memoQ — Flexible Translation Options
MemoQ offers neural machine translation in over 100 languages, using several machine translation systems. So you can get accurate translations of your documents, no matter the source language. MemoQ also offers human translation services. Just choose the right option for your needs.
In 2020, experts estimated neural machine translation had an accuracy of 60%-90%. Then, in an article last year, “Lionbridge’s R&D teams estimate that Neural Machine Translation is improving by 3-7% every year."
When you average the above numbers and account for bosnia and herzegovina mobile database the improvements, neural machine translation has around a 70% to 99% accuracy rate.
However, the accuracy of a neural machine translation system is better determined by the BLEU score. The accuracy of the system's translations is compared to human-generated translations to calculate the BLEU score. The closer the match, the higher the score. Other popular metrics include METEOR and NIST.
neural machine translation
Determining The Quality Of Neural Translation Systems
Size & Complexity Of Training Dataset
First, one of the most crucial quality factors is the size and complexity of the dataset used to train the system. If the system is trained on a small or simple dataset, its accuracy will be lower than a system trained on a large or complex dataset. Additionally, the system's quality may also decline over time as new data gets added to the training set.