Pre-editing Strategy Based on Automatic Evaluation of Translation Complexity to Improve the Quality of Specialized Texts Machine Translation into English
Alena A. Zhivotova, Victor Dmitrievich Berdonosov · Computational Linguistics and Intellectual Technologies · 2023
The study addresses the issue of applying optimizing pre-editing of Russian-language texts in order to improve the quality of machine translation into English. A probabilistic assessment of translation task complexity is proposed to be used for selecting a pre-editing strategy. A generalized model of the translation process is presented. A mathematical model and algorithm for automated assessment of translation task complexity are proposed. Test of the model on specialized texts of oil and gas industry is described, which showed that the estimate correlates with an estimate of translation quality and can be used in selecting a strategy for optimizing pre-editing of source texts in machine translation tasks.