README.md

eng-inc

• source group: English

• target group: Indic languages

• OPUS readme: eng-inc

• model: transformer

• source language(s): eng

• target language(s): asm awa ben bho gom guj hif_Latn hin mai mar npi ori pan_Guru pnb rom san_Deva sin snd_Arab urd

• 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
newsdev2014-enghin.eng.hin	8.2	0.342
newsdev2019-engu-engguj.eng.guj	6.5	0.293
newstest2014-hien-enghin.eng.hin	11.4	0.364
newstest2019-engu-engguj.eng.guj	7.2	0.296
Tatoeba-test.eng-asm.eng.asm	2.7	0.277
Tatoeba-test.eng-awa.eng.awa	0.5	0.132
Tatoeba-test.eng-ben.eng.ben	16.7	0.470
Tatoeba-test.eng-bho.eng.bho	4.3	0.227
Tatoeba-test.eng-guj.eng.guj	17.5	0.373
Tatoeba-test.eng-hif.eng.hif	0.6	0.028
Tatoeba-test.eng-hin.eng.hin	17.7	0.469
Tatoeba-test.eng-kok.eng.kok	1.7	0.000
Tatoeba-test.eng-lah.eng.lah	0.3	0.028
Tatoeba-test.eng-mai.eng.mai	15.6	0.429
Tatoeba-test.eng-mar.eng.mar	21.3	0.477
Tatoeba-test.eng.multi	17.3	0.448
Tatoeba-test.eng-nep.eng.nep	0.8	0.081
Tatoeba-test.eng-ori.eng.ori	2.2	0.208
Tatoeba-test.eng-pan.eng.pan	8.0	0.347
Tatoeba-test.eng-rom.eng.rom	0.4	0.197
Tatoeba-test.eng-san.eng.san	0.5	0.108
Tatoeba-test.eng-sin.eng.sin	9.1	0.364
Tatoeba-test.eng-snd.eng.snd	4.4	0.284
Tatoeba-test.eng-urd.eng.urd	13.3	0.423

System Info:

• hf_name: eng-inc

• source_languages: eng

• target_languages: inc

• opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-inc/README.md

• original_repo: Tatoeba-Challenge

• tags: ['translation']

• languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc']

• src_constituents: {'eng'}

• tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}

• src_multilingual: False

• tgt_multilingual: True

• prepro: normalization + SentencePiece (spm32k,spm32k)

• url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.zip

• url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.test.txt

• src_alpha3: eng

• tgt_alpha3: inc

• short_pair: en-inc

• chrF2_score: 0.44799999999999995

• bleu: 17.3

• brevity_penalty: 1.0

• ref_len: 59917.0

• src_name: English

• tgt_name: Indic languages

• train_date: 2020-08-01

• src_alpha2: en

• tgt_alpha2: inc

• prefer_old: False

• long_pair: eng-inc

• helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• transformers_git_sha: 6bdf998dffa70030e42f512a586f33a15e648edd

• port_machine: brutasse

• port_time: 2020-08-19-00:09