Sequence-to-Sequence Neural Machine Translation (NMT) System

A Sequence-to-Sequence Neural Machine Translation (NMT) System is an NMT system that can is based on a neural seq2seq model training system.

• AKA: seq2seq-based Neural Machine Translation (NMT) System.
• Example(s):
  • It can solve a seq2seq NMT task by implementing a seq2seq NMT algorithm.
  • a TensorFlow-based NMT, such as: tf-seq2seq [1]
  • …
• Counter-Example(s):
  • Rule-based Machine Translation System,
  • Example-based Machine Translation System,
  • Tree-based Machine Translation System.
• See: Statistical Machine Translation System, Sequence-to-Sequence Neural Network, Natural Language Processing System, Language Model, Linguistic Sequence.

---

---

References

2017

• (Github, 2017) ⇒ https://google.github.io/seq2seq/
  • QUOTE: ... tf-seq2seq is a general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more.

---