Results 1 to 10 of about 1,076,995 (259)

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, Sonia Vandepitte, Robert J. Hartsuiker, Lieve Macken   +3 more
doaj   +4 more sources

A review of the state-of-the-art in automatic post-editing. [PDF]

Mach Transl, 2021
AbstractThis article presents a review of the evolution of automatic post-editing, a term that describes methods to improve the output of machine translation systems, based on knowledge extracted from datasets that include post-edited content. The article describes the specificity of automatic post-editing in comparison with other tasks in machine ...
do Carmo F, Shterionov D, Moorkens J, Wagner J, Hossari M, Paquin E, Schmidtke D, Groves D, Way A.   +8 more
europepmc   +7 more sources

Human or machine? Do source beliefs shape cognitive bias in post-editing? [PDF]

Frontiers in Psychology
As artificial intelligence (AI) translation becomes increasingly integrated into professional and educational contexts, perceptions of “machine vs. human” translation may shape translators’ cognitive and evaluative and post-editing behaviors.
Jing Cao, Tianli Zhou
doaj   +2 more sources

Exploring ChatGPT's potential for augmenting post-editing in machine translation across multiple domains: challenges and opportunities [PDF]

Frontiers in Artificial Intelligence
IntroductionPost-editing plays a crucial role in enhancing the quality of machine-generated translation (MGT) by correcting errors and ensuring cohesion and coherence.
Jeehaan Algaraady, Mohammad Mahyoob
doaj   +2 more sources

Genome Editing Technology for Genetic Amelioration of Fruits and Vegetables for Alleviating Post-Harvest Loss

Bioengineering, 2022
Food security and crop production are challenged worldwide due to overpopulation, changing environmental conditions, crop establishment failure, and various kinds of post-harvest losses. The demand for high-quality foods with improved nutritional quality
Chanchal Kumari, Megha Sharma, Vinay Kumar, Rajnish Sharma, Vinay Kumar, Parul Sharma, Pankaj Kumar, Mohammad Irfan   +7 more
doaj   +3 more sources

Is machine translation post-editing worth the effort? A survey of research into post-editing and effort

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

The Task of Post-Editing Machine Translation for the Low-Resource Language

Applied Sciences
In recent years, machine translation has made significant advancements; however, its effectiveness can vary widely depending on the language pair.
Diana Rakhimova, Aidana Karibayeva, Assem Turarbek   +2 more
doaj   +3 more sources

The Role of Machine Translation Quality Estimation in the Post-Editing Workflow

Informatics, 2021
As Machine Translation (MT) becomes increasingly ubiquitous, so does its use in professional translation workflows. However, its proliferation in the translation industry has brought about new challenges in the field of Post-Editing (PE).
Hannah Béchara, Constantin Orăsan, Carla Parra Escartín, Marcos Zampieri, William Lowe   +4 more
doaj   +3 more sources

Using Machine Translation Error Identification to Improve Translation Students’ Post-Editing Skills [PDF]

Transcultural Journal of Humanities and Social Sciences, 2023
Attempts to investigate challenges facing translation students in post-editing remain limited in literature. This research investigates a common challenge observed during post-editing training using SDL Trados 2021 which is deciding whether to post-edit ...
Nermine Yehia Emara
doaj   +1 more source

When Student Translators Meet With Machine Translation: The Impacts of Machine Translation Quality and Perceived Self-Efficacy on Post-Editing Performance

SAGE Open
Machine translation post-editing (MTPE) is a process where humans and machines meet. While previous researchers have adopted psychological and cognitive approaches to explore the factors affecting MTPE performance, little research has been carried out to
Xinyang Peng, Xiangling Wang, Xiaoye Li
doaj   +2 more sources