Papers by Mohamed Al-badrashiny

1 papers
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only (2023.acl-industry)

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Challenge: EvolveMT is a method for the efficient combination of multiple machine translation engines.
Approach: They propose a method that selects the output from one engine for each segment and uses online learning techniques to predict the most appropriate system for each translation request.
Outcome: The proposed method achieves similar translation accuracy at a lower cost than selecting the best translation of each segment from all translations using an MT quality estimator.

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