The Evolving Machine Translation And Translation Memory Landscape For Life Sciences

Over the past 70+ years and to this day, translation technology has changed drastically as more companies are focusing on ways to improve their tech performance with data that is higher quality and customizable. Consequently, life sciences organizations have been investing more in AI language automation technologies to drive down costs, reduce time to market, improve translation consistency and quality, and streamline workflows across global operations. 

Machine translation (MT) and translation memory (TM) are two computer-assisted technology (CAT) tools that have helped drive innovation in the life sciences sector. To better understand these language technology tools and their benefits for life sciences organizations, it’s important to understand how the landscape has evolved since they were first introduced, as well as considerations to take into account when deciding on your translation technology partner.