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Models/Attentional encoder-decoder + BPE

Attentional encoder-decoder + BPE

Reported on 7 benchmarks across 1 task · 1 paper · 7 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 TranslationonWMT2016 English-Czech
    BLEU score· 2016-06-09
    25.8
    SOTA
    Edinburgh Neural Machine Translation Systems for WMT 16arXiv:1606.02891
  • Machine TranslationonWMT2016 Romanian-English
    BLEU score· 2016-06-09
    33.3
    best: 40.3 (fast-noisy-channel-modeling)
    SOTA
    Edinburgh Neural Machine Translation Systems for WMT 16arXiv:1606.02891
  • Machine TranslationonWMT2016 English-Russian
    BLEU score· 2016-06-09
    26
    SOTA
    Edinburgh Neural Machine Translation Systems for WMT 16arXiv:1606.02891
  • Machine TranslationonWMT2016 English-German
    BLEU score· 2016-06-09
    34.2
    best: 40.68 (MADL)
    SOTA
    Edinburgh Neural Machine Translation Systems for WMT 16arXiv:1606.02891
  • Machine TranslationonWMT2016 German-English
    BLEU score· 2016-06-09
    38.6
    best: 40.7 (FLAN 137B (few-shot, k=11))
    SOTA
    Edinburgh Neural Machine Translation Systems for WMT 16arXiv:1606.02891
  • Machine TranslationonWMT2016 Russian-English
    BLEU score· 2016-06-09
    28
    SOTA
    Edinburgh Neural Machine Translation Systems for WMT 16arXiv:1606.02891
  • Machine TranslationonWMT2016 Czech-English
    BLEU score· 2016-06-09
    31.4
    SOTA
    Edinburgh Neural Machine Translation Systems for WMT 16arXiv:1606.02891