seq2seq-based Neural Linguistic Translation (NMT) Algorithm

A seq2seq-based Neural Linguistic Translation (NMT) Algorithm is a neural MT algorithm that is a neural seq2seq algorithm.

• Context:
  • It can be implemented by a seq2seq NMT System.
  • …
• Example(s):
  • …
• Counter-Example(s):
  • Neural Seq2Seq Error Correction Algorithm.
• See: Char-level Seq2Seq.

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References

2013a

• (Kalchbrenner & Blunsom, 2013) ⇒ Nal Kalchbrenner, and Phil Blunsom. (2013). “Recurrent Continuous Translation Models.” In: Proceedings of EMNLP 2013 (EMNLP-2013).

2013b

• (Auli et al., 2013) ⇒ Michael Auli, Michel Galley, Chris Quirk, and Geoffrey Zweig. (2013). “Joint Language and Translation Modeling with Recurrent Neural Networks.” In: Proceedings of EMNLP 2013 (EMNLP-2013).

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