OpenNMT-py Tutorial

Neural Machine Translation (NMT) tutorial with OpenNMT-py. Data preprocessing, model training, evaluation, and deployment.

Fundamentals

• Data Processing (notebook | code)
• NMT Model Training with OpenNMT-py (notebook)
• Translation/Inference with CTranslate2 (code)
• MT Evaluation with BLEU and other metrics (tutorial | code | notebook)
• Simple Web UI (tutorial | code)

Advanced Topics

• Running TensorBoard with OpenNMT (tutorial)
• Low-Resource Neural Machine Translation (tutorial)
• Domain Adaptation with Mixed Fine-tuning (tutorial)
• Overview of Domain Adaptation Techniques (tutorial)
• Multilingual Machine Translation (tutorial)
• Using Pre-trained NMT models with CTranslate2 (M2M-100 | NLLB-200)
• Domain-Specific Text Generation for Machine Translation (paper | article | code)
• Adaptive Machine Translation with Large Language Models (paper | code)
• Fine-tuning Large Language Models for Adaptive Machine Translation (paper | code)

Citations

@misc{moslem-2022-OpenNMTtutorial,
    title = "{OpenNMT-py} Tutorial: Neural Machine Translation Data Preprocessing, Model Training, and Evaluation",
    author = "Moslem, Yasmin",
    year = "2022",
    publisher = "GitHub",
    url = "https://github.com/ymoslem/OpenNMT-Tutorial",
    note = "GitHub repository"
}

@inproceedings{moslem-etal-2022-domain,
    title = "Domain-Specific Text Generation for Machine Translation",
    author = "Moslem, Yasmin  and
      Haque, Rejwanul  and
      Kelleher, John  and
      Way, Andy",
    booktitle = "Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)",
    month = sep,
    year = "2022",
    address = "Orlando, USA",
    publisher = "Association for Machine Translation in the Americas",
    url = "https://aclanthology.org/2022.amta-research.2",
    pages = "14--30",
}