Introduction: Sequence-to-Sequence Learning—NMT
Get an overview of sequence-to-sequence learning and its application in machine translation.
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Sequence-to-sequence learning
Sequence-to-sequence learning is the term used for tasks that require mapping an arbitrary-length sequence to another arbitrary-length sequence. This is one of the most sophisticated tasks in NLP, which involves learning many-to-many mappings. Examples of this task include neural machine translation (NMT) and creating chatbots. NMT is where we translate a sentence from ...