We present IntelliCAT, an interactive translation interface with neural models that streamline
the post-editing process on machine translation output. We leverage two quality estimation …

We propose a touch-based editing method for translation, which is more flexible than
traditional keyboard-mouse-based translation postediting. This approach relies on touch …

As Machine Translation (MT) becomes increasingly ubiquitous, so does its use in
professional translation workflows. However, its proliferation in the translation industry has …

Compared to fully manual translation, post-editing (PE) machine translation (MT) output can
save time and reduce errors. Automatic word-level quality estimation (QE) aims to predict the …

This study aims to investigate the effect of data augmentation through translation memories
for desktop machine translation (MT) fine-tuning in OPUS-CAT. It also focuses on assessing …

As post-editing of machine translation (PEMT) is becoming one of the most dominant
services offered by the language services industry (LSI), efforts are being made to support …

To translate large volumes of text in a globally connected world, more and more translators
are integrating machine translation (MT) and post-editing (PE) into their translation …

We introduce UDAAN, an open-source post-editing tool that can reduce manual editing
efforts to quickly produce publishable-standard documents in several Indic languages …

Machine translation technology has made great progress in recent years, but it cannot
guarantee error free results. Human translators perform post editing on machine translations …

The shift from traditional translation to post-editing (PE) of machine-translated (MT) text can
save time and reduce errors, but it also affects the design of translation interfaces, as the …