6.4. 2. Timeframe.................................................................................................... 139 6.4. 3. Test
groups................................................................................................... 139 6.4. 4. Test …

Digital Research Methods for Translation Studies introduces digital humanities methods and
tools to translation studies. This accessible book covers computer-assisted approaches to …

Deep neural models tremendously improved machine translation. In this context, we
investigate whether distinguishing machine from human translations is still feasible. We …

This paper reports on the organization and results of the first Automatic Translation Memory
Cleaning Shared Task. This shared task is aimed at finding automatic ways of cleaning …

We present TMop, the first open-source tool for automatic Translation Memory (TM)
cleaning. The tool implements a fully unsupervised approach to the task, which allows …

We address the problem of automatically cleaning a large-scale Translation Memory (TM) in
a fully unsupervised fashion, ie without human-labelled data. We approach the task by: i) …

We address the problem of automatically cleaning a translation memory (TM) by identifying
problematic translation units (TUs). In this context, we treat as “problematic TUs” those …

The act of human translation is a process in which source data is analysed, processed and
the target data produced. The act itself, although similar, is unique in details for every …

We describe a machine learning based method to identify incorrect entries in translation
memories. It extends previous work by Barbu (2015) through incorporating recall-based …

The last years witnessed an increasing interest in the automatic methods for spotting false
translation units in translation memories. This problem presents a great interest to industry …