Machine Translation On Wmt 2017 Latvian
Metrics
BLEU
Results
Performance results of various models on this benchmark
Model Name | BLEU | Paper Title | Repository |
|---|---|---|---|
| Transformer trained on highly filtered data | 24.37 | Impact of Corpora Quality on Neural Machine Translation | - |
| mLSTM with factored data | 20.80 | - | - |
| Attention-based Hybrid NMT combination | 14.83 | Confidence through Attention | - |
| RNN | - | Debugging Neural Machine Translations | - |
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