Data-Driven Natural Language Translation (MT) Algorithm

A Data-Driven Natural Language Translation (MT) Algorithm is a natural language translation algorithm that is a data-driven NLP algorithm.

• Context:
  • It can be implemented by a Data-Driven Machine Translation System (to solve a data-driven MT task).
  • It can range from being a Supervised MT Algorithm to being an Unsupervised MT Algorithm.
  • …
• Example(s):
  • a Statistical Natural Language Translation Algorithm.
  • a Neural Natural Language Translation Algorithm.
  • …
• Counter-Example(s):
  • Rule-based Machine Translation.
  • Example-based Machine Translation.
• See: MT Algorithm, Statistical Parsing Algorithm.

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References

2020

• (Wikipedia, 2020) ⇒ https://en.wikipedia.org/wiki/Statistical_machine_translation Retrieved:2020-9-14.
  • Statistical machine translation ... is a machine translation paradigm where translations are generated on the basis of statistical models whose parameters are derived from the analysis of bilingual text corpora. The statistical approach contrasts with the rule-based approaches to machine translation as well as with example-based machine translation. ... Before the introduction of neural machine translation, it was by far the most widely studied machine translation method.

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