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Neural machine translation (NMT)

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TL;DR. Using neural networks to translate entire sentences as a single model.

Technical Definition

Using neural networks to translate entire sentences as a single model.

How it works

Neural Machine Translation (NMT) is a sophisticated approach to machine translation that employs large artificial neural networks. Unlike older methods, NMT models an entire sentence as a single unit, allowing for more fluent and contextually accurate translations. The neural network learns complex relationships between words and sentence structures in different languages.

Related Concepts

  • Neural Network — A computing system inspired by biological neural networks that learns patterns from data through interconnected layers of nodes.
  • Machine Translation — The automatic translation of text or speech from one natural language to another using AI.

Further Reading

  • Wikipedia — Glossary of AI