Papers with lexically constrained decoding

2 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.
Edit-Constrained Decoding for Sentence Simplification (2024.findings-emnlp)

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Challenge: Existing studies have shown that lexically constrained decoding is effective for sentence simplification, but their constraints can be loose and may lead to sub-optimal generation.
Approach: They propose an edit operation based on lexically constrained decoding for sentence simplification using a dictionary of technical terms as constraints.
Outcome: The proposed method outperforms previous studies on English simplification corpora and is based on lexical paraphrasing.

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