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Don’t stumble blindly into machine translation!

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

Synergies between terminology and ontology – my master’s thesis

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.
Ontologies in the Semantic Web

Ontologies in the Semantic Web

Terms such as “Ontology” and “Semantic Web” are still a new territory for many. However, in today's information society, which is characterized by digitalization and automation, these terms are gaining more and more importance. We would like to show you why ontologies are becoming increasingly significant as the next logical step after the introduction of efficient terminology management and the establishment of a consistent terminology collection. But what are ontologies? What do they look like and how can they be represented? And what is their purpose - especially regarding their use in the Semantic Web?
From Terminology to Ontology

From Terminology to Ontology

Conceptual relations are the basic precondition that lead to understanding terminology. But what is behind these relationships? What relations exist between terms? How can a semantic network be created with conceptual relations? And how does this help us to re-use terminology in computer-readable ontologies?
The best of 15 blc-years? M(T)emories!

The best of 15 blc-years? M(T)emories!

Today in our 'blc stories' it's all about machine translation (MT) - we've all heard about it, of course. But ever since the quality of machine translation has improved significantly with neural MT, it's spreading like this unspeakable virus. And if you don't know how to use MT properly, it might even end badly.
Home? Office!

Home? Office!

In these difficult days, we hear more and more people calling for home office that really works. Not to boast (OK maybe just a little bit): blc has already been working ‘hybrid’ for years! What that means? Two days home office per week for everyone who wants it. How this came about, why it works very well (contrary to my first expectations) and which tools make life easier in home office and office office? Read my blog!
Conceptual relationships: terminology and semantic networks

Conceptual relationships: terminology and semantic networks

Good, concept-based terminology management requires technical coordination, a clear definition and the standardised establishment of preferred terms. However, in order to fully grasp concepts, it is essential to understand and record the relationships to neighbouring concepts. Concept maps with concepts as nodes and relationships as lines are used to represent the relationships between concepts. But what does "relationship between concepts" actually mean and what conceptual relationships exist?