Hyperpersonalization leads to better customer engagement, but few localization departments are currently prepared to achieve it. The authors argue that translation management system connectors can help by converging the multitude of platforms involved in multilingual content creation, translation, and publishing via orchestration.
Prior to the introduction of LLMs, NMT defined the computer-assisted translator’s toolset. And to some degree, it still does. But many in the industry have recently taken steps to promote LLMs to the new default. In this article, leaders from six of the world’s most influential language companies share their perspectives on the best approach to automated translation.
What makes a translation management system (TMS) unique? Which one fits the needs of my business? We compare 12 prominent TMSs based on features like pricing, file formats, deployment models, and APIs.
While it’s too early to make firm statements, it’s not unlikely that linguistic AI labs like DeepL or large language models (LLM) such as GPT-3 will be embedded in different steps of the translation process. The increasing penetration of AI in language services is keeping industry analysts busy as potential disruptions now need to be defined.
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