Bibliographic citations
Rabanal, A., (2022). Análisis de los resultados de traducción automática y posedición del inglés al español del artículo médico Cancer-Related Fatigue [Trabajo de suficiencia profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/661142
Rabanal, A., Análisis de los resultados de traducción automática y posedición del inglés al español del artículo médico Cancer-Related Fatigue [Trabajo de suficiencia profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/661142
@misc{renati/400530,
title = "Análisis de los resultados de traducción automática y posedición del inglés al español del artículo médico Cancer-Related Fatigue",
author = "Rabanal Ponte, Alejandra Rosario",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
The development of technology has allowed the creation and constant update of various tools that are now part of the translation process, including machine translation engines. In this context, the translation industry has adapted to new technologies and has adopted the stages of machine translation and post-editing. The present study is conducted due to an interest in the growing demand for machine translation post-editing services in the medical field by language service providers. In this regard, it should be noted that machine translation engines continue to improve and increase the productivity and speed of the human translators during the post-editing process. The aim of this paper is to analyze the machine translation and post-editing results of the medical article Cancer-Related Fatigue (published in the journal Cancer and worked with the Google's API machine translation engine).
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