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Front matter |
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Gender Bias in Machine Translation: A Statistical Evaluation of Google Translate and DeepL for English, Italian and German
Argentina Rescigno and Johanna Monti |
pp. 1‑11 |
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The Use of Translation Technologies and Translators’ Technological Competence in Saudi Arabia: Taking Stock of the past Seven Years
Abdelalah Alsolami, Maria Fernandez-Parra and Jun Yang |
pp. 12‑25 |
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An Exploration of Risk in the Use of MT in Healthcare Settings with Abbreviations as a Use Case
Eleanor Taylor-Stilgoe, Constantin Orăsan and Félix do Carmo |
pp. 26‑40 |
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Translations and Open Science: Exploring How Translation Technologies Can Support Multilingualism in Scholarly Communication
Susanna Fiorini, Arda Tezcan, Tom Vanallemeersch, Sara Szoc, Kristin Migdisi, Laurens Meeus and Lieve Macken |
pp. 41‑51 |
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Current Evidence of Post-editese: Differences between Post-edited Neural Machine Translation Output and Human Translation Revealed through Human Evaluation
Michael Farrell |
pp. 52‑63 |
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Effective Editing in Respeaking: Unveiling Uniquely Human Skills in Live Speech-to-Text Transformation
Tomasz Korybski and Elena Davitti |
pp. 64‑77 |
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InterpreTutor: Using Large Language Models for Interpreter Assessment
Cihan Ünlü |
pp. 78‑96 |
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Google Translate vs. ChatGPT: Can Non-language Professionals Trust Them for Specialized Translation?
Lucía Sanz-Valdivieso and Belén López-Arroyo |
pp. 97‑107 |
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Preliminary Evaluation of ChatGPT as a Machine Translation Engine and as an Automatic Post-editor of Raw Machine Translation Output from Other Machine Translation Engines
Michael Farrell |
pp. 108‑113 |
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Leveraging ChatGPT and Multilingual Knowledge Graph for Automatic Post-Editing
Min Zhang, Xiaofeng Zhao, Zhao Yanqing, Hao Yang, Xiaosong Qiao, Junhao Zhu, Wenbing Ma, Su Chang, Yilun Liu, Yinglu Li, Minghan Wang, Song Peng, shimin tao and Yanfei Jiang |
pp. 114‑123 |
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The Proper Place of Men and Machines - Updated
Elliott Macklovitch |
pp. 124‑132 |
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Automatic Detection of Omission in Comparative Literary Translation
Amal Haddad Haddad |
pp. 133‑146 |
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Comparing Interface Designs to Improve RSI Platforms: In-sights from an Experimental Study
Muhammad Ahmed Saeed, Eloy Rodríguez González, Tomasz Korybski, Elena Davitti and Sabine Braun |
pp. 147‑156 |
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A New CAI-tool for RSI Interpreters’ Training: A Pilot Study
Valentina Baselli |
pp. 157‑166 |
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Introducing Speech Recognition in Non-live Subtitling to Enhance the Subtitler Experience (SUBX)
Zeljko Radic, Sabine Braun and Elena Davitti |
pp. 167‑176 |
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Towards a Decentralize Solution for Copyrights Management in Audiovisual Translation and Media Accessibility
Iris Serrat-Roozen and Estella Oncins |
pp. 177‑187 |
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Developing a Customisable Subtitling Tool Based on Academic Research and User Needs
Zeljko Radic |
pp. 188‑194 |
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A Pedagogical Platform for Spoken Post-editing (PE): The Integration of Speech Input into COPECO
Jeevanthi Liyanapathirana, Pierrette Bouillon and Jonathan Mutal |
pp. 195‑202 |
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National Language Technology Platform (NLTP): The Final Stage
Artūrs Vasiļevskis, Jānis Ziediņš, Marko Tadić, Željka Motika, Mark Fishel, Bjarni Barkarson, Claudia Borg, Keith Aquilina and Donatienne Spiteri |
pp. 203‑208 |
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Syntactic Quality Measurement in Machine Translation with Interlinguas
Alessandro Maisto and Javier Oliver |
pp. 209‑226 |
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Analysis and Evaluation of ChatGPT-induced HCI Shifts in the Digitalised Translation Process
Pilar Sánchez-Gijón and Leire Palenzuela-Badiola |
pp. 227‑267 |
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Language Complexity in Human and Machine Translation: A Preliminary Study
Gabor Recski and Fanni Kadar |
pp. 268‑281 |
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Human Evaluation for Translation Quality of ChatGPT: A Preliminary Study
Zhao Yanqing, Min Zhang, Xiaoyu Chen, Yadong Deng, Aiju Geng, Limin Liu, Xiaoqin Liu, Wei Li, Yanfei Jiang, Hao Yang, Yu Han, shimin tao, Xiaochun Li, Ma Miaomiao, Zhaodi Zhang and Xie Ning |
pp. 282‑287 |
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Comparing MTQE Scores with Fuzzy Match Percentages from CAT Tools
Elena Murgolo |
pp. 288‑293 |
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Are Post-editese Features Really Universal?
Lise Volkart and Pierrette Bouillon |
pp. 294‑304 |
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Behind the Scenes: Freelance Translators Use of Machine Translation in the Medical Field
Magali Vidrequin |
pp. 305‑314 |
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Workbench for Post-editing of Translations from English to Dravidian Languages
Sobha Lalitha Devi, Pattabhi R K Rao and Vijay Sundar Ram |
pp. 315‑324 |
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Processing English Verb Phrase Ellipsis for Conversational English-Hindi Machine Translation
Aniruddha Deshpande and Dipti Sharma |
pp. 325‑341 |
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Lost in Innu-Aimun Translation - Re-defining NMT for Indigenous Interpreters and Translators Needs
Antoine Cadotte, Anne-Christina Thernish and Fatiha Sadat |
pp. 342‑353 |
Last modified on February 20, 2024, 4:16 a.m.