Comparing MTQE Scores with Fuzzy Match Percentages from CAT Tools
Orbital14, Milano, Italy, Elena Murgolo · 2023
Due to the increasing integration of machine translation (MT) workflows in the day-to-day operations of many LSPs around the world, the raw output quality is becoming one of the key elements to be considered during translation and localization tasks, as it has a direct influence on turn-around times and overall costs.One of the key factors in the use of machine translation quality estimation (MTQE) tools will be the possibility to create readable reports for all stakeholders within the localization workflow.In the following, a preliminary work on the analysis of MTQE scores and on the creation of such a report by comparing them with fuzzy match percentages from CAT tools will be illustrated.