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Exploring Model Consensus to Generate Translation Paraphrases
2020
Proceedings of the Fourth Workshop on Neural Generation and Translation
This paper describes our submission to the 2020 Duolingo Shared Task on Simultaneous Translation And Paraphrase for Language Education (STAPLE). This task focuses on improving the ability of neural MT systems to generate diverse translations. Our submission explores various methods, including Nbest translation, Monte Carlo dropout, Diverse Beam Search, Mixture of Experts, Ensembling, and Lexical Substitution. Our main submission is based on the integration of multiple translations from multiple
doi:10.18653/v1/2020.ngt-1.19
dblp:conf/aclnmt/LiFS20
fatcat:yvfn4bjkabg5ncaonzajxva7ki