Results 31 to 40 of about 6,139,878 (265)
Discriminative Prediction of A-To-I RNA Editing Events from DNA Sequence. [PDF]
PLoS ONE, 2016 RNA editing is a post-transcriptional alteration of RNA sequences that, via insertions, deletions or base substitutions, can affect protein structure as well as RNA and protein expression.
Jiangming Sun +8 more
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transLogos: Translation Studies Journal, 2021 The aim of this article is to investigate translation trainees’ perceived difficulties and benefits of a post-editing oriented neural machine translation (NMT) error annotation and quality evaluation task which was carried out for the language pair ...
Işın ÖNER, Senem ÖNER BULUT
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JoSTrans: The Journal of Specialised Translation, 2019 This study explores the post-editing process when working within the newly introduced neural machine translation (NMT) paradigm. To this end, an experiment was carried out to examine the differences between post-editing Google neural machine translation (
Yanfang Jia +2 more
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F11R expression upon hypoxia is regulated by RNA editing. [PDF]
PLoS ONE, 2013 F11R is a cell adhesion molecule found on the surface of human platelets. It plays a role in platelet aggregation, cell migration and cell proliferation.
Michal Ben-Zvi +3 more
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Hermes, 2017 As the translation profession has become more technologized, translators increasingly work within an interface that combines translation from scratch, translation memory suggestions, machine translation post-editing, and terminological resources.
Joss Moorkens, Ryoko Sasamoto
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The impact of Google Neural Machine Translation on Post-editing by student translators
JoSTrans: The Journal of Specialised Translation, 2019 The author of this study used the design of a 2014 experiment that investigated college students' post-editing potential. The raw Google statistical machine translation (SMT) used in the 2014 experiment was replaced with the raw Google neural machine ...
Masaru Yamada
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Dictating translations with automatic speech recognition: Effects on translators’ performance
Frontiers in Psychology, 2023 Technologies can greatly improve translators’ productivity and reduce their workload. Previous research has found that the use of automatic speech recognition (ASR) tools for dictating translations can increase productivity.
Lulu Wang, Sanjun Sun
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JoSTrans: The Journal of Specialised Translation, 2019 This paper reports on a study that analyses the impact of two different machine translation (MT) outputs on the cognitive effort required to post-edit machine-translated metaphors by means of eye tracking and think-aloud protocols.
Arlene Koglin, Rossana Cunha
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L'intelligenza artificiale per la traduzione: orizzonti, pratiche e percorsi formativi
MediAzioni, 2023 The present paper functions as an introduction to this special issue of mediAzioni, which brings together selected papers presented at the Translating Europe Workshop entitled "L'intelligenza artificiale per la traduzione verso una nuova progettazione ...
Maria Margherita Mattioda +2 more
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JoSTrans: The Journal of Specialised Translation, 2019 In recent decades, post-editing has received its fair share of attention in the industry as well as in academic circles. What has attracted by far the most attention is the question of quality: together, machine translation and post-editing defy long ...
Gys-Walt Van Egdom, Mark Pluymaekers
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