Neuroverkkokonekäännös
Neuroverkkokonekäännös, often referred to as NMT, is a type of machine translation that utilizes artificial neural networks to translate text or speech from one language to another. Unlike earlier statistical machine translation methods that broke down sentences into smaller phrases and translated them independently, NMT models consider the entire sentence as a whole. This allows for a more contextual understanding of the source text, leading to more fluent and natural-sounding translations.
The core of an NMT system is typically an encoder-decoder architecture. The encoder processes the input sentence
NMT has significantly advanced the field of machine translation, producing translations that are often indistinguishable from