Sequence Transduction Models : Neural Networks :: Machine Translation : ?

Sequence transduction models are a class of neural networks that convert one sequence into another, such as text or speech. Machine translation is an application that takes a sentence in one language and produces a sentence in another. Because it performs a sequence‑to‑sequence mapping, it falls under the same umbrella as sequence transduction models. Thus, machine translation can be described as a type of sequence transduction model. For example, translating “Hello” to “Hola” uses a sequence transduction model to map the input word sequence to the output word sequence.