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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