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Attention in sequence-to-sequence models

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Sequence-to-sequence models are used to map sequential data from one domain to another, and are at the core of machine translation (MT) technologies such as Google Translate. In this talk, we build up the major milestones of neural machine translation. This talk will also introduce the attention mechanism, which forms the basis of virtually all state-of-the-art machine translation techniques we have today.

This talk is part of the Churchill CompSci Talks series.

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