Here Are the Top 10 Most Influential Research Papers on Neural Machine Translation
The most-cited neural machine translation research papers show how NMT came to dominate the field — and how academia and industry’s interests have evolved.
Guillaume Klein
Is Google’s New Lingvo Framework a Big Deal for Machine Translation?
Neural machine translation experts weigh in on Google’s open sourcing of Lingvo, a sequence modeling framework built on TensorFlow.
The 4,000 Lines of Code Harvard Hopes Will Change Translation
Harvard and Systran publish a paper on their open-source neural machine translation model, OpenNMT. Research toolkit is a complete NMT implementation. Creators hope it will become the Moses of NMT.
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