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--- |
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language: |
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- en |
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- de |
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- multilingual |
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license: cc-by-4.0 |
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tags: |
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- translation |
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- opus-mt-tc |
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model-index: |
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- name: opus-mt-tc-base-en-de |
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results: |
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- task: |
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type: translation |
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name: Translation eng-deu |
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dataset: |
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name: tatoeba-test-v2021-08-07 |
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type: tatoeba_mt |
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args: eng-deu |
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metrics: |
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- type: bleu |
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value: 43.7 |
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name: BLEU |
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--- |
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# Opus Tatoeba English-German |
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*This model was obtained by running the script [convert_marian_to_pytorch.py](https://github.com/huggingface/transformers/blob/master/src/transformers/models/marian/convert_marian_to_pytorch.py). The original models were trained by [J�rg Tiedemann](https://blogs.helsinki.fi/tiedeman/) using the [MarianNMT](https://marian-nmt.github.io/) library. See all available `MarianMTModel` models on the profile of the [Helsinki NLP](https://huggingface.co/Helsinki-NLP) group.* |
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* dataset: opusTCv20210807+bt |
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* model: transformer-big |
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* source language(s): eng |
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* target language(s): deu |
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* raw source language(s): eng |
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* raw target language(s): deu |
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* model: transformer-big |
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* pre-processing: normalization + SentencePiece (spm32k,spm32k) |
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* download: [opusTCv20210807+bt-2021-12-08.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-deu/opusTCv20210807+bt-2021-12-08.zip) |
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* test set translations: [opusTCv20210807+bt-2021-12-08.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-deu/opusTCv20210807+bt-2021-12-08.test.txt) |
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* test set scores: [opusTCv20210807+bt-2021-12-08.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-deu/opusTCv20210807+bt-2021-12-08.eval.txt) |
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## Benchmarks |
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| testset | BLEU | chr-F | #sent | #words | BP | |
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|---------|-------|-------|-------|--------|----| |
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| newssyscomb2009.eng-deu | 24.3 | 0.5462 | 502 | 11271 | 0.993 | |
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| news-test2008.eng-deu | 24.7 | 0.5412 | 2051 | 47427 | 1.000 | |
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| newstest2009.eng-deu | 23.6 | 0.5385 | 2525 | 62816 | 0.999 | |
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| newstest2010.eng-deu | 26.9 | 0.5589 | 2489 | 61511 | 0.966 | |
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| newstest2011.eng-deu | 24.1 | 0.5364 | 3003 | 72981 | 0.990 | |
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| newstest2012.eng-deu | 24.6 | 0.5375 | 3003 | 72886 | 0.972 | |
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| newstest2013.eng-deu | 28.3 | 0.5636 | 3000 | 63737 | 0.988 | |
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| newstest2014-deen.eng-deu | 30.9 | 0.6084 | 3003 | 62964 | 1.000 | |
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| newstest2015-ende.eng-deu | 33.2 | 0.6106 | 2169 | 44260 | 1.000 | |
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| newstest2016-ende.eng-deu | 39.8 | 0.6595 | 2999 | 62670 | 0.993 | |
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| newstest2017-ende.eng-deu | 32.0 | 0.6047 | 3004 | 61291 | 1.000 | |
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| newstest2018-ende.eng-deu | 48.8 | 0.7146 | 2998 | 64276 | 1.000 | |
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| newstest2019-ende.eng-deu | 45.0 | 0.6821 | 1997 | 48969 | 0.995 | |
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| Tatoeba-test-v2021-08-07.eng-deu | 43.7 | 0.6442 | 10000 | 85728 | 1.000 | |
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