Online Service for Translation Quality Assessment

Student: Marinosyan Nikita

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2019

Despite the constant growth of localization industry, there has been a notable gap of tools which could simplify the work of translators. In this paper we focus on various aspects of translation quality assessment process. After analyzing existing tools, we conclude that there is no specialized application for manual translation quality assessment, while automated software is not reliable. Based on these results, we propose web application written in Angular and Go whose purpose is to make the process of translation quality assessment more straightforward and easy-to-conduct. The application allows to organize the process QA, gathers statistics about translators and automatically calculates the quality score according to the best practices of localization industry. The paper also provides the description of basic user workflow, quality scoring algorithm and details of implementation.

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