Neural Machine Translation
This introduction to machine translation starts from the basics of neural network methods and reaches the state of the art, while giving historical, linguistic, and applied context. Code examples in Python give a hands-on blueprint for implementation. The author is still…
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- 2026-10-10
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Statistical Machine Translation cambridge.org
Establishes background in NLP and statistics, then develops the basics through to current research. By the end readers can build their own translation systems. The author is Philipp Koehn.
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Neural Machine Translation and Sequence-to-sequence Models: A Tutorial arxiv.org
Interesting overview of the subject of NMT, I mostly read part 8 about RNNs with attention as a refresher.
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Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation arxiv.org
In 2016: stacked residual LSTMs with attention mechanisms on encoder/decoder are the best for NMT (Neural Machine Translation).
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Machine Translation coursera.org
Explains the basic principles of translation algoritms. It is provided by the Karlsruhe Institute of Technology (Germany).
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Neural Machine Translation jair.org
A paper-review that trace back the origins of modern NMT architectures to word and sentence embeddings and earlier examples of the encoder-decoder network family. It will conclude with a short survey of more recent trends in the field.
Translations › Books: “This introduction to machine translation starts from the basics of neural network methods and reaches the state of the art, while giving historical, linguistic, and applied context. Code examples in Python give a hands-on blueprint for implementation. The author is still…”