Software Localization Vertical Report

It comes as little surprise that Life Sciences is a sector firmly on the rise. While access to healthcare is democratizing across the globe, the growing needs of patients go hand in hand with technological advancements transforming the way businesses operate.

Machine translation (MT) costs vary based on different options. Customized MT, tailored to business slang, provides better translations but comes with higher upfront costs. When choosing an MT method, consider both fixed (e.g., domain-specific content translation) and variable costs (tied to annual translation volume). Compare the Customized NMT to other modern-day solutions. Its complexity is justified only when newer solutions can’t replace it.

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.

In the realm of machine translation (MT), the evolution from traditional neural machine translation (NMT) – pioneered by Google Translate in 2016 – to the advent of large language models (LLM) marks a significant paradigm shift.