While several studies report translator resistance to post-editing, translators whose work has
followed the evolution of translation technology may consider post-editing to be translation …

Understood as the relative excellence of a translation product or process, quality can be
measured in many ways, including automatic comparison metrics, evaluation by translators …

Over the last four decades, considerable efforts have been devoted to the modeling and
evaluation of human translation processes. This article takes a closer look at the evolution of …

With the advent of neural machine translation (NMT), machine-generated texts increasingly
resemble human translations. This paradigm shift calls for a comprehensive understanding …

Nowadays translation proper is rarely professional translators' sole activity. Translation
revision and post-editing (PE) are often also part of translators' tasks. As such, traditional …

We present online learning techniques for statistical machine translation (SMT). The
availability of large training data sets that grow constantly over time is becoming more and …

Globalization has dramatically increased the need of translating information from one
language to another. Frequently, such translation needs should be satisfied under very tight …

Traditionally, human–machine interaction to reach an improved machine translation (MT)
output takes place ex-post and consists of correcting this output. In this work, we investigate …

Interactive translation prediction (ITP) is a modality of computer-aided translation that assists
professional translators by offering context-based computer-generated continuation …

Automatic Post-Editing (APE) aims to correct systematic errors in a machine translated text.
This is primarily useful when the machine translation (MT) system is not accessible for …