How does LILT's human-in-the-loop model improve translation quality?

“Human input corrects nuances, terminology, and contextual details that AI alone may miss. Each edit teaches the system to adapt to preferred style, vocabulary, and industry-specific language. Over time, this creates a compounding improvement in quality across all translated content.”