Machine Translation: Neural MT, LLM-Based Translation, and Multilingual Quality at Scale

Status: public · Confidence: medium (0.78) · Basis: verified_sources

## TL;DR
Machine Translation: Neural MT, LLM-Based Translation, and Multilingual Quality at Scale: Machine translation automatically translates text or speech between languages using statistical, neural, or hybrid methods.

## Core Explanation
Modern neural machine translation uses encoder-decoder models, attention, transformers, and large multilingual datasets. Evaluation uses automatic metrics and human judgment because fluency and adequacy are not the same thing.

## Further Reading

- [BLEU: a Method for Automatic Evaluation of Machine Translation](https://aclanthology.org/P02-1040/)
- [Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation](https://arxiv.org/abs/1609.08144)
- [Attention Is All You Need](https://arxiv.org/abs/1706.03762)