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--- |
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language: |
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- en |
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- hi |
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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-hi |
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results: |
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- task: |
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type: translation |
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name: Translation eng-hin |
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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-hin |
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metrics: |
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- type: bleu |
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value: 22.2 |
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name: BLEU |
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--- |
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# Opus Tatoeba English-Hindi |
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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: opus+bt |
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* model: transformer-align |
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* source language(s): eng |
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* target language(s): hin |
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* model: transformer-align |
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* pre-processing: normalization + SentencePiece (spm32k,spm32k) |
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* download: [opus+bt-2021-04-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus+bt-2021-04-10.zip) |
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* test set translations: [opus+bt-2021-04-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus+bt-2021-04-10.test.txt) |
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* test set scores: [opus+bt-2021-04-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus+bt-2021-04-10.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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| newsdev2014.eng-hin | 13.9 | 0.421 | 520 | 9538 | 1.000 | |
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| newstest2014-hien.eng-hin | 17.4 | 0.442 | 2507 | 60878 | 0.989 | |
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| Tatoeba-test.eng-hin | 22.2 | 0.485 | 5000 | 32904 | 1.000 | |
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| tico19-test.eng-hin | 30.6 | 0.539 | 2100 | 62738 | 0.988 | |
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