Results 11 to 20 of about 127,438 (249)
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
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Towards Predicting Post-editing Effort with Source Text Readability
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
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Effort-Aware Neural Automatic Post-Editing [PDF]
Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), 2019 For this round of the WMT 2019 APE shared task, our submission focuses on addressing the “over-correction” problem in APE. Over-correction occurs when the APE system tends to rephrase an already correct MT output, and the resulting sentence is penalized by a reference-based evaluation against human post-edits.
Amirhossein Tebbifakhr +2 more
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Assessing Post-editing Effort in the English-Hindi Direction
CoRR, 2021 ICON ...
Arafat Ahsan +2 more
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JoSTrans: The Journal of Specialised Translation, 2017 This article reports on a key-logging study carried out to test the benefits of post-editing Machine Translation (MT) for the professional translator within a hypothetico-deductive framework, contrasting the outcomes of a number of variables which are ...
Ben Screen
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Translating science fiction in a CAT tool: machine translation and segmentation settings
Translation and Interpreting : the International Journal of Translation and Interpreting Research, 2023 There is increasing interest in machine assistance for literary translation, but research on how computer-assisted translation (CAT) tools and machine translation (MT) combine in the translation of literature is still incipient, especially for non ...
Lucas Nunes Vieira +4 more
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Product and Process Analysis of Machine Translation into the Inflectional Language
SAGE Open, 2021 This study focuses on the influence of quality of Machine Translation (MT) output on a translator’s performance. We analyze the translator’s effort by product analysis and process analysis. The product analysis consists of MT quality evaluation according
Dasa Munkova +3 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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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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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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