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.
Based on data Nimdzi has collected around the translation management systems (TMS) market over the past decade, we have compiled the first public version of our TMS Compass. We have supplemented the data with the cumulative knowledge and experience of our experts who work with a variety of TMS products on a daily basis.
Thirty years ago, one of the most prominent newspapers in Brazil published a story in which I described how "everything that I achieved in my profession was because of the computer." I explained how I enhanced my computers to increase performance and that my clients wanted their jobs printed in color.
Ever since it first appeared on the scene, the use of machine translation (MT) in the language services industry has increased steadily. Once a cause for panic that sent many to believe that MT was the beginning of the end of the translation industry, today MT is just another tool in the toolbox and a normal part of the translation workflow at many language service providers (LSPs).
Summer is upon us. Your brand planning is already a distant memory and as your team gets ready for the upcoming summer vacation season, your eyes might already be set on September, with updated goals, adjustments to your brand strategy, and some exciting new ideas to try out.
Introduction On May 30th, Nimdzi Insights hosted a panel discussion with i18n experts on current and future internationalization best practices. The discussionwas a valuable event held to shed light on the evolving landscape of i18n and provide insights into its importance, challenges, and best practices. The event featured prominent panelists with extensive experience in i18n, […]
Remote interpreting solutions have been both in development and in use for a long time now. However, prior to the COVID-19 pandemic, uptake was slow. The onset of the pandemic changed this drastically, and, ever since, it seems that the growth, innovation, and investment in this field has been unstoppable. Once considered an afterthought or sub-par alternative to onsite services, remote interpreting has stepped out of the shadows to become the key to continuity of business and care in many industries.
The language services industry is undergoing a profound transformation with the emergence of cutting-edge technologies such as ChatGPT and large language models (LLMs). These powerful language generation models have captivated the attention of businesses and language professionals alike, offering exciting possibilities for translation, localization, and content creation.
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.
Developing your own approach to using generative AI models such as ChatGPT — one that is both practical AND ethically sound — is perhaps the best way of proving naysayers wrong and ensuring that you get the most out of this promising piece of technology. Perhaps surprisingly, the first key to success with generative AI models is to learn how to talk to them.