Last March I joined blc as a master’s student. The goal: to write a master’s thesis on the synergies of terminology andontologies 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.

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It is not long now until the beginning of the new year. And what would this time be without a few good New Year’s resolutions? Do you have any or are you just waiting for anything the new year might have in store for you? We at blc have a little tradition. In our Allstars blog we come together and share our resolutions and maybe even one or two wishes. This time, however, we have come up with something a bit different and left out some words that are so characteristic for the year 2020. Can you guess which words they are? Enjoy reading!

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Terminology management is a never ending process. But why? The reason is simple: Terminology, corporate language and specific technical terms change over time. Therefore, one must constantly maintain, update and clean terminological data.

In our blog series, we address this topic: How to incorporate individual terminology processes into a smooth workflow. In today’s blog post, we focus on the importance of terminology cleansing for coordinated, coherent terminology workflows. Read more →

Today’s Translation Management Systems (TMS) are usually equipped with a variety of connectors for the integration of Machine Translation Systems (MT systems). More and more systems, like Google AutoML, are now enabling users to train engines with their own language data.
With an increasing number of user-specific engines in various languages and specialist areas (domains), the TMS, connector and machine translation system need to work together smoothly to enable flexible integration of the engines.

Today’s installment of our blog series showcases this integration process via the example of the cloud-based MT system KantanMT and the TMS Across. First, we will discuss the MT System KantanMT and then go on to explain how it is integrated into the translation process within Across.

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AlsoComprehensive and efficient terminology management and the underlying coordination processes are becoming increasingly important. But what does a “perfect terminology workflow” look like? Which steps are relevant to ensure that terminology is correctly recorded, maintained and – above all – observed? And which tools pave the way to the ideal terminology workflow? In this new blog series, we’re going to take a closer look at the steps of terminology management in different systems. Today’s focus is the Across terminology management!

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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?

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