Results 1 to 10 of about 6,139,878 (265)
Identifying the Machine Translation Error Types with the Greatest Impact on Post-editing Effort [PDF]
Frontiers in Psychology, 2017 Translation Environment Tools make translators’ work easier by providing them with term lists, translation memories and machine translation output. Ideally, such tools automatically predict whether it is more effortful to post-edit than to translate from
Joke Daems +3 more
doaj +10 more sources
Correlations of perceived post-editing effort with measurements of actual effort [PDF]
Machine Translation, 2015 Human rating of predicted post-editing effort is a common activity and has been used to train confidence estimation models. However, the correlation between human ratings and actual post-editing effort is under-measured. Moreover, the impact of presenting effort indicators in a post-editing user interface on actual post-editing effort has hardly been ...
Igor Á Lourenço da Silva +2 more
exaly +6 more sources
Indices of cognitive effort in machine translation post-editing [PDF]
Machine Translation, 2014 Identifying indices of effort in post-editing of machine translation can have a number of applications, including estimating machine translation quality and calculating post-editors' pay rates. Both source-text and machine-output features as well as subjects' traits are investigated here in view of their impact on cognitive effort, which is measured ...
Lucas Nunes Vieira
exaly +6 more sources
Post-editing Effort of a Novel With Statistical and Neural Machine Translation [PDF]
Frontiers in Digital Humanities, 2018 We conduct the first experiment in the literature in which a novel is translated automatically and then post-edited by professional literary translators. Our case study is Warbreaker, a popular fantasy novel originally written in English, which we translateinto Catalan.
Andy Way +2 more
exaly +11 more sources
Towards Predicting Post-editing Effort with Source Text Readability [PDF]
JoSTrans: The Journal of Specialised TranslationThis paper investigates the impact of source text readability on the effort of post-editing English-Chinese Neural Machine Translation (NMT) output.
Guangrong Dai, Siqi Liu
doaj +4 more sources
What Do You Say? Comparison of Metrics for Post-editing Effort [PDF]
Machine Translation, 2021 The research leading to this work was partially funded by the Spanish MEIC and MCIU (UnsupNMT TIN2017-91692-EXP and DOMINO PGC2018-102041-BI00, co-funded by EU FEDER), and the BigKnowledge project (BBVA foundation grant 2018).
Nora Aranberri
exaly +4 more sources
JoSTrans: The Journal of Specialised Translation, 2016 Advances in the field of machine translation have recently generated new interest in the use of this technology in various scenarios. This development raises questions over the roles of humans and machines as machine translation appears to be moving from
Maarit Koponen
doaj +2 more sources
transLogos: Translation Studies Journal, 2023 This paper aims to investigate the effect of error annotation on post-editing effort and post-edited product. The study also attempts to highlight the significance of quality evaluation, particularly error annotation, which, I believe, is a useful method
Sena EKİNCİ
doaj +3 more sources
SAGE Open, 2023 With the increasing utilization of Machine Translation, it is worth exploring in what areas it actually reduces translators’ effort. This study focuses on the English-Chinese language pair and compares the effort of human translation (HT) and that of ...
Ying Cui, Xiao Liu, Yuqin Cheng
doaj +2 more sources
Direction matters: Comparing post-editing and human translation effort and quality.
PLoS ONEThis study investigates the critical yet understudied influence of translation direction on both neural machine translation post-editing (PE) and human translation (HT) processes.
Sanjun Sun, Hao Wang, Yanfang Jia
doaj +4 more sources