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Learning Path
Foundations of NLP → Practical MT System Development
This learning path guides NLP practitioners through the design, implementation, and evaluation of machine translation systems. It covers the evolution from statistical phrase-based models to modern neural architectures with attention and transformers, including multilingual and low-resource scenarios. The path emphasizes hands-on practice with evaluation metrics and real-world considerations.
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14 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.