Tensor2Tensor for Neural Machine Translation
Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer
arXiv:1803.07416v11423 citations
Originality Synthesis-oriented
AI Analysis
This work provides a tool for researchers and practitioners in machine translation, but it is incremental as it packages existing methods into a library.
The paper introduces Tensor2Tensor, a library for deep learning models, specifically targeting neural machine translation and providing the reference implementation of the state-of-the-art Transformer model.
Tensor2Tensor is a library for deep learning models that is well-suited for neural machine translation and includes the reference implementation of the state-of-the-art Transformer model.