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How much context span is enough? Examining context-related issues for document-level MT
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In: Castilho, Sheila orcid:0000-0002-8416-6555 (2022) How much context span is enough? Examining context-related issues for document-level MT. In: 13th Language Resources and Evaluation Conference, 21-23 June 2022, Marseille, France. (In Press) (2022)
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DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues
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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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Towards document-level human MT evaluation: On the Issues of annotator agreement, effort and misevaluation
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In: Castilho, Sheila orcid:0000-0002-8416-6555 (2021) Towards document-level human MT evaluation: On the Issues of annotator agreement, effort and misevaluation. In: 16th Conference of the European Chapter of the Association for Computational Linguistics - EACL 2021., 19-23 April 2021, Online. (In Press) (2021)
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DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues ...
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A human evaluation of English-Irish statistical and neural machine translation
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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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A set of recommendations for assessing human-machine parity in language translation
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In: Läubli, Samuel orcid:0000-0001-5362-4106 , Castilho, Sheila orcid:0000-0002-8416-6555 , Neubig, Graham, Sennrich, Rico orcid:0000-0002-1438-4741 , Shen, Qinlan and Toral, Antonio orcid:0000-0003-2357-2960 (2020) A set of recommendations for assessing human-machine parity in language translation. Journal of Artificial Intelligence Research, 67 . pp. 653-672. ISSN 1076-9757 (2020)
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On the same page? Comparing inter-annotator agreement in sentence and document level human machine translation evaluation
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In: Castilho, Sheila orcid:0000-0002-8416-6555 (2020) On the same page? Comparing inter-annotator agreement in sentence and document level human machine translation evaluation. In: Fifth Conference on Machine Translation, 19-20 Nov 2020, Dominican Republic (Online). (2020)
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A Set of Recommendations for Assessing Human-Machine Parity in Language Translation ...
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Chan Sin-Wai (ed): The human factor in machine translation : Routledge Studies in Translation Technology, Routledge, 1st edition (2018), xii+256pp, ISBN 781-13-855-1213 (Hardback), 978-13-151-4753-6 (e-book) [<Journal>]
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DNB Subject Category Language
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| 11 |
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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What level of quality can neural machine translation attain on literary text?
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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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Improving machine translation of educational content via crowdsourcing
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Behnke, Maximiliana; Miceli Barone, Antonio Valerio; Sennrich, Rico; Sosoni, Vilelmini; Naskos, Thanasis; Takoulidou, Eirini; Stasimioti, Maria; Menno, van Zaanen; Castilho, Sheila; Gaspari, Federico; Georgakopoulou, Panayota; Kordoni, Valia; Egg, Markus; Kermanidis, Katia Lida
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In: Behnke, Maximiliana, Miceli Barone, Antonio Valerio, Sennrich, Rico, Sosoni, Vilelmini, Naskos, Thanasis, Takoulidou, Eirini, Stasimioti, Maria, Menno, van Zaanen, Castilho, Sheila orcid:0000-0002-8416-6555 , Gaspari, Federico orcid:0000-0003-3808-8418 , Georgakopoulou, Panayota orcid:0000-0001-9780-1813 , Kordoni, Valia, Egg, Markus and Kermanidis, Katia Lida orcid:0000-0002-3270-5078 (2018) Improving machine translation of educational content via crowdsourcing. In: LREC 2018 - 11th International Conference on Language Resources and Evaluation, Miyazaki, Japan. ISBN 979-10-95546-19-1 (2018)
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Abstract:
The limited availability of in-domain training data is a major issue in the training of application-specific neural machine translation models. Professional outsourcing of bilingual data collections is costly and often not feasible. In this paper we analyze the influence of using crowdsourcing as a scalable way to obtain translations of target in-domain data having in mind that the translations can be of a lower quality. We apply crowdsourcing with carefully designed quality controls to create parallel corpora for the educational domain by collecting translations of texts from MOOCs from English to eleven languages, which we then use to fine-tune neural machine translation models previously trained on general-domain data. The results from our research indicate that crowdsourced data collected with proper quality controls consistently yields performance gains over general-domain baseline systems, and systems fine-tuned with pre-existing in-domain corpora.
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Keyword:
crowdsourcing; Machine translating; MOOCs; neural machine translation
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URL: http://doras.dcu.ie/23201/
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Reading comprehension of machine translation output: what makes for a better read?
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In: Castilho, Sheila orcid:0000-0002-8416-6555 and Guerberof Arenas, Ana orcid:0000-0001-9820-7074 (2018) Reading comprehension of machine translation output: what makes for a better read? In: 21st Annual Conference of the European for Machine Translation, 28-30 May 2018, Alacant/Alicante, Spain. ISBN 978-84-09-01901-4 (2018)
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Attaining the unattainable? Reassessing claims of human parity in neural machine translation
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In: Toral, Antonio orcid:0000-0003-2357-2960 , Castilho, Sheila orcid:0000-0002-8416-6555 , Hu, Ke and Way, Andy orcid:0000-0001-5736-5930 (2018) Attaining the unattainable? Reassessing claims of human parity in neural machine translation. In: Third Conference on Machine Translation (WMT), 31 Oct- 1 Nov 2018, Brussels, Belgium. ISBN 978-1-948087-81-0 (2018)
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Translation crowdsourcing: creating a multilingual corpus of online educational content
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In: Sosoni, Vilelmini orcid:0000-0002-9583-4651 , Kermanidis, Katia Lida orcid:0000-0002-3270-5078 , Stasimioti, Maria orcid:0000-0002-3270-5078 , Naskos, Thanasis, Takoulidou, Eirini, van Zaanen, Menno, Castilho, Sheila orcid:0000-0002-8416-6555 , Georgakopoulou, Panayota orcid:0000-0001-9780-1813 , Kordoni, Valia and Egg, Markus (2018) Translation crowdsourcing: creating a multilingual corpus of online educational content. In: 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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Translation Quality, Quality Management and Agency: Principles and Practice in the European Union Institutions
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Integrating machine translation into MOOCS
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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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Translation dictation vs. post-editing with cloud-based voice recognition: a pilot experiment
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In: Zapata, Julián, Castilho, Sheila orcid:0000-0002-8416-6555 and Moorkens, Joss orcid:0000-0003-0766-0071 (2017) Translation dictation vs. post-editing with cloud-based voice recognition: a pilot experiment. In: MT Summit XVI, 18-22 Sept 2017, At Nagoya, Japan. (2017)
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