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Neurora/opus-tatoeba-ces-eng
opus-tatoeba-ces-eng is a translation model from Neurora. Use it when you need text moved from one language to another. The card lists the license as apache-2.0.
dataset: opus model: transformer source language(s): ces target language(s): eng model: transformer pre-processing: normalization + SentencePiece (spm32k,spm32k) download: opus-2021-02-19.zip test set translations: op…
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.safetensors209 MB · 99%
From the Hugging Face model README
| testset | BLEU | chr-F | #sent | #words | BP |
|---|---|---|---|---|---|
| newssyscomb2009.ces-eng | 27.7 | 0.551 | 502 | 11821 | 0.971 |
| newstest2009.ces-eng | 27.2 | 0.550 | 2525 | 65402 | 0.970 |
| newstest2010.ces-eng | 27.3 | 0.559 | 2489 | 61724 | 0.978 |
| newstest2011.ces-eng | 28.0 | 0.557 | 3003 | 74681 | 0.990 |
| newstest2012.ces-eng | 27.2 | 0.552 | 3003 | 72812 | 1.000 |
| newstest2013.ces-eng | 30.7 | 0.572 | 3000 | 64505 | 1.000 |
| newstest2014-csen.ces-eng | 34.2 | 0.614 | 3003 | 68065 | 0.999 |
| newstest2015-encs.ces-eng | 30.7 | 0.568 | 2656 | 53572 | 0.975 |
| newstest2016-encs.ces-eng | 32.4 | 0.589 | 2999 | 64670 | 0.998 |
| newstest2017-encs.ces-eng | 28.9 | 0.559 | 3005 | 61725 | 0.996 |
| newstest2018-encs.ces-eng | 30.4 | 0.568 | 2983 | 63496 | 0.991 |
| Tatoeba-test.ces-eng | 56.9 | 0.719 | 10000 | 75376 | 0.962 |