Papers with constrained or guided decoding

1 papers
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation (N18-1)

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Challenge: Existing approaches to neural machine translation have computational complexities that are either linear or exponential in the number of constraints.
Approach: They propose an algorithm for lexically constrained decoding with a complexity of O(1) in the number of constraints.
Outcome: The proposed algorithm can place constraints and improve results in simulated post-editing tasks.

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