Transforming Machine Translation
Technology, as it has in almost every area of business, is playing a transformative role in machine translation. Recent developments in the use of Neural Networks to improve translation quality further highlight how far we have come. The introduction of a Neural Machine Translation (NMT) model, to challenge the widely-used Statistical Machine Translation (SMT) model, amounts to a sea change in the possible speed and quality of translation output, and unveils the unlimited potential that comes from using an artificial intelligence-based approach.
Regardless of the preferred method of machine translation, whether SMT or a future world driven by NMT, the need remains for a scalable, efficient way to manage the translation workflow. There is still no replacement for subject matter experts who manage the post-edit and final review processes. These reviewers ensure that the nuances of the language are properly reflected, and the final message is in context with the cultural norms and values of regional audiences.