The exception here is the United States. This is because in the US, the healthcare market is the largest sector but unlike in other countries, healthcare is not part of the public sector.
The second largest buyers then are private businesses, such as companies, lawyers, banks, insurances, and in the US also hospitals. We group these under “corporate”.
The third and by far the smallest category are individuals. It is very uncommon for individuals to purchase interpreting services directly, as it is usually the institutions that serve the customers that are the ones that pay. However, there are three countries that have an exception to this rule:
The interpreting market is a diverse and complex sector within the language industry. There are different modes — consecutive, simultaneous, and whispered interpreting — and different modalities, i.e. onsite, over-the-phone (OPI), and video-remote interpreting (VRI). There are different types of interpreting, like medical, legal, community, and conference interpreting and all of them come with their own requirements.
With a pandemic raging across the globe neither subtitling nor in-person recording was a viable option. Studios set their sights on building a remote recording framework. However, as the need for remote recording became more apparent, so too did the challenges that implementing it would pose.
It’s often said that “the show must go on,” but can the show really keep going when production is hamstrung by a global pandemic and the show’s crew are required to maintain physical distance from one another? COVID-19 and the resulting social distancing requirements have disrupted practically every industry on the planet. As a result, […]
In December 2020, Nimdzi was given an opportunity to test a brand new product — Spotlight. It is developed by Intento to support machine translation (MT) curation, enabling quick analysis of the MT training results. This product is intended mainly for those who train custom MT models and thus regularly face the task of evaluating MT quality.