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Scored Systems
System | Submitter | System Notes | Constraint | Run Notes | BLEU | BLEU-cased | TER | BEER 2.0 | CharactTER |
---|---|---|---|---|---|---|---|---|---|
Fascha (Details) | Fascha University of Regensburg |
yes |
41.5 |
40.2 |
0.461 |
0.655 |
0.433 |
||
UniMelb-NMT-Transformer-BT (Details) | vhoang The University of Melbourne, Australia |
NMT with Transformer architecture (medium size, 4 heads + 4 encoder/decoder layers) enhanced with WMT'16 back-translation data. (decoding with single best system) | yes |
40.3 |
39.0 |
0.471 |
0.643 |
0.449 |
|
uedin-nmt-ensemble (Details) | rsennrich University of Edinburgh |
BPE neural MT system with monolingual training data (back-translated). ensemble of 4, reranked with right-to-left model. | yes |
39.9 |
38.6 |
0.481 |
0.643 |
0.446 |
|
uedin-nmt-single (Details) | rsennrich University of Edinburgh |
BPE neural MT system with monolingual training data (back-translated). single model. (contrastive) | yes |
37.5 |
36.2 |
0.503 |
0.628 |
0.469 |
|
uedin-pbt-wmt16-de-en (Details) | Matthias Huck University of Edinburgh |
Phrase-based Moses | yes | with LDC Gigaword |
36.4 |
35.1 |
0.525 |
0.626 |
0.489 |
Moses Phrase-Based (Details) | jhu-smt Johns Hopkins University |
Phrase-based model, word clusters for all model components (LM, OSM, LR, sparse features), neural network joint model, large cc LM | yes | [25-8] |
35.8 |
34.5 |
0.531 |
0.623 |
0.487 |
uedin-syntax (Details) | uedin-maria University of Edinburgh |
GHKM, cc-monolingual | yes |
35.9 |
34.4 |
0.533 |
0.624 |
0.487 |
|
KIT primary (Details) | eunah.cho KIT |
yes | Phrase-based MT with Rescoring using NN Models |
35.3 |
33.9 |
0.529 |
0.623 |
0.488 |
|
uedin-pbt-wmt16-de-en-contrastive (Details) | Matthias Huck University of Edinburgh |
Phrase-based Moses (contrastive, 2015 system) | yes | with LDC Gigaword |
35.1 |
33.8 |
0.535 |
0.619 |
0.496 |
jhu-syntax (Details) | sding Johns Hopkins University |
GHKM, cc-monolingual | yes |
32.3 |
31.0 |
0.571 |
0.598 |
0.524 |
|
ParFDA (Details) | bicici |
de-en ParFDA Moses phrase-based SMT system | yes | de-en (after the deadline) |
31.4 |
30.1 |
0.575 |
0.596 |
0.546 |