Pangeanic will work towards the creation of the National European Central Translation Memory Data Platform (NEC TM DATA), a project awarded by the...
Pangeanic participated at Meet Central Europe. We have long championed technological innovation and development. With our very own cloud-based translation technologies; Cor, Activa TM and our Neural Machine Translation and AI division PangeaMT, we understand it is paramount for the industry to adapt to the fast-paced and disruptive nature of technology.
Our latest endeavor, awarded by the European Commission, will see Pangeanic working towards the creation of a National European Central Translation Memory Data Platform (NEC TM DATA). Three months into the project, our team is diligently working on the technical specifications of the cloud-based infrastructure and data mining for the first white paper on public translation contracts, set to be published this February. But what exactly is NEC TM? Simply put, NEC TM will be Europe’s central, cloud-based solution for data-sharing, where member states will use Translation Memories as shareable data and general data, to be put to use for machine learning. Pangeanic envisioned NEC TM through the lens of industry’s best practices, with the aim of invigorating the public sector with the profitability and efficiency brought about by technology. With its 24 official languages, there is no surprise the EU and its member states are huge buyers of translation services, purchasing many millions of euros worth of translation contracts annually. NEC TM would not only be cost-effective, but also align with the European Commission’s goal to support and promote the centralization, sharing and re-use of data. In a strive to raise awareness of the project and promote better data-sharing practices, Pangeanic’s team jetted off to Meet Central Europe in Budapest this month, where they networked with several LSPs and national representatives of the Association of Translation Companies across member states. The event at large confirmed our belief that the translation industry is under large-scale transformation. With technological advancements in Natural Language Processing and the rapid atomisation of translation workflows, we recognize the need for translation companies to shift their practices towards a culture that integrates Machine Translation and to think in terms of generating Big Data.
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