 (2020) Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation. In: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2-6 Nov 2020, Lisboa, Portugal. (2020)
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MTrill project: machine translation impact on language learning
In: Resende, Natália orcid:0000-0002-5248-2457 and Way, Andy orcid:0000-0001-5736-5930 (2020) MTrill project: machine translation impact on language learning. In: European Association for Machine Translation (EAMT) 2020, 3-5 Nov 2020, Lisbon, Portugal (Online). ISBN 978-989-33-0589-8 (2020)
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MT syntactic priming effects on L2 English speakers
In: Resende, Natália orcid:0000-0002-5248-2457 , Cowan, Benjamin orcid:0000-0002-8595-8132 and Way, Andy orcid:0000-0001-5736-5930 (2020) MT syntactic priming effects on L2 English speakers. In: European Association for Machine Translation (EAMT) 2020, 2-6 Nov 2010, Lisbon, Portugal (Online). ISBN 978-989-33-0589-8 (2020)
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Rapid development of competitive translation engines for access to multilingual COVID-19 information
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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Investigating query expansion and coreference resolution in question answering on BERT
In: Bhattacharjee, Santanu, Haque, Rejwanul orcid:0000-0003-1680-0099 , Maillette de Buy Wenniger, Gideon and Way, Andy orcid:0000-0001-5736-5930 (2020) Investigating query expansion and coreference resolution in question answering on BERT. In: 25th International Conference on Natural Language & Information Systems (NLDB 2020)), 24 - 26 June 2020, Saarbrücken, Germany (Online). ISBN 978-3-030-51309-2 (2020)
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A human evaluation of English-Irish statistical and neural machine translation
In: Dowling, Meghan orcid:0000-0003-1637-4923 , Castilho, Sheila orcid:0000-0002-8416-6555 , Moorkens, Joss orcid:0000-0003-4864-5986 , Lynn, Teresa and Way, Andy orcid:0000-0001-5736-5930 (2020) A human evaluation of English-Irish statistical and neural machine translation. In: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 6 Nov 2020, Lisbon, Portugal. (2020)
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Creating a multimodal translation tool and testing machine translation integration using touch and voice
In: Teixeira, Carlos S. C. orcid:0000-0002-1453-990X , Moorkens, Joss orcid:0000-0003-4864-5986 , Turner, Daniel, Vreeke, Joris orcid:0000-0003-3810-7631 and Way, Andy orcid:0000-0001-5736-5930 (2019) Creating a multimodal translation tool and testing machine translation integration using touch and voice. Informatics, 6 (1). pp. 1-21. ISSN 2227-9709 (2019)
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TermEval: an automatic metric for evaluating terminology translation in MT
In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2019) TermEval: an automatic metric for evaluating terminology translation in MT. In: CICLing 2019, the 20th International Conference on Computational Linguistics and Intelligent Text Processing, 07-13 Apr 2019, La Rochelle, France. (2019)
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TermEval: an automatic metric for evaluating terminology translation in MT
In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2019) TermEval: an automatic metric for evaluating terminology translation in MT. In: CICLing 2019: the 20th International Conference on Computational Linguistics and Intelligent Text Processing, 7-13 Apr 2019, La Rochelle, France. (2019)
Abstract: Terminology translation plays a crucial role in domain-specific machine translation (MT). Preservation of domain-knowledge from source to target is arguably the most concerning factor for the customers in translation industry, especially for critical domains such as medical, transportation, military, legal and aerospace. However, evaluation of terminology translation, despite its huge importance in the translation industry, has been a less examined area in MT research. Term translation quality in MT is usually measured with domain experts, either in academia or industry. To the best of our knowledge, as of yet there is no publicly available solution to automatically evaluate terminology translation in MT. In particular, manual intervention is often needed to evaluate terminology translation in MT, which, by nature, is a time-consuming and highly expensive task. In fact, this is unimaginable in an industrial setting where customised MT systems are often needed to be updated for many reasons (e.g. availability of new training data or leading MT techniques). Hence, there is a genuine need to have a faster and less expensive solution to this problem, which could aid the end-users to instantly identify term translation problems in MT. In this study, we propose an automatic evaluation metric, TermEval, for evaluating terminology translation in MT. To the best of our knowledge, there is no gold-standard dataset available for measuring terminology translation quality in MT. In the absence of gold standard evaluation test set, we semi-automatically create a gold-standard dataset from English--Hindi judicial domain parallel corpus. We trained state-of-the-art phrase-based SMT (PB-SMT) and neural MT (NMT) models on two translation directions: English-to-Hindi and Hindi-to-English, and use TermEval to evaluate their performance on terminology translation over the created gold standard test set. In order to measure the correlation between TermEval scores and human judgments, translations of each source terms (of the gold standard test set) is validated with human evaluator. High correlation between TermEval and human judgements manifests the effectiveness of the proposed terminology translation evaluation metric. We also carry out comprehensive manual evaluation on terminology translation and present our observations.
Keyword: Machine translating; Machine Translation; Neural Machine Translation; Phrase-Based Statistical Machine Translation; Term Translation Evaluation; Terminology Translation
URL: http://doras.dcu.ie/24170/
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12
Adapting NMT to caption translation in Wikimedia Commons for low-resource languages ; Adaptando NMT a la traducción de pies de imagen en Wikimedia Commons para idiomas con pocos recursos
Poncelas, Alberto; Sarasola Gabiola, Kepa; Dowling, Meghan. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2019
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FooTweets: a bilingual parallel corpus of World Cup tweets
In: Sluyter-Gäthje, Henny, Lohar, Pintu, Afli, Haithem orcid:0000-0002-7449-4707 and Way, Andy orcid:0000-0001-5736-5930 (2018) FooTweets: a bilingual parallel corpus of World Cup tweets. In: LREC 2018 - 11th International Conference on Language Resources and Evaluation, 7-12 May 2018, Miyazaki, Japan. ISBN 979-10-95546-00-9 (2018)
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14
Post-editing effort of a novel with statistical and neural machine translation
In: Toral, Antonio, Wieling, Martijn and Way, Andy orcid:0000-0001-5736-5930 (2018) Post-editing effort of a novel with statistical and neural machine translation. Frontiers in Digital Humanities, 5 (9). pp. 1-11. ISSN 2297-2668 (2018)
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What level of quality can neural machine translation attain on literary text?
In: Toral, Antonio orcid:0000-0003-2357-2960 and Way, Andy orcid:0000-0001-5736-5930 (2018) What level of quality can neural machine translation attain on literary text? In: Moorkens, Joss orcid:0000-0003-4864-5986 , Castilho, Sheila orcid:0000-0002-8416-6555 , Gaspari, Federico orcid:0000-0003-3808-8418 and Doherty, S, (eds.) Translation Quality Assessment: From Principles to Practice. Machine Translation: Technologies and Applications book series (MATRA), 1 . Springer, Berlin/Heidelberg, 263 -287. ISBN 978-3-319-91240-0 (2018)
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Tailoring neural architectures for translating from morphologically rich languages
In: Passban, Peyman, Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2018) Tailoring neural architectures for translating from morphologically rich languages. In: 27th International Conference on Computational Linguistics, 20-26 Aug 2018, Santa Fe, New Mexico, USA. (2018)
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Automatic Construction of Parallel Dialogue Corpora with Rich Information
Way, Andy; Zhang, Xiaojun; Liu, Qun. - : Springer, 2018. : Cham, Switzerland, 2018
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Integrating machine translation into MOOCS
In: Castilho, Sheila orcid:0000-0002-8416-6555 , Gaspari, Federico orcid:0000-0003-3808-8418 , Moorkens, Joss orcid:0000-0003-4864-5986 and Way, Andy orcid:0000-0001-5736-5930 (2017) Integrating machine translation into MOOCS. In: EDULEARN17, 3-5 July 2017, Barcelona, Spain. ISBN 978-84-697-3777-4 (2017)
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Sentiment translation for low resourced languages: experiments on Irish general election Tweets
In: Afli, Haithem orcid:0000-0002-7449-4707 , Maguire, Sorcha and Way, Andy orcid:0000-0001-5736-5930 (2017) Sentiment translation for low resourced languages: experiments on Irish general election Tweets. In: 18th International Conference on Computational Linguistics and Intelligent Text Processing, 17-21 Apr 2017, Budapest, Hungry. (2017)
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20
Translating low-resource languages by vocabulary adaptation from close counterparts
In: Passban, Peyman, Liu, Qun orcid:0000-0002-7000-1792 and Way, Andy orcid:0000-0001-5736-5930 (2017) Translating low-resource languages by vocabulary adaptation from close counterparts. ACM Transactions on Asian and Low-Resource Language Information Processing, 16 (4). ISSN 2375-4699 (2017)
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