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Pushdown automata in statistical machine translation (2014)

Quality: 8/10 Relevance: 9/10

Summary

The article examines the use of pushdown automata concepts within statistical machine translation, bridging formal automata theory with data-driven NLP approaches. It discusses how stack-based representations can capture hierarchical linguistic structures in MT and considers implications for decoding efficiency and translation quality.

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