Overview:
Machine Translation is computer generated translation, based on specific algorithm sets. Usually fast and simple to use, MT engines represent a quick and easy, although not always the best solution for translation.
Adaptive machine learning (Adaptive MT) is a system that learns and modifies in real time based on human feedback.
MT is based on chance rather than meaning. It is unable to comprehend the meaning or context of the text it is translating. Because MT assumes the most likely translation, you'll never know if it's right if you can't read both languages.
It's no surprise that machine translation has spawned a completely new translation workflow, Machine Translation Post Editing (MTPE). This hybrid strategy is now specialised by many translators and LSPs. The process starts with a pre-translated text (usually provided by an LSP project manager), which is then evaluated and edited by a linguist.