# Neural Machine Translation: A Review of Methods, Resources, and Tools

arXiv: https://arxiv.org/abs/2012.15515 · HTML: https://mlsanity.com/paper/2012.15515/

## Key facts

- Cited by 19 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Dec 2020.

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## Abstract (arXiv)

Machine translation (MT) is an important sub-field of natural language processing that aims to translate natural languages using computers. In recent years, end-to-end neural machine translation (NMT) has achieved great success and has become the new mainstream method in practical MT systems. In this article, we first provide a broad review of the methods for NMT and focus on methods relating to architectures, decoding, and data augmentation. Then we summarize the resources and tools that are useful for researchers. Finally, we conclude with a discussion of possible future research directions.