The Nimdzi Language Technology Atlas maps over 800 different technology solutions across a number of key product categories. The report highlights trends and things to watch out for. This is the only map you will ever need to navigate your way across the language technology landscape.
The year is 2023. Six years after the big neural MT push of 2017, it seems appropriate to say that machine translation (MT) has finally found its way in the localization industry. Most MT providers are producing reasonably acceptable baseline quality and MT solutions have never been more accessible. As a result, MT is becoming a reality in many organizations. What’s more, MT technology has reached a certain level of maturity in terms of customization and training.
Continuous improvement in machine translation (MT) technology means that MT engines are expected to get ever more effective. One of the areas where this is already happening is fuzzy matches for MT.
1 December 2022
It is a given nowadays that when organizations expand internationally or consolidate their existing global presence, they need to invest in localization. This does not simply mean linguistic resources but also technological investments that contribute to translation productivity among other efficiencies.
28 November 2022