best practices
Data Preparation Best Practices for Neural MT
In any machine learning task, the quality and volume of training data available is a critical determinant of the system that is developed. The importance of data is real for both Statistica…
best practices
Sharing Efforts to get the most from MT and Post-Editing
This is a guest post from Luigi Muzii which is basically made up primarily of the speaker notes of his presentation at the ELIA Together 2018 conference. I believe that Luigi has wise wor…
best practices
Machine Translation Maturity Model (MTMM)
This is a guest post by Valeria Cannavina, Project Coordinator at Donnelley Language Solutions, adopting the Common Sense Advisory’s Localization Maturity Model (LMM) which is itself an ad…
best practices
LSP Perspective: Applying the Human Touch to MT, Qualitative Feedback in MT evaluation
In all the discussion on MT that we hear, we do not often hear much about the post-editors and what could be done to enhance and improve the often negatively viewed PEMT task. Lucía Guer…
best practices
Linguistic Quality Assurance in Localization – An Overview
This is a post by Vassilis Korkas on the quality assurance and quality checking processes being used in the professional translation industry . (I still find it really hard to say local…