engleski

Quality assurance in computer-assisted translation in business environment

Increased use of computer-assisted translation (CAT) technology in business settings with augmented amount of tasks, collaborative work and short deadlines give rise to errors and the need for quality assurance (QA). The research has three operational aims: a) methodological framework for QA analysis b) comparative evaluation of four QA tools c) to justify introduction of QA into CAT process. The research includes building of translation memory, terminology extraction and creation of terminology base. Error categorization is conducted by multidimensional quality (MQM) framework. The level of mistake is calculated considering detected, false and not detected errors. Weights are assigned to errors (minor, major or critical), penalties are calculated and quality estimation for translation memory is given. Results show that process is prone to errors due to differences in error detection, harmonization and error counting. Data analysis of detected errors lead to further data-driven decisions related to the quality of output results and improved efficacy of translation business process.

Evaluation, Quality, Error, Translation Memory, Multidimensional Quality Metric, QA Tools, CAT Tools, Technology, ICT in Translation, Data Analysis, Translation Industry, Digital Transformation

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