eng-itc

  • source group: English

  • target group: Italic languages

  • OPUS readme: eng-itc

  • 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

  • test set translations: opus2m-2020-08-01.test.txt

  • test set scores: 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: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

  • port_machine: brutasse

  • port_time: 2020-08-21-14:41

Downloads last month
52
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Spaces using Helsinki-NLP/opus-mt-en-itc 7