iir-eng
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source group: Indo-Iranian languages
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target group: English
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OPUS readme: iir-eng
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model: transformer
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source language(s): asm awa ben bho gom guj hif_Latn hin jdt_Cyrl kur_Arab kur_Latn mai mar npi ori oss pan_Guru pes pes_Latn pes_Thaa pnb pus rom san_Deva sin snd_Arab tgk_Cyrl tly_Latn urd zza
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target language(s): eng
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model: transformer
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pre-processing: normalization + SentencePiece (spm32k,spm32k)
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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 |
|---|---|---|
| newsdev2014-hineng.hin.eng | 8.1 | 0.324 |
| newsdev2019-engu-gujeng.guj.eng | 8.1 | 0.309 |
| newstest2014-hien-hineng.hin.eng | 12.1 | 0.380 |
| newstest2019-guen-gujeng.guj.eng | 6.0 | 0.280 |
| Tatoeba-test.asm-eng.asm.eng | 13.9 | 0.327 |
| Tatoeba-test.awa-eng.awa.eng | 7.0 | 0.219 |
| Tatoeba-test.ben-eng.ben.eng | 42.5 | 0.576 |
| Tatoeba-test.bho-eng.bho.eng | 27.3 | 0.452 |
| Tatoeba-test.fas-eng.fas.eng | 5.6 | 0.262 |
| Tatoeba-test.guj-eng.guj.eng | 15.9 | 0.350 |
| Tatoeba-test.hif-eng.hif.eng | 10.1 | 0.247 |
| Tatoeba-test.hin-eng.hin.eng | 36.5 | 0.544 |
| Tatoeba-test.jdt-eng.jdt.eng | 11.4 | 0.094 |
| Tatoeba-test.kok-eng.kok.eng | 6.6 | 0.256 |
| Tatoeba-test.kur-eng.kur.eng | 3.4 | 0.149 |
| Tatoeba-test.lah-eng.lah.eng | 17.4 | 0.301 |
| Tatoeba-test.mai-eng.mai.eng | 65.4 | 0.703 |
| Tatoeba-test.mar-eng.mar.eng | 22.5 | 0.468 |
| Tatoeba-test.multi.eng | 21.3 | 0.424 |
| Tatoeba-test.nep-eng.nep.eng | 3.4 | 0.185 |
| Tatoeba-test.ori-eng.ori.eng | 4.8 | 0.244 |
| Tatoeba-test.oss-eng.oss.eng | 1.6 | 0.173 |
| Tatoeba-test.pan-eng.pan.eng | 14.8 | 0.348 |
| Tatoeba-test.pus-eng.pus.eng | 1.1 | 0.182 |
| Tatoeba-test.rom-eng.rom.eng | 2.8 | 0.185 |
| Tatoeba-test.san-eng.san.eng | 2.8 | 0.185 |
| Tatoeba-test.sin-eng.sin.eng | 22.8 | 0.474 |
| Tatoeba-test.snd-eng.snd.eng | 8.2 | 0.287 |
| Tatoeba-test.tgk-eng.tgk.eng | 11.9 | 0.321 |
| Tatoeba-test.tly-eng.tly.eng | 0.9 | 0.076 |
| Tatoeba-test.urd-eng.urd.eng | 23.9 | 0.438 |
| Tatoeba-test.zza-eng.zza.eng | 0.6 | 0.098 |
System Info:
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hf_name: iir-eng
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source_languages: iir
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target_languages: eng
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opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-eng/README.md
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original_repo: Tatoeba-Challenge
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tags: ['translation']
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languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir', 'en']
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src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'}
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tgt_constituents: {'eng'}
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src_multilingual: True
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tgt_multilingual: False
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prepro: normalization + SentencePiece (spm32k,spm32k)
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url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.zip
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url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.test.txt
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src_alpha3: iir
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tgt_alpha3: eng
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short_pair: iir-en
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chrF2_score: 0.424
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bleu: 21.3
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brevity_penalty: 1.0
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ref_len: 67026.0
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src_name: Indo-Iranian languages
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tgt_name: English
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train_date: 2020-08-01
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src_alpha2: iir
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tgt_alpha2: en
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prefer_old: False
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long_pair: iir-eng
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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