--- language: -en -it -ca -rm -es -ro -gl -sc -co -wa -pt -oc -an -id -fr -ht -itc tags: - translation license: apache-2.0 --- ### eng-itc * source group: English * target group: Italic languages * OPUS readme: [eng-itc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-itc/README.md) * model: transformer * source language(s): eng * target language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * 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](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2016-enro-engron.eng.ron | 27.1 | 0.565 | | newsdiscussdev2015-enfr-engfra.eng.fra | 29.9 | 0.574 | | newsdiscusstest2015-enfr-engfra.eng.fra | 35.3 | 0.609 | | newssyscomb2009-engfra.eng.fra | 27.7 | 0.567 | | newssyscomb2009-engita.eng.ita | 28.6 | 0.586 | | newssyscomb2009-engspa.eng.spa | 29.8 | 0.569 | | news-test2008-engfra.eng.fra | 25.0 | 0.536 | | news-test2008-engspa.eng.spa | 27.1 | 0.548 | | newstest2009-engfra.eng.fra | 26.7 | 0.557 | | newstest2009-engita.eng.ita | 28.9 | 0.583 | | newstest2009-engspa.eng.spa | 28.9 | 0.567 | | newstest2010-engfra.eng.fra | 29.6 | 0.574 | | newstest2010-engspa.eng.spa | 33.8 | 0.598 | | newstest2011-engfra.eng.fra | 30.9 | 0.590 | | newstest2011-engspa.eng.spa | 34.8 | 0.598 | | newstest2012-engfra.eng.fra | 29.1 | 0.574 | | newstest2012-engspa.eng.spa | 34.9 | 0.600 | | newstest2013-engfra.eng.fra | 30.1 | 0.567 | | newstest2013-engspa.eng.spa | 31.8 | 0.576 | | newstest2016-enro-engron.eng.ron | 25.9 | 0.548 | | Tatoeba-test.eng-arg.eng.arg | 1.6 | 0.120 | | Tatoeba-test.eng-ast.eng.ast | 17.2 | 0.389 | | Tatoeba-test.eng-cat.eng.cat | 47.6 | 0.668 | | Tatoeba-test.eng-cos.eng.cos | 4.3 | 0.287 | | Tatoeba-test.eng-egl.eng.egl | 0.9 | 0.101 | | Tatoeba-test.eng-ext.eng.ext | 8.7 | 0.287 | | Tatoeba-test.eng-fra.eng.fra | 44.9 | 0.635 | | Tatoeba-test.eng-frm.eng.frm | 1.0 | 0.225 | | Tatoeba-test.eng-gcf.eng.gcf | 0.7 | 0.115 | | Tatoeba-test.eng-glg.eng.glg | 44.9 | 0.648 | | Tatoeba-test.eng-hat.eng.hat | 30.9 | 0.533 | | Tatoeba-test.eng-ita.eng.ita | 45.4 | 0.673 | | Tatoeba-test.eng-lad.eng.lad | 5.6 | 0.279 | | Tatoeba-test.eng-lat.eng.lat | 12.1 | 0.380 | | Tatoeba-test.eng-lij.eng.lij | 1.4 | 0.183 | | Tatoeba-test.eng-lld.eng.lld | 0.5 | 0.199 | | Tatoeba-test.eng-lmo.eng.lmo | 0.7 | 0.187 | | Tatoeba-test.eng-mfe.eng.mfe | 83.6 | 0.909 | | Tatoeba-test.eng-msa.eng.msa | 31.3 | 0.549 | | Tatoeba-test.eng.multi | 38.0 | 0.588 | | Tatoeba-test.eng-mwl.eng.mwl | 2.7 | 0.322 | | Tatoeba-test.eng-oci.eng.oci | 8.2 | 0.293 | | Tatoeba-test.eng-pap.eng.pap | 46.7 | 0.663 | | Tatoeba-test.eng-pms.eng.pms | 2.1 | 0.194 | | Tatoeba-test.eng-por.eng.por | 41.2 | 0.635 | | Tatoeba-test.eng-roh.eng.roh | 2.6 | 0.237 | | Tatoeba-test.eng-ron.eng.ron | 40.6 | 0.632 | | Tatoeba-test.eng-scn.eng.scn | 1.6 | 0.181 | | Tatoeba-test.eng-spa.eng.spa | 49.5 | 0.685 | | Tatoeba-test.eng-vec.eng.vec | 1.6 | 0.223 | | Tatoeba-test.eng-wln.eng.wln | 7.1 | 0.250 | ### System Info: - hf_name: eng-itc - source_languages: eng - target_languages: itc - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-itc/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc'] - src_constituents: {'eng'} - tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'} - src_multilingual: False - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.test.txt - src_alpha3: eng - tgt_alpha3: itc - short_pair: en-itc - chrF2_score: 0.588 - bleu: 38.0 - brevity_penalty: 0.9670000000000001 - ref_len: 73951.0 - src_name: English - tgt_name: Italic languages - train_date: 2020-08-01 - src_alpha2: en - tgt_alpha2: itc - prefer_old: False - long_pair: eng-itc - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 6bdf998dffa70030e42f512a586f33a15e648edd - port_machine: brutasse - port_time: 2020-08-19-00:09