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Models/SMT as posterior regularization

SMT as posterior regularization

Reported on 6 benchmarks across 1 task · 1 paper · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing6 results

  • Machine TranslationonWMT2014 English-French
    BLEU· 2019-01-14
    29.5
    best: 38.27 (BERT-fused NMT)
    SOTA
    Unsupervised Neural Machine Translation with SMT as Posterior RegularizationarXiv:1901.04112
  • Machine TranslationonWMT2014 French-English
    BLEU· 2019-01-14
    28.9
    best: 39.2 (GPT-3 175B (Few-Shot))
    SOTA
    Unsupervised Neural Machine Translation with SMT as Posterior RegularizationarXiv:1901.04112
  • Machine TranslationonWMT2014 English-German
    BLEU· 2019-01-14
    17
    best: 22.5 (SMT + NMT (tuning and joint refinement))
    SOTA
    Unsupervised Neural Machine Translation with SMT as Posterior RegularizationarXiv:1901.04112
  • Machine TranslationonWMT2016 English-German
    BLEU· 2019-01-14
    21.7
    best: 29.7 (GPT-3 175B (Few-Shot))
    SOTA
    Unsupervised Neural Machine Translation with SMT as Posterior RegularizationarXiv:1901.04112
  • Machine TranslationonWMT2014 German-English
    BLEU· 2019-01-14
    20.4
    best: 27 (SMT + NMT (tuning and joint refinement))
    SOTA
    Unsupervised Neural Machine Translation with SMT as Posterior RegularizationarXiv:1901.04112
  • Machine TranslationonWMT2016 German-English
    BLEU· 2019-01-14
    26.3
    best: 40.6 (GPT-3 175B (Few-Shot))
    Unsupervised Neural Machine Translation with SMT as Posterior RegularizationarXiv:1901.04112