Blog

Let’s be strategic
Quality

Let’s be strategic

By
September 23, 2021
Defining a strategy sounds complicated? Not at all! We create strategies all the time, for example, investment strategies or nutrition strategies. Simply put, a strategy is a plan for behavior in order to achieve goals in a more or less distant future (for example, lose 10 kilos 😉). If this goal is very far in the future, you can also speak of a vision ("When I retire in 30 years, I want to be financially independent.").
testing
Quality

The importance of testing

By
August 12, 2021
2"Is everything working the way it should now?" This question is often uttered while introducing translation memory, terminology management or similar systems. We can quite simply answer this question with "Yes!" If, and only if  conscientious testing  has been carried out from start to finish. In this blog, I present errors and obstacles we have encountered in client projects when introducing new tools. And of course I also explain why a conscientious test management guarantees a successful system go-live!
A small FAQ on multilingual communication
Support

A small FAQ on multilingual communication

By
July 15, 2021
You would like to further develop your communication processes, but can't find the time for it? Your company is too small to optimize anything? Your translation agency claims to have everything under control, but you are not sure what is going on behind the scenes? We will answer your questions!
Terminology without LQA? No way!
Terminology

Terminology without LQA? No way!

By
May 20, 2021
We have heard it many times in customer projects and never tire of emphasizing it: Terminology alone is not enough! Texts will always need to undergo language quality assurance (LQA) and a terminology check. Only like this, terminology can be used in the first place. Similarly, it does not suffice to introduce LQA without clean terminology either.
Titelbild_730
NMT

Data Grooming for Machine Translation

By
March 24, 2021
Preparing training data for Machine Translation (MT) by using data grooming can seem like a mammoth task. And there is some truth to this. In practice, the huge variety of “contaminations” in training data plus high training data volumes can pose real challenges. This blog discusses why grooming is still a worthwhile investment and how automation can help save a lot of time and effort.
Scoping – From Vision to Machine Translation
NMT

Scoping – From Vision to Machine Translation

By
March 11, 2021
"We'll just buy a good machine translation system and everyone can just use that!" This is pretty much what corporate management sounds like for translation managers when it comes to introducing machine translation. However, prior to implementing such a tool, the risks and complexity of introducing MT should be assessed carefully. For our customers, this is where scoping has proven its worth. What this means and how scoping should be carried out in a company is the subject of my blog.
Machine translation

Don’t stumble blindly into machine translation!

By
February 18, 2021
Machine translation (MT) seems ingenious: fantastic translation results, available to all thanks to neural MT - fast, uncomplicated and seemingly free of charge! All good reasons why companies are rushing to embrace machine translation (MT). Now is the time to form a solid strategy on how, why and with what benefit they want to use machine translation!
Synergies between terminology and ontology – my master’s thesis
Ontology

Synergies between terminology and ontology – my master’s thesis

By
January 14, 2021
Last March I joined blc as a master's student. The goal: to write a master's thesis on the synergies of terminology and ontologies by October. And even though I am no longer a master's student, but now support blc in the area of translation and terminology management on a full-time basis, the topic is still with me. After all, it was my constant companion for 6 to 7 months. So in this blog, I will tell you a little more about the subject and why it is so important. First of all, synergies between terminology and ontology are not only something for the theoreticians among us. No, you can also use these synergies efficiently for yourself in day-to-day work.