BEER version 2.0

BEER 2.0 is a trained machine translation evaluation metric with high correlation with human judgment both on sentence and corpus level. For the papers that describe BEER in more detail look at the this References section.


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Invitation Model version 1
Version 2 Coming Soon

Implementation of domain adaptation algorithm based on the algorithm described in "Latent Domain Translation Models in Mix-of-Domains Haystack"

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BEER version 1.1

BEER is trained a machine translation evaluation metric which puts special attention on the sentence level evaluation. For details look at the paper BEER: BEtter Evaluation as Ranking (bibtex). Its features include:


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