This paper studies the impact of machine translation (MT) on the translation workflow at the
Directorate-General for Translation (DGT), focusing on two language pairs and two MT …

Current advances in machine translation (MT) increase the need for translators to switch
from traditional translation to post-editing (PE) of machine-translated text, a process that …

To improve the function of machine translation to adapt to global language translation, the
work takes deep neural network (DNN) as the basic theory, carries out transfer learning and …

This paper investigates the impact of source text readability on the effort of post-editing
English-Chinese Neural Machine Translation (NMT) output. Six readability formulas …

In this paper, we analyze a wide range of physiological, behavioral, performance, and
subjective measures to estimate cognitive load (CL) during e-learning. To the best of our …

This paper describes strategies to improve an existing web-based computer-aided
translation (CAT) tool entitled CATaLog Online. CATaLog Online provides a post-editing …

This study explores the interaction effect between source text (ST) complexity and machine
translation (MT) quality on the task difficulty of neural machine translation (NMT) post-editing …

The linguistic, psycholinguistic, and neural processes underlying simultaneous interpreting
and translation have attracted widespread interest in the research community. However, an …

In order to improve the efficiency of the English translation, machine translation is gradually
and widely used. This study briefly introduces the neural network algorithm for speech …

Machine translation, as an efficient tool, can achieve equivalent conversion between
different languages while preserving the original semantics. At present, machine translation …