Overview:
Machine Translation (MT) refers to computer-generated translation powered by predefined algorithmic models. While MT systems are typically fast and easy to use, they offer a convenient but not always fully accurate solution for translation needs.
Adaptive Machine Translation (Adaptive MT) is an advanced system that continuously learns and improves in real time based on human feedback and post-editing input.
Machine Translation operates on probability rather than true understanding. It does not interpret meaning or context; instead, it selects the most statistically likely translation. As a result, accuracy cannot be fully guaranteed unless the output is reviewed by a bilingual expert.
This limitation has led to the development of a dedicated workflow known as Machine Translation Post-Editing (MTPE). In this hybrid process, content is first pre-translated—typically via an MT engine integrated by an LSP project manager—and then carefully reviewed, refined, and corrected by professional linguists to ensure quality and accuracy.
