Approaches to Machine Translation
A paper-review on different techniques for machine translation.
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- 2026-10-10
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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.
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Effective Approaches to Attention-based Neural Machine Translation arxiv.org
Exploring different approaches to attention mechanisms.
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Neural Machine Translation cambridge.org
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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Massive Exploration of Neural Machine Translation Architectures arxiv.org
That yields intuition about the boundaries of what works for doing NMT within a framed seq2seq problem formulation.
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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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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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