Results 1 to 10 of about 264 (206)
The Riddle of (Literary) Machine Translation Quality
Revista Tradumàtica, 2023 This study aims to gauge the reliability and validity of metrics and algorithms in evaluating the quality of machine translation in a literary context.
Gys-Walt van Egdom +2 more
doaj +6 more sources
Machine translation, ethics and the literary translator’s voice
Translation Spaces(Netherland), 2020 Abstract Recent work in translation studies has established the literary translator’s voice as an ethical concern, but there has been little empirical research so far into how the translator’s voice is affected in workflows involving machine translation. In this article, we investigate how the use
Dorothy Kenny, Marion Winters
exaly +5 more sources
What Level of Quality Can Neural Machine Translation Attain on Literary Text? [PDF]
Machine Translation, 2018 Chapter for the forthcoming book "Translation Quality Assessment: From Principles to Practice" (Springer)
Antonio Toral, Andy Way, Way Andy
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Human versus Neural Machine Translation Creativity: A Study on Manipulated MWEs in Literature
Information (Switzerland)In the digital era, the (r)evolution of neural machine translation (NMT) has reshaped both the market and translators’ workflow. However, the adoption of this technology has not fully reached the creative field of literary translation.
Gloria Corpas Pastor +2 more
exaly +3 more sources
Informatics, 2020 Due to the growing success of neural machine translation (NMT), many have started to question its applicability within the field of literary translation.
Margot Fonteyne +2 more
exaly +3 more sources
Translators’ perceptions of literary post-editing using statistical and neural machine translation
Translation Spaces(Netherland), 2018 Abstract In the context of recent improvements in the quality of machine translation (MT) output and new use cases being found for that output, this article reports on an experiment using statistical and neural MT systems to translate literature.
Joss Moorkens +2 more
exaly +4 more sources
Cogent Arts and HumanitiesThe emergence of artificial intelligence (AI) technologies based on Large Language Models (LLMs) is reshaping the translation landscape, particularly by facilitating unprecedented levels of translation efficiency. To unlock the potential of (AI) tools in
Safaa M Abdelhalim +2 more
exaly +3 more sources
Literal or Literary Machine Translation? Case Study: Winnie-The-Pooh
Romanian Journal of English StudiesDespite its widespread commercial use, machine translation has been sparsely employed on literary works, especially on children’s literature. This study focuses on reader comprehension of a chapter from Winnie-the-Pooh translated from English into ...
Rădoi Alina
doaj +2 more sources
Translation Spaces, 2022 AbstractThis article presents the results of a study involving the translation of a short story by Kurt Vonnegut from English to Catalan and Dutch using three modalities: machine-translation (MT), post-editing (PE) and translation without aid (HT). Our aim is to explore creativity, understood to involve novelty and acceptability, from a quantitative ...
Ana Guerberof-Arenas, Antonio Toral
openaire +3 more sources
Equivalence Levels of Literary Corpus Translation Using a Freeware Analysis Toolkit
Buletin Al-Turas, 2021 Machine translation has the potential to make huge contributions to translation industries, but it seems, for now, that machine translation equivalence has led to a crucial point for literary translation by using machine translation because of the ...
Frans Sayogie, Moh. Supardi
doaj +1 more source