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This lecture covers the evolution of Machine Translation from Statistical Machine Translation to Neural Machine Translation. It explains the core concepts behind Neural Machine Translation, such as sequence-to-sequence models and attention mechanisms. The lecture delves into the challenges faced by Machine Translation systems, the advancements brought by Neural Machine Translation, and the evaluation metrics used in this field.
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