Search Results - "Castilho, Sheila"
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Post-Editese in Literary Translations
Published in Information (Basel) (01-02-2022)“…In the present study, we investigated the post-editese phenomenon, i.e., the unique features that set machine translated post-edited texts apart from…”
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SHARING HIGH-QUALITY LANGUAGE RESOURCES IN THE LEGAL DOMAIN TO DEVELOP NEURAL MACHINE TRANSLATION FOR UNDER-RESOURCED EUROPEAN LANGUAGES
Published in Revista de llengua i dret (01-12-2022)“…This article reports some of the main achievements of the European Union-funded PRINCIPLE project in collecting high-quality language resources (LRs) in the…”
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A Set of Recommendations for Assessing Human–Machine Parity in Language Translation
Published in The Journal of artificial intelligence research (23-03-2020)“…The quality of machine translation has increased remarkably over the past years, to the degree that it was found to be indistinguishable from professional…”
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Proposal for a Triple Bottom Line for Translation Automation and Sustainability: An Editorial Position Paper
Published in The Journal of specialised translation (30-01-2024)“…This article is both an editorial introduction to the guest-edited special issue of JoSTrans on Translation Automation and Sustainability, and a position paper…”
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Roundtable: Translation Automation and Sustainability
Published in The Journal of specialised translation (25-01-2024)Get full text
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Proposal for a Triple Bottom Line for Translation Automation and Sustainability
Published in The Journal of specialised translation (01-01-2024)“…This article is both an editorial introduction to the guest-edited special issue of JoSTrans on Translation Automation and Sustainability, and a position paper…”
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Evaluating MT for massive open online courses: A multifaceted comparison between PBSMT and NMT systems
Published in Machine translation (01-09-2018)“…This article reports a multifaceted comparison between statistical and neural machine translation (MT) systems that were developed for translation of data from…”
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Editors' foreword to the special issue on human factors in neural machine translation
Published in Machine translation (15-06-2019)Get full text
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Roundtable: Translation Automation and Sustainability
Published in The Journal of specialised translation (01-01-2024)Get full text
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Evaluating MT for massive open online courses: A multifaceted comparison between PBSM and NMT systems
Published in Machine translation (01-09-2018)“…This article reports a multifaceted comparison between statistical and neural machine translation (MT) systems that were developed for translation of data from…”
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Evaluating MT for massive open online courses
Published in Machine translation (01-01-2018)“…This article reports a multifaceted comparison between statistical and neural machine translation (MT) systems that were developed for translation of data from…”
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How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes
Published 05-09-2024“…Decoder-only LLMs have shown impressive performance in MT due to their ability to learn from extensive datasets and generate high-quality translations…”
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Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
Published 30-08-2018“…We reassess a recent study (Hassan et al., 2018) that claimed that machine translation (MT) has reached human parity for the translation of news from Chinese…”
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A Set of Recommendations for Assessing Human-Machine Parity in Language Translation
Published 03-04-2020“…Journal of Artificial Intelligence Research 67 (2020) 653-672 The quality of machine translation has increased remarkably over the past years, to the degree…”
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The human factor in machine translation Routledge Studies in Translation Technology, 1st edition
Published in Machine Translation (01-09-2019)Get full text
Book Review -
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The human factor in machine translation
Published in Machine Translation : MT (01-01-2019)“…Chan Sin-Wai (ed.). (2018). The human factor in machine translation. Routledge Studies in Translation Technology, Routledge, 1st edition, xii+256 pp, ISBN…”
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Book Review