eng-gmq
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source group: English
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target group: North Germanic languages
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OPUS readme: eng-gmq
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model: transformer
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source language(s): eng
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target language(s): dan fao isl nno nob nob_Hebr non_Latn swe
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model: transformer
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pre-processing: normalization + SentencePiece (spm32k,spm32k)
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a sentence initial language token is required in the form of
>>id<<(id = valid target language ID) -
download original weights: opus2m-2020-08-01.zip
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test set translations: opus2m-2020-08-01.test.txt
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test set scores: opus2m-2020-08-01.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.eng-dan.eng.dan | 57.7 | 0.724 |
| Tatoeba-test.eng-fao.eng.fao | 9.2 | 0.322 |
| Tatoeba-test.eng-isl.eng.isl | 23.8 | 0.506 |
| Tatoeba-test.eng.multi | 52.8 | 0.688 |
| Tatoeba-test.eng-non.eng.non | 0.7 | 0.196 |
| Tatoeba-test.eng-nor.eng.nor | 50.3 | 0.678 |
| Tatoeba-test.eng-swe.eng.swe | 57.8 | 0.717 |
System Info:
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hf_name: eng-gmq
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source_languages: eng
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target_languages: gmq
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opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md
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original_repo: Tatoeba-Challenge
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tags: ['translation']
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languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']
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src_constituents: {'eng'}
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tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
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src_multilingual: False
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tgt_multilingual: True
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prepro: normalization + SentencePiece (spm32k,spm32k)
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url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip
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url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt
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src_alpha3: eng
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tgt_alpha3: gmq
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short_pair: en-gmq
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chrF2_score: 0.688
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bleu: 52.8
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brevity_penalty: 0.973
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ref_len: 71881.0
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src_name: English
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tgt_name: North Germanic languages
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train_date: 2020-08-01
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src_alpha2: en
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tgt_alpha2: gmq
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prefer_old: False
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long_pair: eng-gmq
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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
