Papers

It’s hard to distinguish reality from hype. So, we analyzed 4.3 million translated segments to measure how a Context Sensitive approach compares to NMT in terms of TER (the edit distance it took for the translator to confirm the feed) and what we found was… See for yourself and let us know your thoughts!

What is the best Machine Translation API? Are they all the same? Which one should you use, and for what language? If you have ever wondered what the differences between Google, DeepL, Amazon, and Microsoft are, you need to read this paper. Our engineers dove deep and found out exactly what the performance differences are, and which one you should be using.

A Study of the potential uses and pitfalls of using Large Language Models for translation and linguistic evaluation.