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Front matter |
pages |
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Comparison between Automatic and Human Subtitling: A Case Study with Game of Thrones
Sabrina Baldo de Brébisson |
pp. 1‑10 |
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Parallel Corpus of Croatian-Italian Administrative Texts
Marija Brkic Bakaric and Ivana Lalli Pacelat |
pp. 11‑18 |
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What Influences the Features of Post-editese? A Preliminary Study
Sheila Castilho, Natália Resende and Ruslan Mitkov |
pp. 19‑27 |
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Designing a Frame-Semantic Machine Translation Evaluation Metric
Oliver Czulo, Tiago Torrent, Ely Matos, Alexandre Diniz da Costa and Debanjana Kar |
pp. 28‑35 |
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Human Evaluation of Neural Machine Translation: The Case of Deep Learning
Marie Escribe |
pp. 36‑46 |
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Translationese Features as Indicators of Quality in English-Russian Human Translation
Maria Kunilovskaya and Ekaterina Lapshinova-Koltunski |
pp. 47‑56 |
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The Punster’s Amanuensis: The Proper Place of Humans and Machines in the Translation of Wordplay
Tristan Miller |
pp. 57‑65 |
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Comparing a Hand-crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
Despoina Mouratidis and Katia Lida Kermanidis |
pp. 66‑74 |
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Differences between SMT and NMT Output - a Translators’ Point of View
Jonathan Mutal, Lise Volkart, Pierrette Bouillon, Sabrina Girletti and Paula Estrella |
pp. 75‑81 |
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The Chinese/English Political Interpreting Corpus (CEPIC): A New Electronic Resource for Translators and Interpreters
Jun Pan |
pp. 82‑88 |
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Translation Quality Assessment Tools and Processes in Relation to CAT Tools
Viktoriya Petrova |
pp. 89‑97 |
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Corpus Linguistics, Translation and Error Analysis
Maria Stambolieva |
pp. 98‑104 |
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Human-Informed Speakers and Interpreters Analysis in the WAW Corpus and an Automatic Method for Calculating Interpreters’ Décalage
Irina Temnikova, Ahmed Abdelali, Souhila Djabri and Samy Hedaya |
pp. 105‑115 |
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Towards a Proactive MWE Terminological Platform for Cross-Lingual Mediation in the Age of Big Data
Benjamin K. Tsou, Kapo Chow, JUNRU Nie and Yuan Yuan |
pp. 116‑121 |
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Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings
Michael Ustaszewski |
pp. 122‑128 |
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The Success Story of Mitra Translations
Mina Ilieva and Mariya Kancheva |
pp. 129‑133 |
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The Four Stages of Machine Translation Acceptance in a Freelancer’s Life
Maria Sgourou |
pp. 134‑135 |
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Optimising the Machine Translation Post-editing Workflow
Anna Zaretskaya |
pp. 136‑139 |
Last modified on December 2, 2019, 3:10 p.m.