1. ScienceDirect
    https://www.sciencedirect.com/science/article/pii/S2666651020300024

    Neural machine translation: A review of methods, resources, and …

    • Machine Translation (MT) is an important task that aims to translate natural language sentences using computers. The early approach to machine translation relies heavily on hand-crafted translation rules and lin… 展开

    Overview

    Machine translation (MT) is an important sub-field of natural language processing that aims to t… 展开

    ScienceDirect
    2. Methods

    As a data-driven approach to machine translation, NMT also embraces the probabilistic framework. Mathematically speaking, the goal of NMT is to estimate an unknown conditi… 展开

    ScienceDirect
    3. Resources

    3.1. Parallel data
    Bilingual parallel corpora are the most important resources for NMT. There are several publicly available corpora, such as the datasets pro… 展开

    ScienceDirect
    4. Tools

    With the rapid advances of deep learning, many open-source deep learning frameworks have emerged, with TensorFlow (Abadi et al., 2016) and PyTorch (Paszk… 展开

    ScienceDirect
    5. Conclusion

    Neural machine translation has become the dominant approach to machine translation in both research and practice. This article reviewed the widely used methods in NMT, including modeli… 展开

    ScienceDirect
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    目录
    Overview
    2. Methods
    3. Resources
    4. Tools
    5. Conclusion
    What is end-to-end neural machine translation (NMT)?
     
  1. Neural machine translation, or NMT for short, is the use of neural network models to learn a statistical model for machine translation. The key benefit to the approach is that a single system can be trained directly on source and target text, no longer requiring the pipeline of specialized systems used in statistical machine learning.

    A Gentle Introduction to Neural Machine Translation

    machinelearningmastery.com/introduction-neural-machine-translation/
    machinelearningmastery.com/introduction-neural-machine-translation/
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  2. 其他用户还问了以下问题
    Can neural machine translation be scaled to 200 languages?
    Scaling neural machine translation to 200 languages is achieved by No Language Left Behind, a single massively multilingual model that leverages transfer learning across languages.

    Scaling neural machine translation to 200 languages | Nature

    nature.com
    What is neural machine translation?
    Nature 630, 841–846 (2024) Cite this article The development of neural techniques has opened up new avenues for research in machine translation. Today, neural machine translation (NMT) systems can leverage highly multilingual capacities and even perform zero-shot translation, delivering promising results in terms of language coverage and quality.

    Scaling neural machine translation to 200 languages | Nature

    nature.com
    What is end-to-end neural machine translation (NMT)?
    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.

    Neural machine translation: A review of methods, resources, and tools

    sciencedirect.com
    What is a pure neural machine translation system?
    The development of pure neural machine translation systems has started with the use of convolutional models and sequence-to-sequence models. In 2013, Kalchbrenner and Blunsom introduced a class of continuous translation models that translates a sentence from a source language into a target language.

    Neural machine translation: past, present, and future | Neural

    link.springer.com
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  3. Nature
    https://www.nature.com/articles/s41586-024-07335-x

    Scaling neural machine translation to 200 languages - Nature

  4. arXiv.org
    https://arxiv.org/abs/2012.15515

    Neural Machine Translation: A Review of Methods, Resources, and …

  5. arXiv.org
    https://arxiv.org/abs/1409.0473

    Neural Machine Translation by Jointly Learning to Align and …

  6. Springer
    https://link.springer.com/article/10.1007/s11431-020-1632-x

    Neural machine translation: Challenges, progress and future

  8. Google Research
    http://research.google/blog/a-neural...m…

    A Neural Network for Machine Translation, at …

    网页2016年9月27日 · Today we announce the Google Neural Machine Translation system (GNMT), which utilizes state-of-the-art training techniques to achieve the largest improvements to date for machine …

  9. Springer
    https://link.springer.com/article/10.1007/s00521-021-06268-0

    Neural machine translation: past, present, and future

  10. Google Research
    https://research.google/pubs/neural-machine-translation-a-review

    Neural Machine Translation: A Review - Google Research

  11. Google Research
    http://research.google/blog/zero-shot-tra…

    Zero-Shot Translation with Google’s Multilingual …

    网页2016年11月22日 · In addition to improving translation quality, our method also enables “Zero-Shot Translation” — translation between language pairs never seen explicitly by the system. Here’s how it works. Let’s say …

  12. ResearchGate
    https://www.researchgate.net/publication/34…

    Neural machine translation: A review of methods, …

    网页2020年1月1日 · 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 …