--- language: - sn - rw - wo - ig - sg - ee - zu - lg - ts - ln - ny - yo - rn - xh - alv - en tags: - translation license: apache-2.0 --- ### alv-eng * source group: Atlantic-Congo languages * target group: English * OPUS readme: [alv-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/alv-eng/README.md) * model: transformer * source language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ewe-eng.ewe.eng | 6.3 | 0.328 | | Tatoeba-test.ful-eng.ful.eng | 0.4 | 0.108 | | Tatoeba-test.ibo-eng.ibo.eng | 4.5 | 0.196 | | Tatoeba-test.kin-eng.kin.eng | 30.7 | 0.511 | | Tatoeba-test.lin-eng.lin.eng | 2.8 | 0.213 | | Tatoeba-test.lug-eng.lug.eng | 3.4 | 0.140 | | Tatoeba-test.multi.eng | 20.9 | 0.376 | | Tatoeba-test.nya-eng.nya.eng | 38.7 | 0.492 | | Tatoeba-test.run-eng.run.eng | 24.5 | 0.417 | | Tatoeba-test.sag-eng.sag.eng | 5.5 | 0.177 | | Tatoeba-test.sna-eng.sna.eng | 26.9 | 0.412 | | Tatoeba-test.swa-eng.swa.eng | 4.9 | 0.196 | | Tatoeba-test.toi-eng.toi.eng | 3.9 | 0.147 | | Tatoeba-test.tso-eng.tso.eng | 76.7 | 0.957 | | Tatoeba-test.umb-eng.umb.eng | 4.0 | 0.195 | | Tatoeba-test.wol-eng.wol.eng | 3.7 | 0.170 | | Tatoeba-test.xho-eng.xho.eng | 38.9 | 0.556 | | Tatoeba-test.yor-eng.yor.eng | 25.1 | 0.412 | | Tatoeba-test.zul-eng.zul.eng | 46.1 | 0.623 | ### System Info: - hf_name: alv-eng - source_languages: alv - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/alv-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv', 'en'] - src_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.test.txt - src_alpha3: alv - tgt_alpha3: eng - short_pair: alv-en - chrF2_score: 0.376 - bleu: 20.9 - brevity_penalty: 1.0 - ref_len: 15208.0 - src_name: Atlantic-Congo languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: alv - tgt_alpha2: en - prefer_old: False - long_pair: alv-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41