Part 5/12:
- Neural Machine Translation (NMT) in 2016-2017 marked a breakthrough, employing deep learning to understand context and generate more natural translations. However, NMT struggled with capturing nuances or specialized industry language, often producing translations that lacked cultural or contextual appropriateness.
Despite these advancements, the speaker points out limitations—such as NMT's difficulty with understanding context, maintaining the tone, and handling proper nouns like brand names or locations, which remain untranslated to preserve accuracy.