Papers with automated search

2 papers
Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation (2023.acl-long)

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Challenge: a genetic algorithm (GA) based method improves MT quality and identifies weaknesses in evaluation metrics.
Approach: They propose a genetic algorithm-based method for modifying n-best lists produced by a machine translation system using a fitness function.
Outcome: The proposed method improves translation quality and identifies weaknesses in evaluation metrics.
Searching for More Efficient Dynamic Programs (2021.findings-emnlp)

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Challenge: a combinatorial model of human language often involves dynamic programming.
Approach: They propose to search for a sequence of semantics-preserving transformations to improve the initial program's running time.
Outcome: The proposed algorithm can find speed-ups in the initial program, and it can be used to improve it.

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