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Sequence-to-Sequence Learning – Neural Machine Translation
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 one language (source language) to another (target language). Google Translate is an example of an NMT system. Chatbots (that is, software that can communicate with/answer a person) are able to converse with humans in a realistic manner. This is especially useful for various service providers, as chatbots can be used ...
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