CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++

@article{Wang2018CytonMTAE,
  title={CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++},
  author={X. Wang and M. Utiyama and E. Sumita},
  journal={ArXiv},
  year={2018},
  volume={abs/1802.07170}
}
This paper presented an open-source neural machine translation toolkit named CytonMT\footnote{this https URL}. The toolkit was built from scratch using C++ and Nvidia's GPU-accelerated libraries. The toolkit featured training efficiency, code simplicity and translation quality. Benchmarks showed that cytonMT accelerated the training speed by 64.5\% to 110.8\% and achieved a high translation quality only lower than the Google's production engine among the NMT systems of attention-based RNN… Expand
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References

SHOWING 1-10 OF 27 REFERENCES
OpenNMT: Open-Source Toolkit for Neural Machine Translation
  • 1,124
  • Highly Influential
  • PDF
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  • 3,431
  • PDF
Moses: Open Source Toolkit for Statistical Machine Translation
  • 5,472
  • PDF
Massive Exploration of Neural Machine Translation Architectures
  • 341
  • PDF
Nematus: a Toolkit for Neural Machine Translation
  • 326
  • PDF
Addressing the Rare Word Problem in Neural Machine Translation
  • 612
  • Highly Influential
  • PDF
Neural Machine Translation by Jointly Learning to Align and Translate
  • 14,961
  • PDF
On Using Very Large Target Vocabulary for Neural Machine Translation
  • 767
  • PDF
Effective Approaches to Attention-based Neural Machine Translation
  • 4,651
  • Highly Influential
  • PDF
...
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