Implementation of interactive computer software in the translation process, which enables retrieving of already existing similar sentences from the translation memory when translating the new document. It includes the use of translation memory, terminology base and alignment modules, but can become integrated translation software.
Published in Chapter:
Quality Assurance in Computer-Assisted Translation in Business Environments
Sanja Seljan (Faculty of Humanities and Social Sciences, University of Zagreb, Croatia), Nikolina Škof Erdelja (Ciklopea, Croatia), Vlasta Kučiš (Faculty of Arts, University of Maribor, Slovenia), Ivan Dunđer (Faculty of Humanities and Social Sciences, University of Zagreb, Croatia), and Mirjana Pejić Bach (Faculty of Economics and Business, University of Zagreb, Croatia)
Copyright: © 2021
|Pages: 24
DOI: 10.4018/978-1-7998-4240-8.ch011
Abstract
Increased use of computer-assisted translation (CAT) technology in business settings with augmented amounts of tasks, collaborative work, and short deadlines give rise to errors and the need for quality assurance (QA). The research has three operational aims: 1) methodological framework for QA analysis, 2) comparative evaluation of four QA tools, 3) 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 leads to further data-driven decisions related to the quality of output results and improved efficacy of translation business process.