Add README.md for Helsinki-NLP-opus-mt-afa-en
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Helsinki-NLP-opus-mt-afa-en/README.md
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---
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language:
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- so
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- ti
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- am
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- he
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- mt
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- ar
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- afa
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- en
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tags:
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- translation
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license: apache-2.0
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---
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### afa-eng
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* source group: Afro-Asiatic languages
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* target group: English
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* OPUS readme: [afa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-eng/README.md)
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* model: transformer
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* source language(s): acm afb amh apc ara arq ary arz hau_Latn heb kab mlt rif_Latn shy_Latn som tir
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* target language(s): eng
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* model: transformer
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* pre-processing: normalization + SentencePiece (spm32k,spm32k)
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* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.zip)
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* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.test.txt)
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* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.eval.txt)
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## Benchmarks
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| testset | BLEU | chr-F |
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|-----------------------|-------|-------|
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| Tatoeba-test.amh-eng.amh.eng | 35.9 | 0.550 |
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| Tatoeba-test.ara-eng.ara.eng | 36.6 | 0.543 |
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| Tatoeba-test.hau-eng.hau.eng | 11.9 | 0.327 |
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| Tatoeba-test.heb-eng.heb.eng | 42.7 | 0.591 |
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| Tatoeba-test.kab-eng.kab.eng | 4.3 | 0.213 |
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| Tatoeba-test.mlt-eng.mlt.eng | 44.3 | 0.618 |
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| Tatoeba-test.multi.eng | 27.1 | 0.464 |
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| Tatoeba-test.rif-eng.rif.eng | 3.5 | 0.141 |
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| Tatoeba-test.shy-eng.shy.eng | 0.6 | 0.125 |
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| Tatoeba-test.som-eng.som.eng | 23.6 | 0.472 |
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| Tatoeba-test.tir-eng.tir.eng | 13.1 | 0.328 |
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### System Info:
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- hf_name: afa-eng
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- source_languages: afa
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- target_languages: eng
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- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-eng/README.md
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- original_repo: Tatoeba-Challenge
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- tags: ['translation']
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- languages: ['so', 'ti', 'am', 'he', 'mt', 'ar', 'afa', 'en']
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- src_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}
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- tgt_constituents: {'eng'}
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- src_multilingual: True
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- tgt_multilingual: False
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- prepro: normalization + SentencePiece (spm32k,spm32k)
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- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.zip
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- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.test.txt
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- src_alpha3: afa
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- tgt_alpha3: eng
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- short_pair: afa-en
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- chrF2_score: 0.46399999999999997
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- bleu: 27.1
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- brevity_penalty: 1.0
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- ref_len: 69373.0
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- src_name: Afro-Asiatic languages
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- tgt_name: English
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- train_date: 2020-07-31
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- src_alpha2: afa
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- tgt_alpha2: en
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- prefer_old: False
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- long_pair: afa-eng
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- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
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- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
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- port_machine: brutasse
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- port_time: 2020-08-21-14:41
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