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Journal Articles
- 2022
[j6]Sheila Castilho
, Natália Resende:
Post-Editese in Literary Translations. Inf. 13(2): 66 (2022)- 2020
- [j5]Samuel Läubli, Sheila Castilho, Graham Neubig, Rico Sennrich, Qinlan Shen, Antonio Toral:
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation. J. Artif. Intell. Res. 67: 653-672 (2020) - 2019
- [j4]Sheila Castilho, Federico Gaspari, Joss Moorkens, Maja Popovic, Antonio Toral:
Editors' foreword to the special issue on human factors in neural machine translation. Mach. Transl. 33(1-2): 1-7 (2019) - [j3]Sheila Castilho:
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). Mach. Transl. 33(3): 259-268 (2019) - 2018
- [j2]Sheila Castilho, Joss Moorkens, Federico Gaspari, Rico Sennrich, Andy Way, Panayota Georgakopoulou:
Evaluating MT for massive open online courses - A multifaceted comparison between PBSMT and NMT systems. Mach. Transl. 32(3): 255-278 (2018) - 2017
- [j1]Sheila Castilho, Joss Moorkens, Federico Gaspari, Iacer Calixto, John Tinsley, Andy Way:
Is Neural Machine Translation the New State of the Art? Prague Bull. Math. Linguistics 108: 109-120 (2017)
Conference and Workshop Papers
- 2024
- [c28]Inacio Vieira, Will Allred, Séamus Lankford, Sheila Castilho, Andy Way:
How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes. AMTA (1) 2024: 236-249 - [c27]João Camargo, Sheila Castilho, Joss Moorkens:
Perceptions of Educators on MTQA Curriculum and Instruction. EAMT (1) 2024: 492-506 - 2023
- [c26]Sheila Castilho, Clodagh Quinn Mallon, Rahel Meister, Shengya Yue:
Do online Machine Translation Systems Care for Context? What About a GPT Model? EAMT 2023: 393-417 - [c25]Markus Freitag, Nitika Mathur, Chi-kiu Lo, Eleftherios Avramidis, Ricardo Rei, Brian Thompson, Tom Kocmi, Frédéric Blain, Daniel Deutsch, Craig Stewart, Chrysoula Zerva, Sheila Castilho, Alon Lavie, George F. Foster:
Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent. WMT 2023: 578-628 - 2022
- [c24]Sheila Castilho, Natália Resende:
MT-Pese: Machine Translation and Post-Editese. EAMT 2022: 303-304 - [c23]Sheila Castilho:
DELA Project: Document-level Machine Translation Evaluation. EAMT 2022: 319-320 - [c22]Petra Bago, Sheila Castilho, Jane Dunne, Federico Gaspari, Andre Kåsen, Gauti Kristmannsson, Jon Arild Olsen, Natália Resende, Níels Rúnar Gíslason, Dana Davis Sheridan, Páraic Sheridan, John Tinsley, Andy Way:
Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian. EAMT 2022: 347-348 - [c21]Desline Simon, Sheila Castilho, Pintu Lohar, Haithem Afli:
TransCasm: A Bilingual Corpus of Sarcastic Tweets. PoliticalNLP@LREC 2022: 98-103 - [c20]Sheila Castilho:
How Much Context Span is Enough? Examining Context-Related Issues for Document-level MT. LREC 2022: 3017-3025 - 2021
- [c19]Sheila Castilho, João Lucas Cavalheiro Camargo, Miguel Menezes, Andy Way:
DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues. WMT@EMNLP 2021: 566-577 - 2020
- [c18]Meghan Dowling, Sheila Castilho, Joss Moorkens, Teresa Lynn, Andy Way:
A human evaluation of English-Irish statistical and neural machine translation. EAMT 2020: 431-440 - [c17]Sheila Castilho:
Document-Level Machine Translation Evaluation Project: Methodology, Effort and Inter-Annotator Agreement. EAMT 2020: 455-456 - [c16]Sheila Castilho, Maja Popovic, Andy Way:
On Context Span Needed for Machine Translation Evaluation. LREC 2020: 3735-3742 - [c15]Sheila Castilho:
On the Same Page? Comparing Inter-Annotator Agreement in Sentence and Document Level Human Machine Translation Evaluation. WMT@EMNLP 2020: 1150-1159 - 2019
- [c14]Sheila Castilho, Natália Resende, Federico Gaspari, Andy Way, Tony O'Dowd, Marek Mazur, Manuel Herranz, Alexandre Helle, Gema Ramírez-Sánchez, Víctor M. Sánchez-Cartagena, Marcis Pinnis, Valters Sics:
Large-scale Machine Translation Evaluation of the iADAATPA Project. MTSummit (2) 2019: 179-185 - [c13]Maja Popovic, Sheila Castilho:
Are ambiguous conjunctions problematic for machine translation? RANLP 2019: 959-966 - 2018
- [c12]Sheila Castilho, Ana Guerberof Arenas:
Reading Comprehension of Machine Translation Output: What Makes for a Better Read? EAMT 2018: 99-108 - [c11]Antonio Toral, Martijn Wieling, Sheila Castilho, Joss Moorkens, Andy Way:
Project PiPeNovel: Pilot on Post-editing Novels. EAMT 2018 - [c10]Maximiliana Behnke, Antonio Valerio Miceli Barone, Rico Sennrich, Vilelmini Sosoni, Thanasis Naskos, Eirini Takoulidou, Maria Stasimioti, Menno van Zaanen, Sheila Castilho, Federico Gaspari, Panayota Georgakopoulou, Valia Kordoni, Markus Egg, Katia Lida Kermanidis:
Improving Machine Translation of Educational Content via Crowdsourcing. LREC 2018 - [c9]Vilelmini Sosoni, Katia Lida Kermanidis, Maria Stasimioti, Thanasis Naskos, Eirini Takoulidou, Menno van Zaanen, Sheila Castilho, Panayota Georgakopoulou, Valia Kordoni, Markus Egg:
Translation Crowdsourcing: Creating a Multilingual Corpus of Online Educational Content. LREC 2018 - [c8]Antonio Toral, Sheila Castilho, Ke Hu, Andy Way:
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation. WMT 2018: 113-123 - 2017
- [c7]Iacer Calixto, Daniel Stein, Evgeny Matusov, Sheila Castilho, Andy Way:
Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles. VL@EACL 2017: 31-37 - [c6]Iacer Calixto, Daniel Stein, Evgeny Matusov, Pintu Lohar, Sheila Castilho, Andy Way:
Using Images to Improve Machine-Translating E-Commerce Product Listings. EACL (2) 2017: 637-643 - [c5]Sheila Castilho, Joss Moorkens, Federico Gaspari, Rico Sennrich, Vilelmini Sosoni, Panayota Georgakopoulou, Pintu Lohar, Andy Way, Antonio Valerio Miceli Barone, Maria Gialama:
A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators. MTSummit (1) 2017: 116-131 - [c4]Julián Zapata, Sheila Castilho, Joss Moorkens:
Translation Dictation vs. Post-editing with Cloud-based Voice Recognition: A Pilot Experiment. MTSummit (2) 2017: 116-129 - 2016
- [c3]Sheila Castilho, Sharon O'Brien:
Evaluating the Impact of Light Post-Editing on Usability. LREC 2016 - 2014
- [c2]Sheila Castilho, Sharon O'Brien, Fábio Alves, Morgan O'Brien:
Does post-editing increase usability? A study with Brazilian Portuguese as target language. EAMT 2014: 183-190 - 2012
- [c1]Wilker Aziz, Sheila Castilho, Lucia Specia:
PET: a Tool for Post-editing and Assessing Machine Translation. LREC 2012: 3982-3987
Parts in Books or Collections
- 2023
- [p1]Inguna Skadina, Andrejs Vasiljevs, Marcis Pinnis, Aivars Berzins, Nora Aranberri, Joachim Van den Bogaert, Sally O'Connor, Mercedes García-Martínez, Iakes Goenaga, Jan Hajic, Manuel Herranz, Christian Lieske, Martin Popel, Maja Popovic, Sheila Castilho, Federico Gaspari, Rudolf Rosa, Riccardo Superbo, Andy Way:
Deep Dive Machine Translation. European Language Equality 2023: 263-287
Informal and Other Publications
- 2024
- [i3]Inacio Vieira, Will Allred, Séamus Lankford, Sheila Castilho, Andy Way:
How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes. CoRR abs/2409.03454 (2024) - 2020
- [i2]Samuel Läubli, Sheila Castilho, Graham Neubig, Rico Sennrich, Qinlan Shen, Antonio Toral:
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation. CoRR abs/2004.01694 (2020) - 2018
- [i1]Antonio Toral, Sheila Castilho, Ke Hu, Andy Way:
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation. CoRR abs/1808.10432 (2018)
Coauthor Index
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