OpenNMT - Open-Source Neural Machine Translation
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An open source neural machine translation system.
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is an open source ecosystem for neural machine translation and neural sequence learning.
Started in December 2016 by the
Harvard NLP
group and
SYSTRAN
, the project has since been used in
several research and industry applications
. It is currently maintained by
and
Ubiqus
OpenNMT provides implementations in 2 popular deep learning frameworks:
OpenNMT-py
User-friendly and multimodal, benefiting from PyTorch ease of use.
Documentation
Pretrained models
OpenNMT-tf
Modular and stable, powered by the TensorFlow ecosystem.
Each implementation has its own set of
unique features
but shares similar goals:
Highly configurable model architectures and training procedures
Efficient model serving capabilities for use in real world applications
Extensions to allow other tasks such as text generation, tagging, summarization, image to text, and speech to text
The OpenNMT ecosystem also includes projects to cover the full NMT workflow:
CTranslate2
Efficient inference engine for Transformer models on CPU and GPU.
Tokenizer
Fast and customizable text tokenization library with BPE and SentencePiece support.
OpenNMT is an open source ecosystem for neural machine translation and is licensed under the MIT license.
Source code