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

Sequence transduction models are a class of neural networks that take a sequence as input and produce another sequence as output, such as translating text, summarizing, or converting speech. Machine translation is a practical example of this class: it receives a sentence in one language and outputs a sentence in another language. The key idea is that the model learns to map the input sequence to the output sequence through learned representations and attention mechanisms. For instance, an English sentence “I am happy” can be translated by the model into French “Je suis heureux. ” Thus, machine translation is a concrete application of sequence transduction neural networks.