Post-editing of English to Russian machine translation: Issues, methods, and optimization
Anna Andreevna Khromova, Renata Razifovna Lukmanova · Philology Theory & Practice · 2024
The aim of the study is to develop recommendations for optimizing English to Russian machine translation of scientific texts in the field of natural sciences during the post-editing stage, focusing on enhancing the quality of machine translation. The article provides a systematic categorization of post-editing methods for machine translation from English to Russian of texts in the field of natural sciences, specifically neurobiology, and conducts a multi-faceted analysis of the post-editing process of machine translation. This indicates the scientific novelty of the research. Successful post-editing examples are presented, discussing its prospects for improving machine translation systems. The results revealed that during post-editing, challenges arise as online services generate incorrect syntactic structures or introduce terminological units which meanings differ from those in the original language. An important task for the post-editor is to enhance the text's comprehension, which can be achieved, for instance, through sentence reconstruction.