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Models/PBSMT + NMT

PBSMT + NMT

Reported on 7 benchmarks across 1 task · 1 paper · 3 SOTA

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

Natural Language Processing7 results

  • Machine TranslationonWMT2014 English-French
    BLEU· 2018-04-20
    27.6
    best: 38.27 (BERT-fused NMT)
    SOTA
    Phrase-Based & Neural Unsupervised Machine TranslationarXiv:1804.07755
  • Machine TranslationonWMT2014 French-English
    BLEU· 2018-04-20
    27.7
    best: 39.2 (GPT-3 175B (Few-Shot))
    SOTA
    Phrase-Based & Neural Unsupervised Machine TranslationarXiv:1804.07755
  • Machine TranslationonWMT2016 English-German
    BLEU· 2018-04-20
    20.2
    best: 29.7 (GPT-3 175B (Few-Shot))
    SOTA
    Phrase-Based & Neural Unsupervised Machine TranslationarXiv:1804.07755
  • Machine TranslationonWMT2016 English-Russian
    BLEU score· 2018-04-20
    13.76
    best: 26 (Attentional encoder-decoder + BPE)
    Phrase-Based & Neural Unsupervised Machine TranslationarXiv:1804.07755
  • Machine TranslationonWMT2014 English-German
    BLEU score· 2018-04-20
    20.23
    best: 35.14 (Transformer Cycle (Rev))
    Phrase-Based & Neural Unsupervised Machine TranslationarXiv:1804.07755
  • Machine TranslationonWMT2016 English-Romanian
    BLEU score· 2018-04-20
    25.13
    best: 34.7 (DeLighT)
    Phrase-Based & Neural Unsupervised Machine TranslationarXiv:1804.07755
  • Machine TranslationonWMT2014 English-French
    BLEU score· 2018-04-20
    27.6
    best: 46.4 (Transformer+BT (ADMIN init))
    Phrase-Based & Neural Unsupervised Machine TranslationarXiv:1804.07755