Ural Federal University Researcher Publishes New Data on Machine Translation (As sessing The Quality of Automated Translation in The Metallurgical Industry)
Ural Federal University Researcher Publishes New Data on Machine Translation (As sessing The Quality of Automated Translation in The Metallurgical Industry)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on machine translati on have been published. According to news reporting out of Ural Federal Universi ty by NewsRx editors, research stated, “With the continuous increase in the volu me of information circulating within the industrial sector, the problem of infor mation processing is becoming increasingly apparent.” The news editors obtained a quote from the research from Ural Federal University : “The rapid development of international cooperation is causing an increase in the workload of employees involved in translation of foreign documents. The meta llurgical industry is abound in terms and specialized vocabulary, and therefore, the implementation of machine translation systems to deal with technical texts in this sphere requires thorough preparation. The need to reduce the time requir ed to edit a translated text and improve its quality is the main reason for sear ching for the optimal service that provides online translation services for tech nical texts. The current research is focused on the analysis of existing transla tion systems in order to identify the most suitable one for translating technica l documentation in the metallurgical industry. Special attention is paid to the assessment of the quality of the automated translation of the terms from the Rus sian language to the English language.”
Key words
Ural Federal University/Emerging Techno logies/Machine Learning/Machine Translation
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