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Helsinki-NLP/opus-mt-en-afa | 2021-01-18T08:04:43.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"so",
"ti",
"am",
"he",
"mt",
"ar",
"afa",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 25 | transformers | ---
language:
- en
- so
- ti
- am
- he
- mt
- ar
- afa
tags:
- translation
license: apache-2.0
---
### eng-afa
* source group: English
* target group: Afro-Asiatic languages
* OPUS readme: [eng-afa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-afa/README.md)
* model: transformer
* source language(s): eng
* target language(s): acm afb amh apc ara arq ary arz hau_Latn heb kab mlt rif_Latn shy_Latn som tir
* 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-afa/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-amh.eng.amh | 11.6 | 0.504 |
| Tatoeba-test.eng-ara.eng.ara | 12.0 | 0.404 |
| Tatoeba-test.eng-hau.eng.hau | 10.2 | 0.429 |
| Tatoeba-test.eng-heb.eng.heb | 32.3 | 0.551 |
| Tatoeba-test.eng-kab.eng.kab | 1.6 | 0.191 |
| Tatoeba-test.eng-mlt.eng.mlt | 17.7 | 0.551 |
| Tatoeba-test.eng.multi | 14.4 | 0.375 |
| Tatoeba-test.eng-rif.eng.rif | 1.7 | 0.103 |
| Tatoeba-test.eng-shy.eng.shy | 0.8 | 0.090 |
| Tatoeba-test.eng-som.eng.som | 16.0 | 0.429 |
| Tatoeba-test.eng-tir.eng.tir | 2.7 | 0.238 |
### System Info:
- hf_name: eng-afa
- source_languages: eng
- target_languages: afa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-afa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']
- src_constituents: {'eng'}
- tgt_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: afa
- short_pair: en-afa
- chrF2_score: 0.375
- bleu: 14.4
- brevity_penalty: 1.0
- ref_len: 58110.0
- src_name: English
- tgt_name: Afro-Asiatic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: afa
- prefer_old: False
- long_pair: eng-afa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-alv | 2021-01-18T08:04:49.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sn",
"rw",
"wo",
"ig",
"sg",
"ee",
"zu",
"lg",
"ts",
"ln",
"ny",
"yo",
"rn",
"xh",
"alv",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 58 | transformers | ---
language:
- en
- sn
- rw
- wo
- ig
- sg
- ee
- zu
- lg
- ts
- ln
- ny
- yo
- rn
- xh
- alv
tags:
- translation
license: apache-2.0
---
### eng-alv
* source group: English
* target group: Atlantic-Congo languages
* OPUS readme: [eng-alv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-alv/README.md)
* model: transformer
* source language(s): eng
* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
* 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-alv/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-ewe.eng.ewe | 4.9 | 0.212 |
| Tatoeba-test.eng-ful.eng.ful | 0.6 | 0.079 |
| Tatoeba-test.eng-ibo.eng.ibo | 3.5 | 0.255 |
| Tatoeba-test.eng-kin.eng.kin | 10.5 | 0.510 |
| Tatoeba-test.eng-lin.eng.lin | 1.1 | 0.273 |
| Tatoeba-test.eng-lug.eng.lug | 5.3 | 0.340 |
| Tatoeba-test.eng.multi | 11.4 | 0.429 |
| Tatoeba-test.eng-nya.eng.nya | 18.1 | 0.595 |
| Tatoeba-test.eng-run.eng.run | 13.9 | 0.484 |
| Tatoeba-test.eng-sag.eng.sag | 5.3 | 0.194 |
| Tatoeba-test.eng-sna.eng.sna | 26.2 | 0.623 |
| Tatoeba-test.eng-swa.eng.swa | 1.0 | 0.141 |
| Tatoeba-test.eng-toi.eng.toi | 7.0 | 0.224 |
| Tatoeba-test.eng-tso.eng.tso | 46.7 | 0.643 |
| Tatoeba-test.eng-umb.eng.umb | 7.8 | 0.359 |
| Tatoeba-test.eng-wol.eng.wol | 6.8 | 0.191 |
| Tatoeba-test.eng-xho.eng.xho | 27.1 | 0.629 |
| Tatoeba-test.eng-yor.eng.yor | 17.4 | 0.356 |
| Tatoeba-test.eng-zul.eng.zul | 34.1 | 0.729 |
### System Info:
- hf_name: eng-alv
- source_languages: eng
- target_languages: alv
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-alv/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']
- src_constituents: {'eng'}
- tgt_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: alv
- short_pair: en-alv
- chrF2_score: 0.429
- bleu: 11.4
- brevity_penalty: 1.0
- ref_len: 10603.0
- src_name: English
- tgt_name: Atlantic-Congo languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: alv
- prefer_old: False
- long_pair: eng-alv
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-ar | 2021-02-28T14:15:11.000Z | [
"pytorch",
"rust",
"marian",
"seq2seq",
"en",
"ar",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"rust_model.ot",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 1,597 | transformers | ---
language:
- en
- ar
tags:
- translation
license: apache-2.0
---
### eng-ara
* source group: English
* target group: Arabic
* OPUS readme: [eng-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ara/README.md)
* model: transformer
* source language(s): eng
* target language(s): acm afb apc apc_Latn ara ara_Latn arq arq_Latn ary arz
* 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: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.ara | 14.0 | 0.437 |
### System Info:
- hf_name: eng-ara
- source_languages: eng
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ar']
- src_constituents: {'eng'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.test.txt
- src_alpha3: eng
- tgt_alpha3: ara
- short_pair: en-ar
- chrF2_score: 0.43700000000000006
- bleu: 14.0
- brevity_penalty: 1.0
- ref_len: 58935.0
- src_name: English
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: en
- tgt_alpha2: ar
- prefer_old: False
- long_pair: eng-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-az | 2021-01-18T08:05:00.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"az",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 328 | transformers | ---
language:
- en
- az
tags:
- translation
license: apache-2.0
---
### eng-aze
* source group: English
* target group: Azerbaijani
* OPUS readme: [eng-aze](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aze/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): aze_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.aze | 18.6 | 0.477 |
### System Info:
- hf_name: eng-aze
- source_languages: eng
- target_languages: aze
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aze/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'az']
- src_constituents: {'eng'}
- tgt_constituents: {'aze_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.test.txt
- src_alpha3: eng
- tgt_alpha3: aze
- short_pair: en-az
- chrF2_score: 0.47700000000000004
- bleu: 18.6
- brevity_penalty: 1.0
- ref_len: 13012.0
- src_name: English
- tgt_name: Azerbaijani
- train_date: 2020-06-16
- src_alpha2: en
- tgt_alpha2: az
- prefer_old: False
- long_pair: eng-aze
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-bat | 2021-01-18T08:05:05.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"lt",
"lv",
"bat",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 51 | transformers | ---
language:
- en
- lt
- lv
- bat
tags:
- translation
license: apache-2.0
---
### eng-bat
* source group: English
* target group: Baltic languages
* OPUS readme: [eng-bat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bat/README.md)
* model: transformer
* source language(s): eng
* target language(s): lav lit ltg prg_Latn sgs
* 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-bat/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2017-enlv-englav.eng.lav | 24.0 | 0.546 |
| newsdev2019-enlt-englit.eng.lit | 20.9 | 0.533 |
| newstest2017-enlv-englav.eng.lav | 18.3 | 0.506 |
| newstest2019-enlt-englit.eng.lit | 13.6 | 0.466 |
| Tatoeba-test.eng-lav.eng.lav | 42.8 | 0.652 |
| Tatoeba-test.eng-lit.eng.lit | 37.1 | 0.650 |
| Tatoeba-test.eng.multi | 37.0 | 0.616 |
| Tatoeba-test.eng-prg.eng.prg | 0.5 | 0.130 |
| Tatoeba-test.eng-sgs.eng.sgs | 4.1 | 0.178 |
### System Info:
- hf_name: eng-bat
- source_languages: eng
- target_languages: bat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'lt', 'lv', 'bat']
- src_constituents: {'eng'}
- tgt_constituents: {'lit', 'lav', 'prg_Latn', 'ltg', 'sgs'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: bat
- short_pair: en-bat
- chrF2_score: 0.616
- bleu: 37.0
- brevity_penalty: 0.956
- ref_len: 26417.0
- src_name: English
- tgt_name: Baltic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: bat
- prefer_old: False
- long_pair: eng-bat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-bcl | 2021-01-18T08:05:10.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"bcl",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 82 | transformers | ---
tags:
- translation
---
### opus-mt-en-bcl
* source languages: en
* target languages: bcl
* OPUS readme: [en-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bcl/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.zip)
* test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.test.txt)
* test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.bcl | 54.3 | 0.722 |
|
Helsinki-NLP/opus-mt-en-bem | 2021-01-18T08:05:16.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"bem",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 63 | transformers | ---
tags:
- translation
---
### opus-mt-en-bem
* source languages: en
* target languages: bem
* OPUS readme: [en-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bem/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.bem | 29.7 | 0.532 |
|
Helsinki-NLP/opus-mt-en-ber | 2021-01-18T08:05:20.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ber",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 110 | transformers | ---
tags:
- translation
---
### opus-mt-en-ber
* source languages: en
* target languages: ber
* OPUS readme: [en-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ber/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ber | 29.7 | 0.544 |
|
Helsinki-NLP/opus-mt-en-bg | 2021-01-18T08:05:27.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"bg",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 627 | transformers | ---
language:
- en
- bg
tags:
- translation
license: apache-2.0
---
### eng-bul
* source group: English
* target group: Bulgarian
* OPUS readme: [eng-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bul/README.md)
* model: transformer
* source language(s): eng
* target language(s): bul bul_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: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.bul | 50.6 | 0.680 |
### System Info:
- hf_name: eng-bul
- source_languages: eng
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'bg']
- src_constituents: {'eng'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.test.txt
- src_alpha3: eng
- tgt_alpha3: bul
- short_pair: en-bg
- chrF2_score: 0.68
- bleu: 50.6
- brevity_penalty: 0.96
- ref_len: 69504.0
- src_name: English
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: en
- tgt_alpha2: bg
- prefer_old: False
- long_pair: eng-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-bi | 2021-01-18T08:05:32.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"bi",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 108 | transformers | ---
tags:
- translation
---
### opus-mt-en-bi
* source languages: en
* target languages: bi
* OPUS readme: [en-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.bi | 36.4 | 0.543 |
|
Helsinki-NLP/opus-mt-en-bnt | 2021-01-18T08:05:36.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sn",
"zu",
"rw",
"lg",
"ts",
"ln",
"ny",
"xh",
"rn",
"bnt",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 50 | transformers | ---
language:
- en
- sn
- zu
- rw
- lg
- ts
- ln
- ny
- xh
- rn
- bnt
tags:
- translation
license: apache-2.0
---
### eng-bnt
* source group: English
* target group: Bantu languages
* OPUS readme: [eng-bnt](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bnt/README.md)
* model: transformer
* source language(s): eng
* target language(s): kin lin lug nya run sna swh toi_Latn tso umb xho zul
* 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: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kin.eng.kin | 12.5 | 0.519 |
| Tatoeba-test.eng-lin.eng.lin | 1.1 | 0.277 |
| Tatoeba-test.eng-lug.eng.lug | 4.8 | 0.415 |
| Tatoeba-test.eng.multi | 12.1 | 0.449 |
| Tatoeba-test.eng-nya.eng.nya | 22.1 | 0.616 |
| Tatoeba-test.eng-run.eng.run | 13.2 | 0.492 |
| Tatoeba-test.eng-sna.eng.sna | 32.1 | 0.669 |
| Tatoeba-test.eng-swa.eng.swa | 1.7 | 0.180 |
| Tatoeba-test.eng-toi.eng.toi | 10.7 | 0.266 |
| Tatoeba-test.eng-tso.eng.tso | 26.9 | 0.631 |
| Tatoeba-test.eng-umb.eng.umb | 5.2 | 0.295 |
| Tatoeba-test.eng-xho.eng.xho | 22.6 | 0.615 |
| Tatoeba-test.eng-zul.eng.zul | 41.1 | 0.769 |
### System Info:
- hf_name: eng-bnt
- source_languages: eng
- target_languages: bnt
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bnt/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt']
- src_constituents: {'eng'}
- tgt_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi_Latn', 'umb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: bnt
- short_pair: en-bnt
- chrF2_score: 0.449
- bleu: 12.1
- brevity_penalty: 1.0
- ref_len: 9989.0
- src_name: English
- tgt_name: Bantu languages
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: bnt
- prefer_old: False
- long_pair: eng-bnt
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-bzs | 2021-01-18T08:05:42.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"bzs",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 49 | transformers | ---
tags:
- translation
---
### opus-mt-en-bzs
* source languages: en
* target languages: bzs
* OPUS readme: [en-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bzs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bzs/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bzs/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bzs/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.bzs | 43.4 | 0.612 |
|
Helsinki-NLP/opus-mt-en-ca | 2021-01-18T08:05:47.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ca",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 401 | transformers | ---
tags:
- translation
---
### opus-mt-en-ca
* source languages: en
* target languages: ca
* OPUS readme: [en-ca](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ca/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ca/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ca/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ca/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ca | 47.2 | 0.665 |
|
Helsinki-NLP/opus-mt-en-ceb | 2021-01-18T08:05:53.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ceb",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 76 | transformers | ---
tags:
- translation
---
### opus-mt-en-ceb
* source languages: en
* target languages: ceb
* OPUS readme: [en-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ceb/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ceb | 51.3 | 0.704 |
| Tatoeba.en.ceb | 31.3 | 0.600 |
|
Helsinki-NLP/opus-mt-en-cel | 2021-01-18T08:05:58.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"gd",
"ga",
"br",
"kw",
"gv",
"cy",
"cel",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 60 | transformers | ---
language:
- en
- gd
- ga
- br
- kw
- gv
- cy
- cel
tags:
- translation
license: apache-2.0
---
### eng-cel
* source group: English
* target group: Celtic languages
* OPUS readme: [eng-cel](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cel/README.md)
* model: transformer
* source language(s): eng
* target language(s): bre cor cym gla gle glv
* 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-cel/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bre.eng.bre | 11.5 | 0.338 |
| Tatoeba-test.eng-cor.eng.cor | 0.3 | 0.095 |
| Tatoeba-test.eng-cym.eng.cym | 31.0 | 0.549 |
| Tatoeba-test.eng-gla.eng.gla | 7.6 | 0.317 |
| Tatoeba-test.eng-gle.eng.gle | 35.9 | 0.582 |
| Tatoeba-test.eng-glv.eng.glv | 9.9 | 0.454 |
| Tatoeba-test.eng.multi | 18.0 | 0.342 |
### System Info:
- hf_name: eng-cel
- source_languages: eng
- target_languages: cel
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cel/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel']
- src_constituents: {'eng'}
- tgt_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: cel
- short_pair: en-cel
- chrF2_score: 0.342
- bleu: 18.0
- brevity_penalty: 0.9590000000000001
- ref_len: 45370.0
- src_name: English
- tgt_name: Celtic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: cel
- prefer_old: False
- long_pair: eng-cel
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-chk | 2021-01-18T08:06:04.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"chk",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 70 | transformers | ---
tags:
- translation
---
### opus-mt-en-chk
* source languages: en
* target languages: chk
* OPUS readme: [en-chk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-chk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-chk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-chk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-chk/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.chk | 26.1 | 0.468 |
|
Helsinki-NLP/opus-mt-en-cpf | 2021-01-18T08:06:10.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ht",
"cpf",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 57 | transformers | ---
language:
- en
- ht
- cpf
tags:
- translation
license: apache-2.0
---
### eng-cpf
* source group: English
* target group: Creoles and pidgins, French‑based
* OPUS readme: [eng-cpf](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpf/README.md)
* model: transformer
* source language(s): eng
* target language(s): gcf_Latn hat mfe
* 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: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-gcf.eng.gcf | 6.2 | 0.262 |
| Tatoeba-test.eng-hat.eng.hat | 25.7 | 0.451 |
| Tatoeba-test.eng-mfe.eng.mfe | 80.1 | 0.900 |
| Tatoeba-test.eng.multi | 15.9 | 0.354 |
### System Info:
- hf_name: eng-cpf
- source_languages: eng
- target_languages: cpf
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpf/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ht', 'cpf']
- src_constituents: {'eng'}
- tgt_constituents: {'gcf_Latn', 'hat', 'mfe'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: cpf
- short_pair: en-cpf
- chrF2_score: 0.354
- bleu: 15.9
- brevity_penalty: 1.0
- ref_len: 1012.0
- src_name: English
- tgt_name: Creoles and pidgins, French‑based
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: cpf
- prefer_old: False
- long_pair: eng-cpf
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-cpp | 2021-01-18T08:06:15.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"id",
"cpp",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 41 | transformers | ---
language:
- en
- id
- cpp
tags:
- translation
license: apache-2.0
---
### eng-cpp
* source group: English
* target group: Creoles and pidgins, Portuguese-based
* OPUS readme: [eng-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md)
* model: transformer
* source language(s): eng
* target language(s): ind max_Latn min pap tmw_Latn 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-cpp/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-msa.eng.msa | 32.6 | 0.573 |
| Tatoeba-test.eng.multi | 32.7 | 0.574 |
| Tatoeba-test.eng-pap.eng.pap | 42.5 | 0.633 |
### System Info:
- hf_name: eng-cpp
- source_languages: eng
- target_languages: cpp
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'id', 'cpp']
- src_constituents: {'eng'}
- tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: cpp
- short_pair: en-cpp
- chrF2_score: 0.574
- bleu: 32.7
- brevity_penalty: 0.996
- ref_len: 34010.0
- src_name: English
- tgt_name: Creoles and pidgins, Portuguese-based
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: cpp
- prefer_old: False
- long_pair: eng-cpp
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-crs | 2021-01-18T08:06:19.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"crs",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 69 | transformers | ---
tags:
- translation
---
### opus-mt-en-crs
* source languages: en
* target languages: crs
* OPUS readme: [en-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-crs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.crs | 45.2 | 0.617 |
|
Helsinki-NLP/opus-mt-en-cs | 2021-01-18T08:06:24.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"cs",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 494 | transformers | ---
tags:
- translation
---
### opus-mt-en-cs
* source languages: en
* target languages: cs
* OPUS readme: [en-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-cs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.en.cs | 22.8 | 0.507 |
| news-test2008.en.cs | 20.7 | 0.485 |
| newstest2009.en.cs | 21.8 | 0.500 |
| newstest2010.en.cs | 22.1 | 0.505 |
| newstest2011.en.cs | 23.2 | 0.507 |
| newstest2012.en.cs | 20.8 | 0.482 |
| newstest2013.en.cs | 24.7 | 0.514 |
| newstest2015-encs.en.cs | 24.9 | 0.527 |
| newstest2016-encs.en.cs | 26.7 | 0.540 |
| newstest2017-encs.en.cs | 22.7 | 0.503 |
| newstest2018-encs.en.cs | 22.9 | 0.504 |
| newstest2019-encs.en.cs | 24.9 | 0.518 |
| Tatoeba.en.cs | 46.1 | 0.647 |
|
Helsinki-NLP/opus-mt-en-cus | 2021-01-18T08:06:29.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"so",
"cus",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 52 | transformers | ---
language:
- en
- so
- cus
tags:
- translation
license: apache-2.0
---
### eng-cus
* source group: English
* target group: Cushitic languages
* OPUS readme: [eng-cus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cus/README.md)
* model: transformer
* source language(s): eng
* target language(s): som
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.multi | 16.0 | 0.173 |
| Tatoeba-test.eng-som.eng.som | 16.0 | 0.173 |
### System Info:
- hf_name: eng-cus
- source_languages: eng
- target_languages: cus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'so', 'cus']
- src_constituents: {'eng'}
- tgt_constituents: {'som'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: cus
- short_pair: en-cus
- chrF2_score: 0.17300000000000001
- bleu: 16.0
- brevity_penalty: 1.0
- ref_len: 3.0
- src_name: English
- tgt_name: Cushitic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: cus
- prefer_old: False
- long_pair: eng-cus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-cy | 2021-01-18T08:06:33.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"cy",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 103 | transformers | ---
tags:
- translation
---
### opus-mt-en-cy
* source languages: en
* target languages: cy
* OPUS readme: [en-cy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-cy/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.cy | 25.3 | 0.487 |
|
Helsinki-NLP/opus-mt-en-da | 2021-01-18T08:06:38.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"da",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 411 | transformers | ---
tags:
- translation
---
### opus-mt-en-da
* source languages: en
* target languages: da
* OPUS readme: [en-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-da/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.da | 60.4 | 0.745 |
|
Helsinki-NLP/opus-mt-en-de | 2021-02-24T08:30:29.000Z | [
"pytorch",
"tf",
"rust",
"marian",
"seq2seq",
"en",
"de",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"source.spm",
"target.spm",
"tf_model.h5",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 365,247 | transformers | ---
tags:
- translation
---
### opus-mt-en-de
* source languages: en
* target languages: de
* OPUS readme: [en-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.en.de | 23.5 | 0.540 |
| news-test2008.en.de | 23.5 | 0.529 |
| newstest2009.en.de | 22.3 | 0.530 |
| newstest2010.en.de | 24.9 | 0.544 |
| newstest2011.en.de | 22.5 | 0.524 |
| newstest2012.en.de | 23.0 | 0.525 |
| newstest2013.en.de | 26.9 | 0.553 |
| newstest2015-ende.en.de | 31.1 | 0.594 |
| newstest2016-ende.en.de | 37.0 | 0.636 |
| newstest2017-ende.en.de | 29.9 | 0.586 |
| newstest2018-ende.en.de | 45.2 | 0.690 |
| newstest2019-ende.en.de | 40.9 | 0.654 |
| Tatoeba.en.de | 47.3 | 0.664 |
|
Helsinki-NLP/opus-mt-en-dra | 2021-01-18T08:06:48.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ta",
"kn",
"ml",
"te",
"dra",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 163 | transformers | ---
language:
- en
- ta
- kn
- ml
- te
- dra
tags:
- translation
license: apache-2.0
---
### eng-dra
* source group: English
* target group: Dravidian languages
* OPUS readme: [eng-dra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-dra/README.md)
* model: transformer
* source language(s): eng
* target language(s): kan mal tam tel
* 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: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kan.eng.kan | 4.7 | 0.348 |
| Tatoeba-test.eng-mal.eng.mal | 13.1 | 0.515 |
| Tatoeba-test.eng.multi | 10.7 | 0.463 |
| Tatoeba-test.eng-tam.eng.tam | 9.0 | 0.444 |
| Tatoeba-test.eng-tel.eng.tel | 7.1 | 0.363 |
### System Info:
- hf_name: eng-dra
- source_languages: eng
- target_languages: dra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-dra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ta', 'kn', 'ml', 'te', 'dra']
- src_constituents: {'eng'}
- tgt_constituents: {'tam', 'kan', 'mal', 'tel'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: dra
- short_pair: en-dra
- chrF2_score: 0.46299999999999997
- bleu: 10.7
- brevity_penalty: 1.0
- ref_len: 7928.0
- src_name: English
- tgt_name: Dravidian languages
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: dra
- prefer_old: False
- long_pair: eng-dra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-ee | 2021-01-18T08:06:53.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ee",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 98 | transformers | ---
tags:
- translation
---
### opus-mt-en-ee
* source languages: en
* target languages: ee
* OPUS readme: [en-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ee/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ee | 38.2 | 0.591 |
| Tatoeba.en.ee | 6.0 | 0.347 |
|
Helsinki-NLP/opus-mt-en-efi | 2021-01-18T08:06:59.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"efi",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 72 | transformers | ---
tags:
- translation
---
### opus-mt-en-efi
* source languages: en
* target languages: efi
* OPUS readme: [en-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-efi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.efi | 38.0 | 0.568 |
|
Helsinki-NLP/opus-mt-en-el | 2021-01-18T08:07:04.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"el",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 317 | transformers | ---
tags:
- translation
---
### opus-mt-en-el
* source languages: en
* target languages: el
* OPUS readme: [en-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-el/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-el/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-el/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-el/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.el | 56.4 | 0.745 |
|
Helsinki-NLP/opus-mt-en-eo | 2021-01-18T08:07:08.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"eo",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 97 | transformers | ---
tags:
- translation
---
### opus-mt-en-eo
* source languages: en
* target languages: eo
* OPUS readme: [en-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-eo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-eo/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-eo/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-eo/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.eo | 49.5 | 0.682 |
|
Helsinki-NLP/opus-mt-en-es | 2021-01-18T08:07:13.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"es",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 10,844 | transformers | ---
language:
- en
- es
tags:
- translation
license: apache-2.0
---
### eng-spa
* source group: English
* target group: Spanish
* OPUS readme: [eng-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-spa/README.md)
* model: transformer
* source language(s): eng
* target language(s): spa
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-08-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.zip)
* test set translations: [opus-2020-08-18.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.test.txt)
* test set scores: [opus-2020-08-18.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engspa.eng.spa | 31.0 | 0.583 |
| news-test2008-engspa.eng.spa | 29.7 | 0.564 |
| newstest2009-engspa.eng.spa | 30.2 | 0.578 |
| newstest2010-engspa.eng.spa | 36.9 | 0.620 |
| newstest2011-engspa.eng.spa | 38.2 | 0.619 |
| newstest2012-engspa.eng.spa | 39.0 | 0.625 |
| newstest2013-engspa.eng.spa | 35.0 | 0.598 |
| Tatoeba-test.eng.spa | 54.9 | 0.721 |
### System Info:
- hf_name: eng-spa
- source_languages: eng
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'es']
- src_constituents: {'eng'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.test.txt
- src_alpha3: eng
- tgt_alpha3: spa
- short_pair: en-es
- chrF2_score: 0.721
- bleu: 54.9
- brevity_penalty: 0.978
- ref_len: 77311.0
- src_name: English
- tgt_name: Spanish
- train_date: 2020-08-18 00:00:00
- src_alpha2: en
- tgt_alpha2: es
- prefer_old: False
- long_pair: eng-spa
- helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82
- transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9
- port_machine: brutasse
- port_time: 2020-08-24-18:20 |
Helsinki-NLP/opus-mt-en-et | 2021-01-18T08:07:19.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"et",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 362 | transformers | ---
tags:
- translation
---
### opus-mt-en-et
* source languages: en
* target languages: et
* OPUS readme: [en-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-et/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2018-enet.en.et | 21.8 | 0.540 |
| newstest2018-enet.en.et | 23.3 | 0.556 |
| Tatoeba.en.et | 54.0 | 0.717 |
|
Helsinki-NLP/opus-mt-en-eu | 2021-01-18T08:07:25.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"eu",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 76 | transformers | ---
language:
- en
- eu
tags:
- translation
license: apache-2.0
---
### eng-eus
* source group: English
* target group: Basque
* OPUS readme: [eng-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-eus/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): eus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.eus | 31.8 | 0.590 |
### System Info:
- hf_name: eng-eus
- source_languages: eng
- target_languages: eus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-eus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'eu']
- src_constituents: {'eng'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: eus
- short_pair: en-eu
- chrF2_score: 0.59
- bleu: 31.8
- brevity_penalty: 0.9440000000000001
- ref_len: 7080.0
- src_name: English
- tgt_name: Basque
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: eu
- prefer_old: False
- long_pair: eng-eus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-euq | 2021-01-18T08:07:28.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"euq",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 43 | transformers | ---
language:
- en
- euq
tags:
- translation
license: apache-2.0
---
### eng-euq
* source group: English
* target group: Basque (family)
* OPUS readme: [eng-euq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-euq/README.md)
* model: transformer
* source language(s): eng
* target language(s): eus
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.eus | 27.9 | 0.555 |
| Tatoeba-test.eng-eus.eng.eus | 27.9 | 0.555 |
### System Info:
- hf_name: eng-euq
- source_languages: eng
- target_languages: euq
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-euq/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'euq']
- src_constituents: {'eng'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: euq
- short_pair: en-euq
- chrF2_score: 0.555
- bleu: 27.9
- brevity_penalty: 0.917
- ref_len: 7080.0
- src_name: English
- tgt_name: Basque (family)
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: euq
- prefer_old: False
- long_pair: eng-euq
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-fi | 2021-01-18T08:07:34.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"fi",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 746 | transformers | ---
tags:
- translation
---
### opus-mt-en-fi
* source languages: en
* target languages: fi
* OPUS readme: [en-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fi/README.md)
* dataset: opus+bt-news
* model: transformer
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-news-2020-03-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.zip)
* test set translations: [opus+bt-news-2020-03-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.test.txt)
* test set scores: [opus+bt-news-2020-03-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2019-enfi.en.fi | 25.7 | 0.578 |
|
Helsinki-NLP/opus-mt-en-fiu | 2021-01-18T08:07:39.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"se",
"fi",
"hu",
"et",
"fiu",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 34 | transformers | ---
language:
- en
- se
- fi
- hu
- et
- fiu
tags:
- translation
license: apache-2.0
---
### eng-fiu
* source group: English
* target group: Finno-Ugrian languages
* OPUS readme: [eng-fiu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-fiu/README.md)
* model: transformer
* source language(s): eng
* target language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* 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-fiu/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-engfin.eng.fin | 18.7 | 0.522 |
| newsdev2018-enet-engest.eng.est | 19.4 | 0.521 |
| newssyscomb2009-enghun.eng.hun | 15.5 | 0.472 |
| newstest2009-enghun.eng.hun | 15.4 | 0.468 |
| newstest2015-enfi-engfin.eng.fin | 19.9 | 0.532 |
| newstest2016-enfi-engfin.eng.fin | 21.1 | 0.544 |
| newstest2017-enfi-engfin.eng.fin | 23.8 | 0.567 |
| newstest2018-enet-engest.eng.est | 20.4 | 0.532 |
| newstest2018-enfi-engfin.eng.fin | 15.6 | 0.498 |
| newstest2019-enfi-engfin.eng.fin | 20.0 | 0.520 |
| newstestB2016-enfi-engfin.eng.fin | 17.0 | 0.512 |
| newstestB2017-enfi-engfin.eng.fin | 19.7 | 0.531 |
| Tatoeba-test.eng-chm.eng.chm | 0.9 | 0.115 |
| Tatoeba-test.eng-est.eng.est | 49.8 | 0.689 |
| Tatoeba-test.eng-fin.eng.fin | 34.7 | 0.597 |
| Tatoeba-test.eng-fkv.eng.fkv | 1.3 | 0.187 |
| Tatoeba-test.eng-hun.eng.hun | 35.2 | 0.589 |
| Tatoeba-test.eng-izh.eng.izh | 6.0 | 0.163 |
| Tatoeba-test.eng-kom.eng.kom | 3.4 | 0.012 |
| Tatoeba-test.eng-krl.eng.krl | 6.4 | 0.202 |
| Tatoeba-test.eng-liv.eng.liv | 1.6 | 0.102 |
| Tatoeba-test.eng-mdf.eng.mdf | 3.7 | 0.008 |
| Tatoeba-test.eng.multi | 35.4 | 0.590 |
| Tatoeba-test.eng-myv.eng.myv | 1.4 | 0.014 |
| Tatoeba-test.eng-sma.eng.sma | 2.6 | 0.097 |
| Tatoeba-test.eng-sme.eng.sme | 7.3 | 0.221 |
| Tatoeba-test.eng-udm.eng.udm | 1.4 | 0.079 |
### System Info:
- hf_name: eng-fiu
- source_languages: eng
- target_languages: fiu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-fiu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'se', 'fi', 'hu', 'et', 'fiu']
- src_constituents: {'eng'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: fiu
- short_pair: en-fiu
- chrF2_score: 0.59
- bleu: 35.4
- brevity_penalty: 0.9440000000000001
- ref_len: 59311.0
- src_name: English
- tgt_name: Finno-Ugrian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: fiu
- prefer_old: False
- long_pair: eng-fiu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-fj | 2021-01-18T08:07:44.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"fj",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 47 | transformers | ---
tags:
- translation
---
### opus-mt-en-fj
* source languages: en
* target languages: fj
* OPUS readme: [en-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fj/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.fj | 34.0 | 0.561 |
| Tatoeba.en.fj | 62.5 | 0.781 |
|
Helsinki-NLP/opus-mt-en-fr | 2021-01-18T08:07:49.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"fr",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 99,239 | transformers | ---
tags:
- translation
---
### opus-mt-en-fr
* source languages: en
* target languages: fr
* OPUS readme: [en-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdiscussdev2015-enfr.en.fr | 33.8 | 0.602 |
| newsdiscusstest2015-enfr.en.fr | 40.0 | 0.643 |
| newssyscomb2009.en.fr | 29.8 | 0.584 |
| news-test2008.en.fr | 27.5 | 0.554 |
| newstest2009.en.fr | 29.4 | 0.577 |
| newstest2010.en.fr | 32.7 | 0.596 |
| newstest2011.en.fr | 34.3 | 0.611 |
| newstest2012.en.fr | 31.8 | 0.592 |
| newstest2013.en.fr | 33.2 | 0.589 |
| Tatoeba.en.fr | 50.5 | 0.672 |
|
Helsinki-NLP/opus-mt-en-ga | 2021-01-18T08:07:56.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ga",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 408 | transformers | ---
language:
- en
- ga
tags:
- translation
license: apache-2.0
---
### eng-gle
* source group: English
* target group: Irish
* OPUS readme: [eng-gle](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gle/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): gle
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.gle | 37.5 | 0.593 |
### System Info:
- hf_name: eng-gle
- source_languages: eng
- target_languages: gle
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gle/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ga']
- src_constituents: {'eng'}
- tgt_constituents: {'gle'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: gle
- short_pair: en-ga
- chrF2_score: 0.593
- bleu: 37.5
- brevity_penalty: 1.0
- ref_len: 12200.0
- src_name: English
- tgt_name: Irish
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: ga
- prefer_old: False
- long_pair: eng-gle
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-gaa | 2021-01-18T08:08:01.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"gaa",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 90 | transformers | ---
tags:
- translation
---
### opus-mt-en-gaa
* source languages: en
* target languages: gaa
* OPUS readme: [en-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gaa/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gaa/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gaa/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gaa/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.gaa | 39.9 | 0.593 |
|
Helsinki-NLP/opus-mt-en-gem | 2021-01-18T08:08:05.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"da",
"sv",
"af",
"nn",
"fy",
"fo",
"de",
"nb",
"nl",
"is",
"lb",
"yi",
"gem",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 39 | transformers | ---
language:
- en
- da
- sv
- af
- nn
- fy
- fo
- de
- nb
- nl
- is
- lb
- yi
- gem
tags:
- translation
license: apache-2.0
---
### eng-gem
* source group: English
* target group: Germanic languages
* OPUS readme: [eng-gem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gem/README.md)
* model: transformer
* source language(s): eng
* target language(s): afr ang_Latn dan deu enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid
* 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-gem/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engdeu.eng.deu | 20.9 | 0.521 |
| news-test2008-engdeu.eng.deu | 21.1 | 0.511 |
| newstest2009-engdeu.eng.deu | 20.5 | 0.516 |
| newstest2010-engdeu.eng.deu | 22.5 | 0.526 |
| newstest2011-engdeu.eng.deu | 20.5 | 0.508 |
| newstest2012-engdeu.eng.deu | 20.8 | 0.507 |
| newstest2013-engdeu.eng.deu | 24.6 | 0.534 |
| newstest2015-ende-engdeu.eng.deu | 27.9 | 0.569 |
| newstest2016-ende-engdeu.eng.deu | 33.2 | 0.607 |
| newstest2017-ende-engdeu.eng.deu | 26.5 | 0.560 |
| newstest2018-ende-engdeu.eng.deu | 39.4 | 0.648 |
| newstest2019-ende-engdeu.eng.deu | 35.0 | 0.613 |
| Tatoeba-test.eng-afr.eng.afr | 56.5 | 0.745 |
| Tatoeba-test.eng-ang.eng.ang | 6.7 | 0.154 |
| Tatoeba-test.eng-dan.eng.dan | 58.0 | 0.726 |
| Tatoeba-test.eng-deu.eng.deu | 40.3 | 0.615 |
| Tatoeba-test.eng-enm.eng.enm | 1.4 | 0.215 |
| Tatoeba-test.eng-fao.eng.fao | 7.2 | 0.304 |
| Tatoeba-test.eng-frr.eng.frr | 5.5 | 0.159 |
| Tatoeba-test.eng-fry.eng.fry | 19.4 | 0.433 |
| Tatoeba-test.eng-gos.eng.gos | 1.0 | 0.182 |
| Tatoeba-test.eng-got.eng.got | 0.3 | 0.012 |
| Tatoeba-test.eng-gsw.eng.gsw | 0.9 | 0.130 |
| Tatoeba-test.eng-isl.eng.isl | 23.4 | 0.505 |
| Tatoeba-test.eng-ksh.eng.ksh | 1.1 | 0.141 |
| Tatoeba-test.eng-ltz.eng.ltz | 20.3 | 0.379 |
| Tatoeba-test.eng.multi | 46.5 | 0.641 |
| Tatoeba-test.eng-nds.eng.nds | 20.6 | 0.458 |
| Tatoeba-test.eng-nld.eng.nld | 53.4 | 0.702 |
| Tatoeba-test.eng-non.eng.non | 0.6 | 0.166 |
| Tatoeba-test.eng-nor.eng.nor | 50.3 | 0.679 |
| Tatoeba-test.eng-pdc.eng.pdc | 3.9 | 0.189 |
| Tatoeba-test.eng-sco.eng.sco | 33.0 | 0.542 |
| Tatoeba-test.eng-stq.eng.stq | 2.3 | 0.274 |
| Tatoeba-test.eng-swe.eng.swe | 57.9 | 0.719 |
| Tatoeba-test.eng-swg.eng.swg | 1.2 | 0.171 |
| Tatoeba-test.eng-yid.eng.yid | 7.2 | 0.304 |
### System Info:
- hf_name: eng-gem
- source_languages: eng
- target_languages: gem
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gem/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'lb', 'yi', 'gem']
- src_constituents: {'eng'}
- tgt_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: gem
- short_pair: en-gem
- chrF2_score: 0.6409999999999999
- bleu: 46.5
- brevity_penalty: 0.9790000000000001
- ref_len: 73328.0
- src_name: English
- tgt_name: Germanic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: gem
- prefer_old: False
- long_pair: eng-gem
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-gil | 2021-01-18T08:08:11.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"gil",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 62 | transformers | ---
tags:
- translation
---
### opus-mt-en-gil
* source languages: en
* target languages: gil
* OPUS readme: [en-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.gil | 38.8 | 0.604 |
|
Helsinki-NLP/opus-mt-en-gl | 2021-01-18T08:08:16.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"gl",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 107 | transformers | ---
tags:
- translation
---
### opus-mt-en-gl
* source languages: en
* target languages: gl
* OPUS readme: [en-gl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gl/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gl/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gl/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.gl | 36.4 | 0.572 |
|
Helsinki-NLP/opus-mt-en-gmq | 2021-01-18T08:08:21.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"da",
"nb",
"sv",
"is",
"nn",
"fo",
"gmq",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 27 | transformers | ---
language:
- en
- da
- nb
- sv
- is
- nn
- fo
- gmq
tags:
- translation
license: apache-2.0
---
### eng-gmq
* source group: English
* target group: North Germanic languages
* OPUS readme: [eng-gmq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md)
* model: transformer
* source language(s): eng
* target language(s): dan fao isl nno nob nob_Hebr non_Latn swe
* 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-gmq/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-dan.eng.dan | 57.7 | 0.724 |
| Tatoeba-test.eng-fao.eng.fao | 9.2 | 0.322 |
| Tatoeba-test.eng-isl.eng.isl | 23.8 | 0.506 |
| Tatoeba-test.eng.multi | 52.8 | 0.688 |
| Tatoeba-test.eng-non.eng.non | 0.7 | 0.196 |
| Tatoeba-test.eng-nor.eng.nor | 50.3 | 0.678 |
| Tatoeba-test.eng-swe.eng.swe | 57.8 | 0.717 |
### System Info:
- hf_name: eng-gmq
- source_languages: eng
- target_languages: gmq
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']
- src_constituents: {'eng'}
- tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: gmq
- short_pair: en-gmq
- chrF2_score: 0.688
- bleu: 52.8
- brevity_penalty: 0.973
- ref_len: 71881.0
- src_name: English
- tgt_name: North Germanic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: gmq
- prefer_old: False
- long_pair: eng-gmq
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-gmw | 2021-01-18T08:08:26.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"nl",
"lb",
"af",
"de",
"fy",
"yi",
"gmw",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 36 | transformers | ---
language:
- en
- nl
- lb
- af
- de
- fy
- yi
- gmw
tags:
- translation
license: apache-2.0
---
### eng-gmw
* source group: English
* target group: West Germanic languages
* OPUS readme: [eng-gmw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmw/README.md)
* model: transformer
* source language(s): eng
* target language(s): afr ang_Latn deu enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid
* 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-gmw/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engdeu.eng.deu | 21.4 | 0.518 |
| news-test2008-engdeu.eng.deu | 21.0 | 0.510 |
| newstest2009-engdeu.eng.deu | 20.4 | 0.513 |
| newstest2010-engdeu.eng.deu | 22.9 | 0.528 |
| newstest2011-engdeu.eng.deu | 20.5 | 0.508 |
| newstest2012-engdeu.eng.deu | 21.0 | 0.507 |
| newstest2013-engdeu.eng.deu | 24.7 | 0.533 |
| newstest2015-ende-engdeu.eng.deu | 28.2 | 0.568 |
| newstest2016-ende-engdeu.eng.deu | 33.3 | 0.605 |
| newstest2017-ende-engdeu.eng.deu | 26.5 | 0.559 |
| newstest2018-ende-engdeu.eng.deu | 39.9 | 0.649 |
| newstest2019-ende-engdeu.eng.deu | 35.9 | 0.616 |
| Tatoeba-test.eng-afr.eng.afr | 55.7 | 0.740 |
| Tatoeba-test.eng-ang.eng.ang | 6.5 | 0.164 |
| Tatoeba-test.eng-deu.eng.deu | 40.4 | 0.614 |
| Tatoeba-test.eng-enm.eng.enm | 2.3 | 0.254 |
| Tatoeba-test.eng-frr.eng.frr | 8.4 | 0.248 |
| Tatoeba-test.eng-fry.eng.fry | 17.9 | 0.424 |
| Tatoeba-test.eng-gos.eng.gos | 2.2 | 0.309 |
| Tatoeba-test.eng-gsw.eng.gsw | 1.6 | 0.186 |
| Tatoeba-test.eng-ksh.eng.ksh | 1.5 | 0.189 |
| Tatoeba-test.eng-ltz.eng.ltz | 20.2 | 0.383 |
| Tatoeba-test.eng.multi | 41.6 | 0.609 |
| Tatoeba-test.eng-nds.eng.nds | 18.9 | 0.437 |
| Tatoeba-test.eng-nld.eng.nld | 53.1 | 0.699 |
| Tatoeba-test.eng-pdc.eng.pdc | 7.7 | 0.262 |
| Tatoeba-test.eng-sco.eng.sco | 37.7 | 0.557 |
| Tatoeba-test.eng-stq.eng.stq | 5.9 | 0.380 |
| Tatoeba-test.eng-swg.eng.swg | 6.2 | 0.236 |
| Tatoeba-test.eng-yid.eng.yid | 6.8 | 0.296 |
### System Info:
- hf_name: eng-gmw
- source_languages: eng
- target_languages: gmw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'nl', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']
- src_constituents: {'eng'}
- tgt_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: gmw
- short_pair: en-gmw
- chrF2_score: 0.609
- bleu: 41.6
- brevity_penalty: 0.9890000000000001
- ref_len: 74922.0
- src_name: English
- tgt_name: West Germanic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: gmw
- prefer_old: False
- long_pair: eng-gmw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-grk | 2021-01-18T08:08:31.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"el",
"grk",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 64 | transformers | ---
language:
- en
- el
- grk
tags:
- translation
license: apache-2.0
---
### eng-grk
* source group: English
* target group: Greek languages
* OPUS readme: [eng-grk](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-grk/README.md)
* model: transformer
* source language(s): eng
* target language(s): ell grc_Grek
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* 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-grk/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-ell.eng.ell | 53.8 | 0.723 |
| Tatoeba-test.eng-grc.eng.grc | 0.1 | 0.102 |
| Tatoeba-test.eng.multi | 45.6 | 0.677 |
### System Info:
- hf_name: eng-grk
- source_languages: eng
- target_languages: grk
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-grk/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'el', 'grk']
- src_constituents: {'eng'}
- tgt_constituents: {'grc_Grek', 'ell'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: grk
- short_pair: en-grk
- chrF2_score: 0.677
- bleu: 45.6
- brevity_penalty: 1.0
- ref_len: 59951.0
- src_name: English
- tgt_name: Greek languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: grk
- prefer_old: False
- long_pair: eng-grk
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-guw | 2021-01-18T08:08:36.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"guw",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 77 | transformers | ---
tags:
- translation
---
### opus-mt-en-guw
* source languages: en
* target languages: guw
* OPUS readme: [en-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-guw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.guw | 45.7 | 0.634 |
|
Helsinki-NLP/opus-mt-en-gv | 2021-01-18T08:08:40.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"gv",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 74 | transformers | ---
tags:
- translation
---
### opus-mt-en-gv
* source languages: en
* target languages: gv
* OPUS readme: [en-gv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| bible-uedin.en.gv | 70.1 | 0.885 |
|
Helsinki-NLP/opus-mt-en-ha | 2021-01-18T08:08:46.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ha",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 76 | transformers | ---
tags:
- translation
---
### opus-mt-en-ha
* source languages: en
* target languages: ha
* OPUS readme: [en-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ha/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ha/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ha/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ha/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ha | 34.1 | 0.544 |
| Tatoeba.en.ha | 17.6 | 0.498 |
|
Helsinki-NLP/opus-mt-en-he | 2021-01-18T08:08:52.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"he",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 345 | transformers | ---
tags:
- translation
---
### opus-mt-en-he
* source languages: en
* target languages: he
* OPUS readme: [en-he](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-he/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.he | 40.1 | 0.609 |
|
Helsinki-NLP/opus-mt-en-hi | 2021-03-02T16:17:47.000Z | [
"pytorch",
"rust",
"marian",
"seq2seq",
"en",
"hi",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"rust_model.ot",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 1,009 | transformers | ---
language:
- en
- hi
tags:
- translation
license: apache-2.0
---
### eng-hin
* source group: English
* target group: Hindi
* OPUS readme: [eng-hin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hin/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): hin
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2014.eng.hin | 6.9 | 0.296 |
| newstest2014-hien.eng.hin | 9.9 | 0.323 |
| Tatoeba-test.eng.hin | 16.1 | 0.447 |
### System Info:
- hf_name: eng-hin
- source_languages: eng
- target_languages: hin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'hi']
- src_constituents: {'eng'}
- tgt_constituents: {'hin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: hin
- short_pair: en-hi
- chrF2_score: 0.447
- bleu: 16.1
- brevity_penalty: 1.0
- ref_len: 32904.0
- src_name: English
- tgt_name: Hindi
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: hi
- prefer_old: False
- long_pair: eng-hin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-hil | 2021-01-18T08:09:02.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"hil",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 60 | transformers | ---
tags:
- translation
---
### opus-mt-en-hil
* source languages: en
* target languages: hil
* OPUS readme: [en-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-hil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-hil/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hil/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hil/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.hil | 49.4 | 0.696 |
|
Helsinki-NLP/opus-mt-en-ho | 2021-01-18T08:09:06.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ho",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 55 | transformers | ---
tags:
- translation
---
### opus-mt-en-ho
* source languages: en
* target languages: ho
* OPUS readme: [en-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ho/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ho | 33.9 | 0.563 |
|
Helsinki-NLP/opus-mt-en-ht | 2021-01-18T08:09:12.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ht",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 77 | transformers | ---
tags:
- translation
---
### opus-mt-en-ht
* source languages: en
* target languages: ht
* OPUS readme: [en-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ht/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ht/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ht/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ht/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ht | 38.3 | 0.545 |
| Tatoeba.en.ht | 45.2 | 0.592 |
|
Helsinki-NLP/opus-mt-en-hu | 2021-01-18T08:09:17.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"hu",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 623 | transformers | ---
tags:
- translation
---
### opus-mt-en-hu
* source languages: en
* target languages: hu
* OPUS readme: [en-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-hu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.hu | 40.1 | 0.628 |
|
Helsinki-NLP/opus-mt-en-hy | 2021-01-18T08:09:21.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"hy",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 73 | transformers | ---
language:
- en
- hy
tags:
- translation
license: apache-2.0
---
### eng-hye
* source group: English
* target group: Armenian
* OPUS readme: [eng-hye](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hye/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): hye
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.hye | 16.6 | 0.404 |
### System Info:
- hf_name: eng-hye
- source_languages: eng
- target_languages: hye
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hye/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'hy']
- src_constituents: {'eng'}
- tgt_constituents: {'hye', 'hye_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.test.txt
- src_alpha3: eng
- tgt_alpha3: hye
- short_pair: en-hy
- chrF2_score: 0.40399999999999997
- bleu: 16.6
- brevity_penalty: 1.0
- ref_len: 5115.0
- src_name: English
- tgt_name: Armenian
- train_date: 2020-06-16
- src_alpha2: en
- tgt_alpha2: hy
- prefer_old: False
- long_pair: eng-hye
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-id | 2021-01-18T08:09:27.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"id",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 279 | transformers | ---
tags:
- translation
---
### opus-mt-en-id
* source languages: en
* target languages: id
* OPUS readme: [en-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-id/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.id | 38.3 | 0.636 |
|
Helsinki-NLP/opus-mt-en-ig | 2021-01-18T08:09:32.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ig",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 70 | transformers | ---
tags:
- translation
---
### opus-mt-en-ig
* source languages: en
* target languages: ig
* OPUS readme: [en-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ig/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ig/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ig/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ig/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ig | 39.5 | 0.546 |
| Tatoeba.en.ig | 3.8 | 0.297 |
|
Helsinki-NLP/opus-mt-en-iir | 2021-01-18T08:09:38.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"bn",
"or",
"gu",
"mr",
"ur",
"hi",
"ps",
"os",
"as",
"si",
"iir",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 24 | transformers | ---
language:
- en
- bn
- or
- gu
- mr
- ur
- hi
- ps
- os
- as
- si
- iir
tags:
- translation
license: apache-2.0
---
### eng-iir
* source group: English
* target group: Indo-Iranian languages
* OPUS readme: [eng-iir](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-iir/README.md)
* model: transformer
* source language(s): eng
* target 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
* 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-iir/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin | 6.7 | 0.326 |
| newsdev2019-engu-engguj.eng.guj | 6.0 | 0.283 |
| newstest2014-hien-enghin.eng.hin | 10.4 | 0.353 |
| newstest2019-engu-engguj.eng.guj | 6.6 | 0.282 |
| Tatoeba-test.eng-asm.eng.asm | 2.7 | 0.249 |
| Tatoeba-test.eng-awa.eng.awa | 0.4 | 0.122 |
| Tatoeba-test.eng-ben.eng.ben | 15.3 | 0.459 |
| Tatoeba-test.eng-bho.eng.bho | 3.7 | 0.161 |
| Tatoeba-test.eng-fas.eng.fas | 3.4 | 0.227 |
| Tatoeba-test.eng-guj.eng.guj | 18.5 | 0.365 |
| Tatoeba-test.eng-hif.eng.hif | 1.0 | 0.064 |
| Tatoeba-test.eng-hin.eng.hin | 17.0 | 0.461 |
| Tatoeba-test.eng-jdt.eng.jdt | 3.9 | 0.122 |
| Tatoeba-test.eng-kok.eng.kok | 5.5 | 0.059 |
| Tatoeba-test.eng-kur.eng.kur | 4.0 | 0.125 |
| Tatoeba-test.eng-lah.eng.lah | 0.3 | 0.008 |
| Tatoeba-test.eng-mai.eng.mai | 9.3 | 0.445 |
| Tatoeba-test.eng-mar.eng.mar | 20.7 | 0.473 |
| Tatoeba-test.eng.multi | 13.7 | 0.392 |
| Tatoeba-test.eng-nep.eng.nep | 0.6 | 0.060 |
| Tatoeba-test.eng-ori.eng.ori | 2.4 | 0.193 |
| Tatoeba-test.eng-oss.eng.oss | 2.1 | 0.174 |
| Tatoeba-test.eng-pan.eng.pan | 9.7 | 0.355 |
| Tatoeba-test.eng-pus.eng.pus | 1.0 | 0.126 |
| Tatoeba-test.eng-rom.eng.rom | 1.3 | 0.230 |
| Tatoeba-test.eng-san.eng.san | 1.3 | 0.101 |
| Tatoeba-test.eng-sin.eng.sin | 11.7 | 0.384 |
| Tatoeba-test.eng-snd.eng.snd | 2.8 | 0.180 |
| Tatoeba-test.eng-tgk.eng.tgk | 8.1 | 0.353 |
| Tatoeba-test.eng-tly.eng.tly | 0.5 | 0.015 |
| Tatoeba-test.eng-urd.eng.urd | 12.3 | 0.409 |
| Tatoeba-test.eng-zza.eng.zza | 0.5 | 0.025 |
### System Info:
- hf_name: eng-iir
- source_languages: eng
- target_languages: iir
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-iir/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']
- src_constituents: {'eng'}
- tgt_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'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: iir
- short_pair: en-iir
- chrF2_score: 0.392
- bleu: 13.7
- brevity_penalty: 1.0
- ref_len: 63351.0
- src_name: English
- tgt_name: Indo-Iranian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: iir
- prefer_old: False
- long_pair: eng-iir
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-ilo | 2021-01-18T08:09:43.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ilo",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 68 | transformers | ---
tags:
- translation
---
### opus-mt-en-ilo
* source languages: en
* target languages: ilo
* OPUS readme: [en-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ilo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ilo | 33.2 | 0.584 |
|
Helsinki-NLP/opus-mt-en-inc | 2021-01-18T08:09:48.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"bn",
"or",
"gu",
"mr",
"ur",
"hi",
"as",
"si",
"inc",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 27 | transformers | ---
language:
- en
- bn
- or
- gu
- mr
- ur
- hi
- as
- si
- inc
tags:
- translation
license: apache-2.0
---
### eng-inc
* source group: English
* target group: Indic languages
* OPUS readme: [eng-inc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-inc/README.md)
* 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](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/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: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-ine | 2021-01-18T08:09:54.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ca",
"es",
"os",
"ro",
"fy",
"cy",
"sc",
"is",
"yi",
"lb",
"an",
"sq",
"fr",
"ht",
"rm",
"ps",
"af",
"uk",
"sl",
"lt",
"bg",
"be",
"gd",
"si",
"br",
"mk",
"or",
"mr",
"ru",
"fo",
"co",
"oc",
"pl",
"gl",
"nb",
"bn",
"id",
"hy",
"da",
"gv",
"nl",
"pt",
"hi",
"as",
"kw",
"ga",
"sv",
"gu",
"wa",
"lv",
"el",
"it",
"hr",
"ur",
"nn",
"de",
"cs",
"ine",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 30 | transformers | ---
language:
- en
- ca
- es
- os
- ro
- fy
- cy
- sc
- is
- yi
- lb
- an
- sq
- fr
- ht
- rm
- ps
- af
- uk
- sl
- lt
- bg
- be
- gd
- si
- br
- mk
- or
- mr
- ru
- fo
- co
- oc
- pl
- gl
- nb
- bn
- id
- hy
- da
- gv
- nl
- pt
- hi
- as
- kw
- ga
- sv
- gu
- wa
- lv
- el
- it
- hr
- ur
- nn
- de
- cs
- ine
tags:
- translation
license: apache-2.0
---
### eng-ine
* source group: English
* target group: Indo-European languages
* OPUS readme: [eng-ine](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ine/README.md)
* model: transformer
* source language(s): eng
* target language(s): afr aln ang_Latn arg asm ast awa bel bel_Latn ben bho bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus san_Deva scn sco sgs sin slv snd_Arab spa sqi srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn zza
* 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-ine/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin | 6.2 | 0.317 |
| newsdev2016-enro-engron.eng.ron | 22.1 | 0.525 |
| newsdev2017-enlv-englav.eng.lav | 17.4 | 0.486 |
| newsdev2019-engu-engguj.eng.guj | 6.5 | 0.303 |
| newsdev2019-enlt-englit.eng.lit | 14.9 | 0.476 |
| newsdiscussdev2015-enfr-engfra.eng.fra | 26.4 | 0.547 |
| newsdiscusstest2015-enfr-engfra.eng.fra | 30.0 | 0.575 |
| newssyscomb2009-engces.eng.ces | 14.7 | 0.442 |
| newssyscomb2009-engdeu.eng.deu | 16.7 | 0.487 |
| newssyscomb2009-engfra.eng.fra | 24.8 | 0.547 |
| newssyscomb2009-engita.eng.ita | 25.2 | 0.562 |
| newssyscomb2009-engspa.eng.spa | 27.0 | 0.554 |
| news-test2008-engces.eng.ces | 13.0 | 0.417 |
| news-test2008-engdeu.eng.deu | 17.4 | 0.480 |
| news-test2008-engfra.eng.fra | 22.3 | 0.519 |
| news-test2008-engspa.eng.spa | 24.9 | 0.532 |
| newstest2009-engces.eng.ces | 13.6 | 0.432 |
| newstest2009-engdeu.eng.deu | 16.6 | 0.482 |
| newstest2009-engfra.eng.fra | 23.5 | 0.535 |
| newstest2009-engita.eng.ita | 25.5 | 0.561 |
| newstest2009-engspa.eng.spa | 26.3 | 0.551 |
| newstest2010-engces.eng.ces | 14.2 | 0.436 |
| newstest2010-engdeu.eng.deu | 18.3 | 0.492 |
| newstest2010-engfra.eng.fra | 25.7 | 0.550 |
| newstest2010-engspa.eng.spa | 30.5 | 0.578 |
| newstest2011-engces.eng.ces | 15.1 | 0.439 |
| newstest2011-engdeu.eng.deu | 17.1 | 0.478 |
| newstest2011-engfra.eng.fra | 28.0 | 0.569 |
| newstest2011-engspa.eng.spa | 31.9 | 0.580 |
| newstest2012-engces.eng.ces | 13.6 | 0.418 |
| newstest2012-engdeu.eng.deu | 17.0 | 0.475 |
| newstest2012-engfra.eng.fra | 26.1 | 0.553 |
| newstest2012-engrus.eng.rus | 21.4 | 0.506 |
| newstest2012-engspa.eng.spa | 31.4 | 0.577 |
| newstest2013-engces.eng.ces | 15.3 | 0.438 |
| newstest2013-engdeu.eng.deu | 20.3 | 0.501 |
| newstest2013-engfra.eng.fra | 26.0 | 0.540 |
| newstest2013-engrus.eng.rus | 16.1 | 0.449 |
| newstest2013-engspa.eng.spa | 28.6 | 0.555 |
| newstest2014-hien-enghin.eng.hin | 9.5 | 0.344 |
| newstest2015-encs-engces.eng.ces | 14.8 | 0.440 |
| newstest2015-ende-engdeu.eng.deu | 22.6 | 0.523 |
| newstest2015-enru-engrus.eng.rus | 18.8 | 0.483 |
| newstest2016-encs-engces.eng.ces | 16.8 | 0.457 |
| newstest2016-ende-engdeu.eng.deu | 26.2 | 0.555 |
| newstest2016-enro-engron.eng.ron | 21.2 | 0.510 |
| newstest2016-enru-engrus.eng.rus | 17.6 | 0.471 |
| newstest2017-encs-engces.eng.ces | 13.6 | 0.421 |
| newstest2017-ende-engdeu.eng.deu | 21.5 | 0.516 |
| newstest2017-enlv-englav.eng.lav | 13.0 | 0.452 |
| newstest2017-enru-engrus.eng.rus | 18.7 | 0.486 |
| newstest2018-encs-engces.eng.ces | 13.5 | 0.425 |
| newstest2018-ende-engdeu.eng.deu | 29.8 | 0.581 |
| newstest2018-enru-engrus.eng.rus | 16.1 | 0.472 |
| newstest2019-encs-engces.eng.ces | 14.8 | 0.435 |
| newstest2019-ende-engdeu.eng.deu | 26.6 | 0.554 |
| newstest2019-engu-engguj.eng.guj | 6.9 | 0.313 |
| newstest2019-enlt-englit.eng.lit | 10.6 | 0.429 |
| newstest2019-enru-engrus.eng.rus | 17.5 | 0.452 |
| Tatoeba-test.eng-afr.eng.afr | 52.1 | 0.708 |
| Tatoeba-test.eng-ang.eng.ang | 5.1 | 0.131 |
| Tatoeba-test.eng-arg.eng.arg | 1.2 | 0.099 |
| Tatoeba-test.eng-asm.eng.asm | 2.9 | 0.259 |
| Tatoeba-test.eng-ast.eng.ast | 14.1 | 0.408 |
| Tatoeba-test.eng-awa.eng.awa | 0.3 | 0.002 |
| Tatoeba-test.eng-bel.eng.bel | 18.1 | 0.450 |
| Tatoeba-test.eng-ben.eng.ben | 13.5 | 0.432 |
| Tatoeba-test.eng-bho.eng.bho | 0.3 | 0.003 |
| Tatoeba-test.eng-bre.eng.bre | 10.4 | 0.318 |
| Tatoeba-test.eng-bul.eng.bul | 38.7 | 0.592 |
| Tatoeba-test.eng-cat.eng.cat | 42.0 | 0.633 |
| Tatoeba-test.eng-ces.eng.ces | 32.3 | 0.546 |
| Tatoeba-test.eng-cor.eng.cor | 0.5 | 0.079 |
| Tatoeba-test.eng-cos.eng.cos | 3.1 | 0.148 |
| Tatoeba-test.eng-csb.eng.csb | 1.4 | 0.216 |
| Tatoeba-test.eng-cym.eng.cym | 22.4 | 0.470 |
| Tatoeba-test.eng-dan.eng.dan | 49.7 | 0.671 |
| Tatoeba-test.eng-deu.eng.deu | 31.7 | 0.554 |
| Tatoeba-test.eng-dsb.eng.dsb | 1.1 | 0.139 |
| Tatoeba-test.eng-egl.eng.egl | 0.9 | 0.089 |
| Tatoeba-test.eng-ell.eng.ell | 42.7 | 0.640 |
| Tatoeba-test.eng-enm.eng.enm | 3.5 | 0.259 |
| Tatoeba-test.eng-ext.eng.ext | 6.4 | 0.235 |
| Tatoeba-test.eng-fao.eng.fao | 6.6 | 0.285 |
| Tatoeba-test.eng-fas.eng.fas | 5.7 | 0.257 |
| Tatoeba-test.eng-fra.eng.fra | 38.4 | 0.595 |
| Tatoeba-test.eng-frm.eng.frm | 0.9 | 0.149 |
| Tatoeba-test.eng-frr.eng.frr | 8.4 | 0.145 |
| Tatoeba-test.eng-fry.eng.fry | 16.5 | 0.411 |
| Tatoeba-test.eng-gcf.eng.gcf | 0.6 | 0.098 |
| Tatoeba-test.eng-gla.eng.gla | 11.6 | 0.361 |
| Tatoeba-test.eng-gle.eng.gle | 32.5 | 0.546 |
| Tatoeba-test.eng-glg.eng.glg | 38.4 | 0.602 |
| Tatoeba-test.eng-glv.eng.glv | 23.1 | 0.418 |
| Tatoeba-test.eng-gos.eng.gos | 0.7 | 0.137 |
| Tatoeba-test.eng-got.eng.got | 0.2 | 0.010 |
| Tatoeba-test.eng-grc.eng.grc | 0.0 | 0.005 |
| Tatoeba-test.eng-gsw.eng.gsw | 0.9 | 0.108 |
| Tatoeba-test.eng-guj.eng.guj | 20.8 | 0.391 |
| Tatoeba-test.eng-hat.eng.hat | 34.0 | 0.537 |
| Tatoeba-test.eng-hbs.eng.hbs | 33.7 | 0.567 |
| Tatoeba-test.eng-hif.eng.hif | 2.8 | 0.269 |
| Tatoeba-test.eng-hin.eng.hin | 15.6 | 0.437 |
| Tatoeba-test.eng-hsb.eng.hsb | 5.4 | 0.320 |
| Tatoeba-test.eng-hye.eng.hye | 17.4 | 0.426 |
| Tatoeba-test.eng-isl.eng.isl | 17.4 | 0.436 |
| Tatoeba-test.eng-ita.eng.ita | 40.4 | 0.636 |
| Tatoeba-test.eng-jdt.eng.jdt | 6.4 | 0.008 |
| Tatoeba-test.eng-kok.eng.kok | 6.6 | 0.005 |
| Tatoeba-test.eng-ksh.eng.ksh | 0.8 | 0.123 |
| Tatoeba-test.eng-kur.eng.kur | 10.2 | 0.209 |
| Tatoeba-test.eng-lad.eng.lad | 0.8 | 0.163 |
| Tatoeba-test.eng-lah.eng.lah | 0.2 | 0.001 |
| Tatoeba-test.eng-lat.eng.lat | 9.4 | 0.372 |
| Tatoeba-test.eng-lav.eng.lav | 30.3 | 0.559 |
| Tatoeba-test.eng-lij.eng.lij | 1.0 | 0.130 |
| Tatoeba-test.eng-lit.eng.lit | 25.3 | 0.560 |
| Tatoeba-test.eng-lld.eng.lld | 0.4 | 0.139 |
| Tatoeba-test.eng-lmo.eng.lmo | 0.6 | 0.108 |
| Tatoeba-test.eng-ltz.eng.ltz | 18.1 | 0.388 |
| Tatoeba-test.eng-mai.eng.mai | 17.2 | 0.464 |
| Tatoeba-test.eng-mar.eng.mar | 18.0 | 0.451 |
| Tatoeba-test.eng-mfe.eng.mfe | 81.0 | 0.899 |
| Tatoeba-test.eng-mkd.eng.mkd | 37.6 | 0.587 |
| Tatoeba-test.eng-msa.eng.msa | 27.7 | 0.519 |
| Tatoeba-test.eng.multi | 32.6 | 0.539 |
| Tatoeba-test.eng-mwl.eng.mwl | 3.8 | 0.134 |
| Tatoeba-test.eng-nds.eng.nds | 14.3 | 0.401 |
| Tatoeba-test.eng-nep.eng.nep | 0.5 | 0.002 |
| Tatoeba-test.eng-nld.eng.nld | 44.0 | 0.642 |
| Tatoeba-test.eng-non.eng.non | 0.7 | 0.118 |
| Tatoeba-test.eng-nor.eng.nor | 42.7 | 0.623 |
| Tatoeba-test.eng-oci.eng.oci | 7.2 | 0.295 |
| Tatoeba-test.eng-ori.eng.ori | 2.7 | 0.257 |
| Tatoeba-test.eng-orv.eng.orv | 0.2 | 0.008 |
| Tatoeba-test.eng-oss.eng.oss | 2.9 | 0.264 |
| Tatoeba-test.eng-pan.eng.pan | 7.4 | 0.337 |
| Tatoeba-test.eng-pap.eng.pap | 48.5 | 0.656 |
| Tatoeba-test.eng-pdc.eng.pdc | 1.8 | 0.145 |
| Tatoeba-test.eng-pms.eng.pms | 0.7 | 0.136 |
| Tatoeba-test.eng-pol.eng.pol | 31.1 | 0.563 |
| Tatoeba-test.eng-por.eng.por | 37.0 | 0.605 |
| Tatoeba-test.eng-prg.eng.prg | 0.2 | 0.100 |
| Tatoeba-test.eng-pus.eng.pus | 1.0 | 0.134 |
| Tatoeba-test.eng-roh.eng.roh | 2.3 | 0.236 |
| Tatoeba-test.eng-rom.eng.rom | 7.8 | 0.340 |
| Tatoeba-test.eng-ron.eng.ron | 34.3 | 0.585 |
| Tatoeba-test.eng-rue.eng.rue | 0.2 | 0.010 |
| Tatoeba-test.eng-rus.eng.rus | 29.6 | 0.526 |
| Tatoeba-test.eng-san.eng.san | 2.4 | 0.125 |
| Tatoeba-test.eng-scn.eng.scn | 1.6 | 0.079 |
| Tatoeba-test.eng-sco.eng.sco | 33.6 | 0.562 |
| Tatoeba-test.eng-sgs.eng.sgs | 3.4 | 0.114 |
| Tatoeba-test.eng-sin.eng.sin | 9.2 | 0.349 |
| Tatoeba-test.eng-slv.eng.slv | 15.6 | 0.334 |
| Tatoeba-test.eng-snd.eng.snd | 9.1 | 0.324 |
| Tatoeba-test.eng-spa.eng.spa | 43.4 | 0.645 |
| Tatoeba-test.eng-sqi.eng.sqi | 39.0 | 0.621 |
| Tatoeba-test.eng-stq.eng.stq | 10.8 | 0.373 |
| Tatoeba-test.eng-swe.eng.swe | 49.9 | 0.663 |
| Tatoeba-test.eng-swg.eng.swg | 0.7 | 0.137 |
| Tatoeba-test.eng-tgk.eng.tgk | 6.4 | 0.346 |
| Tatoeba-test.eng-tly.eng.tly | 0.5 | 0.055 |
| Tatoeba-test.eng-ukr.eng.ukr | 31.4 | 0.536 |
| Tatoeba-test.eng-urd.eng.urd | 11.1 | 0.389 |
| Tatoeba-test.eng-vec.eng.vec | 1.3 | 0.110 |
| Tatoeba-test.eng-wln.eng.wln | 6.8 | 0.233 |
| Tatoeba-test.eng-yid.eng.yid | 5.8 | 0.295 |
| Tatoeba-test.eng-zza.eng.zza | 0.8 | 0.086 |
### System Info:
- hf_name: eng-ine
- source_languages: eng
- target_languages: ine
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ine/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']
- src_constituents: {'eng'}
- tgt_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos_Latn', 'lad_Latn', 'lat_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm_Latn', 'srd', 'gcf_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur_Latn', 'arg', 'pes_Thaa', 'sqi', 'csb_Latn', 'fra', 'hat', 'non_Latn', 'sco', 'pnb', 'roh', 'bul_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw_Latn', 'hsb', 'tly_Latn', 'bul', 'bel', 'got_Goth', 'lat_Grek', 'ext', 'gla', 'mai', 'sin', 'hif_Latn', 'eng', 'bre', 'nob_Hebr', 'prg_Latn', 'ang_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr_Arab', 'san_Deva', 'gos', 'rus', 'fao', 'orv_Cyrl', 'bel_Latn', 'cos', 'zza', 'grc_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk_Cyrl', 'hye_Latn', 'pdc', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp_Latn', 'zlm_Latn', 'ind', 'rom', 'hye', 'scn', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus_Latn', 'jdt_Cyrl', 'gsw', 'glv', 'nld', 'snd_Arab', 'kur_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm_Latn', 'ksh', 'pan_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld_Latn', 'ces', 'egl', 'vec', 'max_Latn', 'pes_Latn', 'ltg', 'nds'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: ine
- short_pair: en-ine
- chrF2_score: 0.539
- bleu: 32.6
- brevity_penalty: 0.973
- ref_len: 68664.0
- src_name: English
- tgt_name: Indo-European languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: ine
- prefer_old: False
- long_pair: eng-ine
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-is | 2021-01-18T08:09:59.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"is",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 167 | transformers | ---
tags:
- translation
---
### opus-mt-en-is
* source languages: en
* target languages: is
* OPUS readme: [en-is](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-is/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-is/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-is/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-is/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.is | 25.3 | 0.518 |
|
Helsinki-NLP/opus-mt-en-iso | 2021-01-18T08:10:05.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"iso",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 58 | transformers | ---
tags:
- translation
---
### opus-mt-en-iso
* source languages: en
* target languages: iso
* OPUS readme: [en-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-iso/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-iso/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-iso/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-iso/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.iso | 35.7 | 0.523 |
|
Helsinki-NLP/opus-mt-en-it | 2021-01-18T08:10:10.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"it",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 3,996 | transformers | ---
tags:
- translation
---
### opus-mt-en-it
* source languages: en
* target languages: it
* OPUS readme: [en-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-it/README.md)
* dataset: opus
* model: transformer
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-04.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-it/opus-2019-12-04.zip)
* test set translations: [opus-2019-12-04.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-it/opus-2019-12-04.test.txt)
* test set scores: [opus-2019-12-04.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-it/opus-2019-12-04.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.en.it | 30.9 | 0.606 |
| newstest2009.en.it | 31.9 | 0.604 |
| Tatoeba.en.it | 48.2 | 0.695 |
|
Helsinki-NLP/opus-mt-en-itc | 2021-01-18T08:10:20.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"it",
"ca",
"rm",
"es",
"ro",
"gl",
"sc",
"co",
"wa",
"pt",
"oc",
"an",
"id",
"fr",
"ht",
"itc",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 22 | transformers | ---
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: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-jap | 2021-01-18T08:10:27.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"jap",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 615 | transformers | ---
tags:
- translation
---
### opus-mt-en-jap
* source languages: en
* target languages: jap
* OPUS readme: [en-jap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-jap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| bible-uedin.en.jap | 42.1 | 0.960 |
|
Helsinki-NLP/opus-mt-en-kg | 2021-01-18T08:10:34.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"kg",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 60 | transformers | ---
tags:
- translation
---
### opus-mt-en-kg
* source languages: en
* target languages: kg
* OPUS readme: [en-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.kg | 39.6 | 0.613 |
|
Helsinki-NLP/opus-mt-en-kj | 2021-01-18T08:10:41.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"kj",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 64 | transformers | ---
tags:
- translation
---
### opus-mt-en-kj
* source languages: en
* target languages: kj
* OPUS readme: [en-kj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kj/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kj/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kj/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kj/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.kj | 29.6 | 0.539 |
|
Helsinki-NLP/opus-mt-en-kqn | 2021-01-18T08:10:47.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"kqn",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 59 | transformers | ---
tags:
- translation
---
### opus-mt-en-kqn
* source languages: en
* target languages: kqn
* OPUS readme: [en-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kqn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.kqn | 33.1 | 0.567 |
|
Helsinki-NLP/opus-mt-en-kwn | 2021-01-18T08:10:54.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"kwn",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 71 | transformers | ---
tags:
- translation
---
### opus-mt-en-kwn
* source languages: en
* target languages: kwn
* OPUS readme: [en-kwn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kwn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.kwn | 27.6 | 0.513 |
|
Helsinki-NLP/opus-mt-en-kwy | 2021-01-18T08:11:01.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"kwy",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 59 | transformers | ---
tags:
- translation
---
### opus-mt-en-kwy
* source languages: en
* target languages: kwy
* OPUS readme: [en-kwy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kwy/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kwy/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwy/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwy/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.kwy | 33.6 | 0.543 |
|
Helsinki-NLP/opus-mt-en-lg | 2021-01-18T08:11:08.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"lg",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 103 | transformers | ---
tags:
- translation
---
### opus-mt-en-lg
* source languages: en
* target languages: lg
* OPUS readme: [en-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lg | 30.4 | 0.543 |
| Tatoeba.en.lg | 5.7 | 0.386 |
|
Helsinki-NLP/opus-mt-en-ln | 2021-01-18T08:11:14.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ln",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 62 | transformers | ---
tags:
- translation
---
### opus-mt-en-ln
* source languages: en
* target languages: ln
* OPUS readme: [en-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ln/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ln | 36.7 | 0.588 |
|
Helsinki-NLP/opus-mt-en-loz | 2021-01-18T08:11:21.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"loz",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 41 | transformers | ---
tags:
- translation
---
### opus-mt-en-loz
* source languages: en
* target languages: loz
* OPUS readme: [en-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-loz/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.loz | 40.1 | 0.596 |
|
Helsinki-NLP/opus-mt-en-lu | 2021-01-18T08:11:27.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"lu",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 56 | transformers | ---
tags:
- translation
---
### opus-mt-en-lu
* source languages: en
* target languages: lu
* OPUS readme: [en-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lu/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lu/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lu/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lu | 34.1 | 0.564 |
|
Helsinki-NLP/opus-mt-en-lua | 2021-01-18T08:11:34.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"lua",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 54 | transformers | ---
tags:
- translation
---
### opus-mt-en-lua
* source languages: en
* target languages: lua
* OPUS readme: [en-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lua/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lua/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lua/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lua/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lua | 35.3 | 0.578 |
|
Helsinki-NLP/opus-mt-en-lue | 2021-01-18T08:11:41.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"lue",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 57 | transformers | ---
tags:
- translation
---
### opus-mt-en-lue
* source languages: en
* target languages: lue
* OPUS readme: [en-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lue/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lue | 30.1 | 0.558 |
|
Helsinki-NLP/opus-mt-en-lun | 2021-01-18T08:11:47.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"lun",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 50 | transformers | ---
tags:
- translation
---
### opus-mt-en-lun
* source languages: en
* target languages: lun
* OPUS readme: [en-lun](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lun/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lun/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lun/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lun/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lun | 28.9 | 0.552 |
|
Helsinki-NLP/opus-mt-en-luo | 2021-01-18T08:11:53.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"luo",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 55 | transformers | ---
tags:
- translation
---
### opus-mt-en-luo
* source languages: en
* target languages: luo
* OPUS readme: [en-luo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-luo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-luo/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-luo/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-luo/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.luo | 27.6 | 0.495 |
|
Helsinki-NLP/opus-mt-en-lus | 2021-01-18T08:12:02.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"lus",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 152 | transformers | ---
tags:
- translation
---
### opus-mt-en-lus
* source languages: en
* target languages: lus
* OPUS readme: [en-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lus/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lus | 36.8 | 0.581 |
|
Helsinki-NLP/opus-mt-en-map | 2021-01-18T08:12:08.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"map",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 42 | transformers | ---
language:
- en
- map
tags:
- translation
license: apache-2.0
---
### eng-map
* source group: English
* target group: Austronesian languages
* OPUS readme: [eng-map](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-map/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war 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: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl | 2.2 | 0.103 |
| Tatoeba-test.eng-ceb.eng.ceb | 10.7 | 0.425 |
| Tatoeba-test.eng-cha.eng.cha | 3.2 | 0.201 |
| Tatoeba-test.eng-dtp.eng.dtp | 0.5 | 0.120 |
| Tatoeba-test.eng-fij.eng.fij | 26.8 | 0.453 |
| Tatoeba-test.eng-gil.eng.gil | 59.3 | 0.762 |
| Tatoeba-test.eng-haw.eng.haw | 1.0 | 0.116 |
| Tatoeba-test.eng-hil.eng.hil | 19.0 | 0.517 |
| Tatoeba-test.eng-iba.eng.iba | 15.5 | 0.400 |
| Tatoeba-test.eng-ilo.eng.ilo | 33.6 | 0.591 |
| Tatoeba-test.eng-jav.eng.jav | 7.8 | 0.301 |
| Tatoeba-test.eng-lkt.eng.lkt | 1.0 | 0.064 |
| Tatoeba-test.eng-mad.eng.mad | 1.1 | 0.142 |
| Tatoeba-test.eng-mah.eng.mah | 9.1 | 0.374 |
| Tatoeba-test.eng-mlg.eng.mlg | 35.4 | 0.526 |
| Tatoeba-test.eng-mri.eng.mri | 7.6 | 0.309 |
| Tatoeba-test.eng-msa.eng.msa | 31.1 | 0.565 |
| Tatoeba-test.eng.multi | 17.6 | 0.411 |
| Tatoeba-test.eng-nau.eng.nau | 1.4 | 0.098 |
| Tatoeba-test.eng-niu.eng.niu | 40.1 | 0.560 |
| Tatoeba-test.eng-pag.eng.pag | 16.8 | 0.526 |
| Tatoeba-test.eng-pau.eng.pau | 1.9 | 0.139 |
| Tatoeba-test.eng-rap.eng.rap | 2.7 | 0.090 |
| Tatoeba-test.eng-smo.eng.smo | 24.9 | 0.453 |
| Tatoeba-test.eng-sun.eng.sun | 33.2 | 0.439 |
| Tatoeba-test.eng-tah.eng.tah | 12.5 | 0.278 |
| Tatoeba-test.eng-tet.eng.tet | 1.6 | 0.140 |
| Tatoeba-test.eng-ton.eng.ton | 25.8 | 0.530 |
| Tatoeba-test.eng-tvl.eng.tvl | 31.1 | 0.523 |
| Tatoeba-test.eng-war.eng.war | 12.8 | 0.436 |
### System Info:
- hf_name: eng-map
- source_languages: eng
- target_languages: map
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-map/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'map']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: map
- short_pair: en-map
- chrF2_score: 0.41100000000000003
- bleu: 17.6
- brevity_penalty: 1.0
- ref_len: 66963.0
- src_name: English
- tgt_name: Austronesian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: map
- prefer_old: False
- long_pair: eng-map
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-mfe | 2021-01-18T08:12:14.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"mfe",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 55 | transformers | ---
tags:
- translation
---
### opus-mt-en-mfe
* source languages: en
* target languages: mfe
* OPUS readme: [en-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mfe/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.mfe | 32.1 | 0.509 |
|
Helsinki-NLP/opus-mt-en-mg | 2021-01-18T08:12:19.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"mg",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 69 | transformers | ---
tags:
- translation
---
### opus-mt-en-mg
* source languages: en
* target languages: mg
* OPUS readme: [en-mg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mg/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.en.mg | 22.3 | 0.565 |
| Tatoeba.en.mg | 35.5 | 0.548 |
|
Helsinki-NLP/opus-mt-en-mh | 2021-01-18T08:12:26.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"mh",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 65 | transformers | ---
tags:
- translation
---
### opus-mt-en-mh
* source languages: en
* target languages: mh
* OPUS readme: [en-mh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mh/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mh/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mh/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.mh | 29.7 | 0.479 |
|
Helsinki-NLP/opus-mt-en-mk | 2021-01-18T08:12:32.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"mk",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 348 | transformers | ---
tags:
- translation
---
### opus-mt-en-mk
* source languages: en
* target languages: mk
* OPUS readme: [en-mk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mk/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mk/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mk/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.mk | 52.1 | 0.683 |
|
Helsinki-NLP/opus-mt-en-mkh | 2021-01-18T08:12:39.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"vi",
"km",
"mkh",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 43 | transformers | ---
language:
- en
- vi
- km
- mkh
tags:
- translation
license: apache-2.0
---
### eng-mkh
* source group: English
* target group: Mon-Khmer languages
* OPUS readme: [eng-mkh](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mkh/README.md)
* model: transformer
* source language(s): eng
* target language(s): kha khm khm_Latn mnw vie vie_Hani
* 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: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kha.eng.kha | 0.1 | 0.015 |
| Tatoeba-test.eng-khm.eng.khm | 0.2 | 0.226 |
| Tatoeba-test.eng-mnw.eng.mnw | 0.7 | 0.003 |
| Tatoeba-test.eng.multi | 16.5 | 0.330 |
| Tatoeba-test.eng-vie.eng.vie | 33.7 | 0.513 |
### System Info:
- hf_name: eng-mkh
- source_languages: eng
- target_languages: mkh
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mkh/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'vi', 'km', 'mkh']
- src_constituents: {'eng'}
- tgt_constituents: {'vie_Hani', 'mnw', 'vie', 'kha', 'khm_Latn', 'khm'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: mkh
- short_pair: en-mkh
- chrF2_score: 0.33
- bleu: 16.5
- brevity_penalty: 1.0
- ref_len: 34734.0
- src_name: English
- tgt_name: Mon-Khmer languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: mkh
- prefer_old: False
- long_pair: eng-mkh
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-ml | 2021-01-18T08:12:46.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ml",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 132 | transformers | ---
tags:
- translation
---
### opus-mt-en-ml
* source languages: en
* target languages: ml
* OPUS readme: [en-ml](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ml/README.md)
* dataset: opus+bt+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt+bt-2020-04-28.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ml/opus+bt+bt-2020-04-28.zip)
* test set translations: [opus+bt+bt-2020-04-28.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ml/opus+bt+bt-2020-04-28.test.txt)
* test set scores: [opus+bt+bt-2020-04-28.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ml/opus+bt+bt-2020-04-28.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ml | 19.1 | 0.536 |
|
Helsinki-NLP/opus-mt-en-mos | 2021-01-18T08:12:52.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"mos",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 60 | transformers | ---
tags:
- translation
---
### opus-mt-en-mos
* source languages: en
* target languages: mos
* OPUS readme: [en-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mos/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mos/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mos/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mos/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.mos | 26.9 | 0.417 |
|
Helsinki-NLP/opus-mt-en-mr | 2021-01-18T08:12:58.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"mr",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 119 | transformers | ---
tags:
- translation
---
### opus-mt-en-mr
* source languages: en
* target languages: mr
* OPUS readme: [en-mr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mr/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mr/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mr/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.mr | 22.0 | 0.397 |
|
Helsinki-NLP/opus-mt-en-mt | 2021-01-18T08:13:04.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"mt",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 68 | transformers | ---
tags:
- translation
---
### opus-mt-en-mt
* source languages: en
* target languages: mt
* OPUS readme: [en-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mt/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mt/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mt/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mt/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.mt | 47.5 | 0.640 |
| Tatoeba.en.mt | 25.0 | 0.620 |
|
Helsinki-NLP/opus-mt-en-mul | 2021-01-18T08:13:09.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ca",
"es",
"os",
"eo",
"ro",
"fy",
"cy",
"is",
"lb",
"su",
"an",
"sq",
"fr",
"ht",
"rm",
"cv",
"ig",
"am",
"eu",
"tr",
"ps",
"af",
"ny",
"ch",
"uk",
"sl",
"lt",
"tk",
"sg",
"ar",
"lg",
"bg",
"be",
"ka",
"gd",
"ja",
"si",
"br",
"mh",
"km",
"th",
"ty",
"rw",
"te",
"mk",
"or",
"wo",
"kl",
"mr",
"ru",
"yo",
"hu",
"fo",
"zh",
"ti",
"co",
"ee",
"oc",
"sn",
"mt",
"ts",
"pl",
"gl",
"nb",
"bn",
"tt",
"bo",
"lo",
"id",
"gn",
"nv",
"hy",
"kn",
"to",
"io",
"so",
"vi",
"da",
"fj",
"gv",
"sm",
"nl",
"mi",
"pt",
"hi",
"se",
"as",
"ta",
"et",
"kw",
"ga",
"sv",
"ln",
"na",
"mn",
"gu",
"wa",
"lv",
"jv",
"el",
"my",
"ba",
"it",
"hr",
"ur",
"ce",
"nn",
"fi",
"mg",
"rn",
"xh",
"ab",
"de",
"cs",
"he",
"zu",
"yi",
"ml",
"mul",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 399 | transformers | ---
language:
- en
- ca
- es
- os
- eo
- ro
- fy
- cy
- is
- lb
- su
- an
- sq
- fr
- ht
- rm
- cv
- ig
- am
- eu
- tr
- ps
- af
- ny
- ch
- uk
- sl
- lt
- tk
- sg
- ar
- lg
- bg
- be
- ka
- gd
- ja
- si
- br
- mh
- km
- th
- ty
- rw
- te
- mk
- or
- wo
- kl
- mr
- ru
- yo
- hu
- fo
- zh
- ti
- co
- ee
- oc
- sn
- mt
- ts
- pl
- gl
- nb
- bn
- tt
- bo
- lo
- id
- gn
- nv
- hy
- kn
- to
- io
- so
- vi
- da
- fj
- gv
- sm
- nl
- mi
- pt
- hi
- se
- as
- ta
- et
- kw
- ga
- sv
- ln
- na
- mn
- gu
- wa
- lv
- jv
- el
- my
- ba
- it
- hr
- ur
- ce
- nn
- fi
- mg
- rn
- xh
- ab
- de
- cs
- he
- zu
- yi
- ml
- mul
tags:
- translation
license: apache-2.0
---
### eng-mul
* source group: English
* target group: Multiple languages
* OPUS readme: [eng-mul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mul/README.md)
* model: transformer
* source language(s): eng
* target language(s): abk acm ady afb afh_Latn afr akl_Latn aln amh ang_Latn apc ara arg arq ary arz asm ast avk_Latn awa aze_Latn bak bam_Latn bel bel_Latn ben bho bod bos_Latn bre brx brx_Latn bul bul_Latn cat ceb ces cha che chr chv cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant cor cos crh crh_Latn csb_Latn cym dan deu dsb dtp dws_Latn egl ell enm_Latn epo est eus ewe ext fao fij fin fkv_Latn fra frm_Latn frr fry fuc fuv gan gcf_Latn gil gla gle glg glv gom gos got_Goth grc_Grek grn gsw guj hat hau_Latn haw heb hif_Latn hil hin hnj_Latn hoc hoc_Latn hrv hsb hun hye iba ibo ido ido_Latn ike_Latn ile_Latn ilo ina_Latn ind isl ita izh jav jav_Java jbo jbo_Cyrl jbo_Latn jdt_Cyrl jpn kab kal kan kat kaz_Cyrl kaz_Latn kek_Latn kha khm khm_Latn kin kir_Cyrl kjh kpv krl ksh kum kur_Arab kur_Latn lad lad_Latn lao lat_Latn lav ldn_Latn lfn_Cyrl lfn_Latn lij lin lit liv_Latn lkt lld_Latn lmo ltg ltz lug lzh lzh_Hans mad mah mai mal mar max_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob_Hebr nog non_Latn nov_Latn npi nya oci ori orv_Cyrl oss ota_Arab ota_Latn pag pan_Guru pap pau pdc pes pes_Latn pes_Thaa pms pnb pol por ppl_Latn prg_Latn pus quc qya qya_Latn rap rif_Latn roh rom ron rue run rus sag sah san_Deva scn sco sgs shs_Latn shy_Latn sin sjn_Latn slv sma sme smo sna snd_Arab som spa sqi srp_Cyrl srp_Latn stq sun swe swg swh tah tam tat tat_Arab tat_Latn tel tet tgk_Cyrl tha tir tlh_Latn tly_Latn tmw_Latn toi_Latn ton tpw_Latn tso tuk tuk_Latn tur tvl tyv tzl tzl_Latn udm uig_Arab uig_Cyrl ukr umb urd uzb_Cyrl uzb_Latn vec vie vie_Hani vol_Latn vro war wln wol wuu xal xho yid yor yue yue_Hans yue_Hant zho zho_Hans zho_Hant zlm_Latn zsm_Latn zul zza
* 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-mul/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin | 5.0 | 0.288 |
| newsdev2015-enfi-engfin.eng.fin | 9.3 | 0.418 |
| newsdev2016-enro-engron.eng.ron | 17.2 | 0.488 |
| newsdev2016-entr-engtur.eng.tur | 8.2 | 0.402 |
| newsdev2017-enlv-englav.eng.lav | 12.9 | 0.444 |
| newsdev2017-enzh-engzho.eng.zho | 17.6 | 0.170 |
| newsdev2018-enet-engest.eng.est | 10.9 | 0.423 |
| newsdev2019-engu-engguj.eng.guj | 5.2 | 0.284 |
| newsdev2019-enlt-englit.eng.lit | 11.0 | 0.431 |
| newsdiscussdev2015-enfr-engfra.eng.fra | 22.6 | 0.521 |
| newsdiscusstest2015-enfr-engfra.eng.fra | 25.9 | 0.546 |
| newssyscomb2009-engces.eng.ces | 10.3 | 0.394 |
| newssyscomb2009-engdeu.eng.deu | 13.3 | 0.459 |
| newssyscomb2009-engfra.eng.fra | 21.5 | 0.522 |
| newssyscomb2009-enghun.eng.hun | 8.1 | 0.371 |
| newssyscomb2009-engita.eng.ita | 22.1 | 0.540 |
| newssyscomb2009-engspa.eng.spa | 23.8 | 0.531 |
| news-test2008-engces.eng.ces | 9.0 | 0.376 |
| news-test2008-engdeu.eng.deu | 14.2 | 0.451 |
| news-test2008-engfra.eng.fra | 19.8 | 0.500 |
| news-test2008-engspa.eng.spa | 22.8 | 0.518 |
| newstest2009-engces.eng.ces | 9.8 | 0.392 |
| newstest2009-engdeu.eng.deu | 13.7 | 0.454 |
| newstest2009-engfra.eng.fra | 20.7 | 0.514 |
| newstest2009-enghun.eng.hun | 8.4 | 0.370 |
| newstest2009-engita.eng.ita | 22.4 | 0.538 |
| newstest2009-engspa.eng.spa | 23.5 | 0.532 |
| newstest2010-engces.eng.ces | 10.0 | 0.393 |
| newstest2010-engdeu.eng.deu | 15.2 | 0.463 |
| newstest2010-engfra.eng.fra | 22.0 | 0.524 |
| newstest2010-engspa.eng.spa | 27.2 | 0.556 |
| newstest2011-engces.eng.ces | 10.8 | 0.392 |
| newstest2011-engdeu.eng.deu | 14.2 | 0.449 |
| newstest2011-engfra.eng.fra | 24.3 | 0.544 |
| newstest2011-engspa.eng.spa | 28.3 | 0.559 |
| newstest2012-engces.eng.ces | 9.9 | 0.377 |
| newstest2012-engdeu.eng.deu | 14.3 | 0.449 |
| newstest2012-engfra.eng.fra | 23.2 | 0.530 |
| newstest2012-engrus.eng.rus | 16.0 | 0.463 |
| newstest2012-engspa.eng.spa | 27.8 | 0.555 |
| newstest2013-engces.eng.ces | 11.0 | 0.392 |
| newstest2013-engdeu.eng.deu | 16.4 | 0.469 |
| newstest2013-engfra.eng.fra | 22.6 | 0.515 |
| newstest2013-engrus.eng.rus | 12.1 | 0.414 |
| newstest2013-engspa.eng.spa | 24.9 | 0.532 |
| newstest2014-hien-enghin.eng.hin | 7.2 | 0.311 |
| newstest2015-encs-engces.eng.ces | 10.9 | 0.396 |
| newstest2015-ende-engdeu.eng.deu | 18.3 | 0.490 |
| newstest2015-enfi-engfin.eng.fin | 10.1 | 0.421 |
| newstest2015-enru-engrus.eng.rus | 14.5 | 0.445 |
| newstest2016-encs-engces.eng.ces | 12.2 | 0.408 |
| newstest2016-ende-engdeu.eng.deu | 21.4 | 0.517 |
| newstest2016-enfi-engfin.eng.fin | 11.2 | 0.435 |
| newstest2016-enro-engron.eng.ron | 16.6 | 0.472 |
| newstest2016-enru-engrus.eng.rus | 13.4 | 0.435 |
| newstest2016-entr-engtur.eng.tur | 8.1 | 0.385 |
| newstest2017-encs-engces.eng.ces | 9.6 | 0.377 |
| newstest2017-ende-engdeu.eng.deu | 17.9 | 0.482 |
| newstest2017-enfi-engfin.eng.fin | 11.8 | 0.440 |
| newstest2017-enlv-englav.eng.lav | 9.6 | 0.412 |
| newstest2017-enru-engrus.eng.rus | 14.1 | 0.446 |
| newstest2017-entr-engtur.eng.tur | 8.0 | 0.378 |
| newstest2017-enzh-engzho.eng.zho | 16.8 | 0.175 |
| newstest2018-encs-engces.eng.ces | 9.8 | 0.380 |
| newstest2018-ende-engdeu.eng.deu | 23.8 | 0.536 |
| newstest2018-enet-engest.eng.est | 11.8 | 0.433 |
| newstest2018-enfi-engfin.eng.fin | 7.8 | 0.398 |
| newstest2018-enru-engrus.eng.rus | 12.2 | 0.434 |
| newstest2018-entr-engtur.eng.tur | 7.5 | 0.383 |
| newstest2018-enzh-engzho.eng.zho | 18.3 | 0.179 |
| newstest2019-encs-engces.eng.ces | 10.7 | 0.389 |
| newstest2019-ende-engdeu.eng.deu | 21.0 | 0.512 |
| newstest2019-enfi-engfin.eng.fin | 10.4 | 0.420 |
| newstest2019-engu-engguj.eng.guj | 5.8 | 0.297 |
| newstest2019-enlt-englit.eng.lit | 8.0 | 0.388 |
| newstest2019-enru-engrus.eng.rus | 13.0 | 0.415 |
| newstest2019-enzh-engzho.eng.zho | 15.0 | 0.192 |
| newstestB2016-enfi-engfin.eng.fin | 9.0 | 0.414 |
| newstestB2017-enfi-engfin.eng.fin | 9.5 | 0.415 |
| Tatoeba-test.eng-abk.eng.abk | 4.2 | 0.275 |
| Tatoeba-test.eng-ady.eng.ady | 0.4 | 0.006 |
| Tatoeba-test.eng-afh.eng.afh | 1.0 | 0.058 |
| Tatoeba-test.eng-afr.eng.afr | 47.0 | 0.663 |
| Tatoeba-test.eng-akl.eng.akl | 2.7 | 0.080 |
| Tatoeba-test.eng-amh.eng.amh | 8.5 | 0.455 |
| Tatoeba-test.eng-ang.eng.ang | 6.2 | 0.138 |
| Tatoeba-test.eng-ara.eng.ara | 6.3 | 0.325 |
| Tatoeba-test.eng-arg.eng.arg | 1.5 | 0.107 |
| Tatoeba-test.eng-asm.eng.asm | 2.1 | 0.265 |
| Tatoeba-test.eng-ast.eng.ast | 15.7 | 0.393 |
| Tatoeba-test.eng-avk.eng.avk | 0.2 | 0.095 |
| Tatoeba-test.eng-awa.eng.awa | 0.1 | 0.002 |
| Tatoeba-test.eng-aze.eng.aze | 19.0 | 0.500 |
| Tatoeba-test.eng-bak.eng.bak | 12.7 | 0.379 |
| Tatoeba-test.eng-bam.eng.bam | 8.3 | 0.037 |
| Tatoeba-test.eng-bel.eng.bel | 13.5 | 0.396 |
| Tatoeba-test.eng-ben.eng.ben | 10.0 | 0.383 |
| Tatoeba-test.eng-bho.eng.bho | 0.1 | 0.003 |
| Tatoeba-test.eng-bod.eng.bod | 0.0 | 0.147 |
| Tatoeba-test.eng-bre.eng.bre | 7.6 | 0.275 |
| Tatoeba-test.eng-brx.eng.brx | 0.8 | 0.060 |
| Tatoeba-test.eng-bul.eng.bul | 32.1 | 0.542 |
| Tatoeba-test.eng-cat.eng.cat | 37.0 | 0.595 |
| Tatoeba-test.eng-ceb.eng.ceb | 9.6 | 0.409 |
| Tatoeba-test.eng-ces.eng.ces | 24.0 | 0.475 |
| Tatoeba-test.eng-cha.eng.cha | 3.9 | 0.228 |
| Tatoeba-test.eng-che.eng.che | 0.7 | 0.013 |
| Tatoeba-test.eng-chm.eng.chm | 2.6 | 0.212 |
| Tatoeba-test.eng-chr.eng.chr | 6.0 | 0.190 |
| Tatoeba-test.eng-chv.eng.chv | 6.5 | 0.369 |
| Tatoeba-test.eng-cor.eng.cor | 0.9 | 0.086 |
| Tatoeba-test.eng-cos.eng.cos | 4.2 | 0.174 |
| Tatoeba-test.eng-crh.eng.crh | 9.9 | 0.361 |
| Tatoeba-test.eng-csb.eng.csb | 3.4 | 0.230 |
| Tatoeba-test.eng-cym.eng.cym | 18.0 | 0.418 |
| Tatoeba-test.eng-dan.eng.dan | 42.5 | 0.624 |
| Tatoeba-test.eng-deu.eng.deu | 25.2 | 0.505 |
| Tatoeba-test.eng-dsb.eng.dsb | 0.9 | 0.121 |
| Tatoeba-test.eng-dtp.eng.dtp | 0.3 | 0.084 |
| Tatoeba-test.eng-dws.eng.dws | 0.2 | 0.040 |
| Tatoeba-test.eng-egl.eng.egl | 0.4 | 0.085 |
| Tatoeba-test.eng-ell.eng.ell | 28.7 | 0.543 |
| Tatoeba-test.eng-enm.eng.enm | 3.3 | 0.295 |
| Tatoeba-test.eng-epo.eng.epo | 33.4 | 0.570 |
| Tatoeba-test.eng-est.eng.est | 30.3 | 0.545 |
| Tatoeba-test.eng-eus.eng.eus | 18.5 | 0.486 |
| Tatoeba-test.eng-ewe.eng.ewe | 6.8 | 0.272 |
| Tatoeba-test.eng-ext.eng.ext | 5.0 | 0.228 |
| Tatoeba-test.eng-fao.eng.fao | 5.2 | 0.277 |
| Tatoeba-test.eng-fas.eng.fas | 6.9 | 0.265 |
| Tatoeba-test.eng-fij.eng.fij | 31.5 | 0.365 |
| Tatoeba-test.eng-fin.eng.fin | 18.5 | 0.459 |
| Tatoeba-test.eng-fkv.eng.fkv | 0.9 | 0.132 |
| Tatoeba-test.eng-fra.eng.fra | 31.5 | 0.546 |
| Tatoeba-test.eng-frm.eng.frm | 0.9 | 0.128 |
| Tatoeba-test.eng-frr.eng.frr | 3.0 | 0.025 |
| Tatoeba-test.eng-fry.eng.fry | 14.4 | 0.387 |
| Tatoeba-test.eng-ful.eng.ful | 0.4 | 0.061 |
| Tatoeba-test.eng-gcf.eng.gcf | 0.3 | 0.075 |
| Tatoeba-test.eng-gil.eng.gil | 47.4 | 0.706 |
| Tatoeba-test.eng-gla.eng.gla | 10.9 | 0.341 |
| Tatoeba-test.eng-gle.eng.gle | 26.8 | 0.493 |
| Tatoeba-test.eng-glg.eng.glg | 32.5 | 0.565 |
| Tatoeba-test.eng-glv.eng.glv | 21.5 | 0.395 |
| Tatoeba-test.eng-gos.eng.gos | 0.3 | 0.124 |
| Tatoeba-test.eng-got.eng.got | 0.2 | 0.010 |
| Tatoeba-test.eng-grc.eng.grc | 0.0 | 0.005 |
| Tatoeba-test.eng-grn.eng.grn | 1.5 | 0.129 |
| Tatoeba-test.eng-gsw.eng.gsw | 0.6 | 0.106 |
| Tatoeba-test.eng-guj.eng.guj | 15.4 | 0.347 |
| Tatoeba-test.eng-hat.eng.hat | 31.1 | 0.527 |
| Tatoeba-test.eng-hau.eng.hau | 6.5 | 0.385 |
| Tatoeba-test.eng-haw.eng.haw | 0.2 | 0.066 |
| Tatoeba-test.eng-hbs.eng.hbs | 28.7 | 0.531 |
| Tatoeba-test.eng-heb.eng.heb | 21.3 | 0.443 |
| Tatoeba-test.eng-hif.eng.hif | 2.8 | 0.268 |
| Tatoeba-test.eng-hil.eng.hil | 12.0 | 0.463 |
| Tatoeba-test.eng-hin.eng.hin | 13.0 | 0.401 |
| Tatoeba-test.eng-hmn.eng.hmn | 0.2 | 0.073 |
| Tatoeba-test.eng-hoc.eng.hoc | 0.2 | 0.077 |
| Tatoeba-test.eng-hsb.eng.hsb | 5.7 | 0.308 |
| Tatoeba-test.eng-hun.eng.hun | 17.1 | 0.431 |
| Tatoeba-test.eng-hye.eng.hye | 15.0 | 0.378 |
| Tatoeba-test.eng-iba.eng.iba | 16.0 | 0.437 |
| Tatoeba-test.eng-ibo.eng.ibo | 2.9 | 0.221 |
| Tatoeba-test.eng-ido.eng.ido | 11.5 | 0.403 |
| Tatoeba-test.eng-iku.eng.iku | 2.3 | 0.089 |
| Tatoeba-test.eng-ile.eng.ile | 4.3 | 0.282 |
| Tatoeba-test.eng-ilo.eng.ilo | 26.4 | 0.522 |
| Tatoeba-test.eng-ina.eng.ina | 20.9 | 0.493 |
| Tatoeba-test.eng-isl.eng.isl | 12.5 | 0.375 |
| Tatoeba-test.eng-ita.eng.ita | 33.9 | 0.592 |
| Tatoeba-test.eng-izh.eng.izh | 4.6 | 0.050 |
| Tatoeba-test.eng-jav.eng.jav | 7.8 | 0.328 |
| Tatoeba-test.eng-jbo.eng.jbo | 0.1 | 0.123 |
| Tatoeba-test.eng-jdt.eng.jdt | 6.4 | 0.008 |
| Tatoeba-test.eng-jpn.eng.jpn | 0.0 | 0.000 |
| Tatoeba-test.eng-kab.eng.kab | 5.9 | 0.261 |
| Tatoeba-test.eng-kal.eng.kal | 13.4 | 0.382 |
| Tatoeba-test.eng-kan.eng.kan | 4.8 | 0.358 |
| Tatoeba-test.eng-kat.eng.kat | 1.8 | 0.115 |
| Tatoeba-test.eng-kaz.eng.kaz | 8.8 | 0.354 |
| Tatoeba-test.eng-kek.eng.kek | 3.7 | 0.188 |
| Tatoeba-test.eng-kha.eng.kha | 0.5 | 0.094 |
| Tatoeba-test.eng-khm.eng.khm | 0.4 | 0.243 |
| Tatoeba-test.eng-kin.eng.kin | 5.2 | 0.362 |
| Tatoeba-test.eng-kir.eng.kir | 17.2 | 0.416 |
| Tatoeba-test.eng-kjh.eng.kjh | 0.6 | 0.009 |
| Tatoeba-test.eng-kok.eng.kok | 5.5 | 0.005 |
| Tatoeba-test.eng-kom.eng.kom | 2.4 | 0.012 |
| Tatoeba-test.eng-krl.eng.krl | 2.0 | 0.099 |
| Tatoeba-test.eng-ksh.eng.ksh | 0.4 | 0.074 |
| Tatoeba-test.eng-kum.eng.kum | 0.9 | 0.007 |
| Tatoeba-test.eng-kur.eng.kur | 9.1 | 0.174 |
| Tatoeba-test.eng-lad.eng.lad | 1.2 | 0.154 |
| Tatoeba-test.eng-lah.eng.lah | 0.1 | 0.001 |
| Tatoeba-test.eng-lao.eng.lao | 0.6 | 0.426 |
| Tatoeba-test.eng-lat.eng.lat | 8.2 | 0.366 |
| Tatoeba-test.eng-lav.eng.lav | 20.4 | 0.475 |
| Tatoeba-test.eng-ldn.eng.ldn | 0.3 | 0.059 |
| Tatoeba-test.eng-lfn.eng.lfn | 0.5 | 0.104 |
| Tatoeba-test.eng-lij.eng.lij | 0.2 | 0.094 |
| Tatoeba-test.eng-lin.eng.lin | 1.2 | 0.276 |
| Tatoeba-test.eng-lit.eng.lit | 17.4 | 0.488 |
| Tatoeba-test.eng-liv.eng.liv | 0.3 | 0.039 |
| Tatoeba-test.eng-lkt.eng.lkt | 0.3 | 0.041 |
| Tatoeba-test.eng-lld.eng.lld | 0.1 | 0.083 |
| Tatoeba-test.eng-lmo.eng.lmo | 1.4 | 0.154 |
| Tatoeba-test.eng-ltz.eng.ltz | 19.1 | 0.395 |
| Tatoeba-test.eng-lug.eng.lug | 4.2 | 0.382 |
| Tatoeba-test.eng-mad.eng.mad | 2.1 | 0.075 |
| Tatoeba-test.eng-mah.eng.mah | 9.5 | 0.331 |
| Tatoeba-test.eng-mai.eng.mai | 9.3 | 0.372 |
| Tatoeba-test.eng-mal.eng.mal | 8.3 | 0.437 |
| Tatoeba-test.eng-mar.eng.mar | 13.5 | 0.410 |
| Tatoeba-test.eng-mdf.eng.mdf | 2.3 | 0.008 |
| Tatoeba-test.eng-mfe.eng.mfe | 83.6 | 0.905 |
| Tatoeba-test.eng-mic.eng.mic | 7.6 | 0.214 |
| Tatoeba-test.eng-mkd.eng.mkd | 31.8 | 0.540 |
| Tatoeba-test.eng-mlg.eng.mlg | 31.3 | 0.464 |
| Tatoeba-test.eng-mlt.eng.mlt | 11.7 | 0.427 |
| Tatoeba-test.eng-mnw.eng.mnw | 0.1 | 0.000 |
| Tatoeba-test.eng-moh.eng.moh | 0.6 | 0.067 |
| Tatoeba-test.eng-mon.eng.mon | 8.5 | 0.323 |
| Tatoeba-test.eng-mri.eng.mri | 8.5 | 0.320 |
| Tatoeba-test.eng-msa.eng.msa | 24.5 | 0.498 |
| Tatoeba-test.eng.multi | 22.4 | 0.451 |
| Tatoeba-test.eng-mwl.eng.mwl | 3.8 | 0.169 |
| Tatoeba-test.eng-mya.eng.mya | 0.2 | 0.123 |
| Tatoeba-test.eng-myv.eng.myv | 1.1 | 0.014 |
| Tatoeba-test.eng-nau.eng.nau | 0.6 | 0.109 |
| Tatoeba-test.eng-nav.eng.nav | 1.8 | 0.149 |
| Tatoeba-test.eng-nds.eng.nds | 11.3 | 0.365 |
| Tatoeba-test.eng-nep.eng.nep | 0.5 | 0.004 |
| Tatoeba-test.eng-niu.eng.niu | 34.4 | 0.501 |
| Tatoeba-test.eng-nld.eng.nld | 37.6 | 0.598 |
| Tatoeba-test.eng-nog.eng.nog | 0.2 | 0.010 |
| Tatoeba-test.eng-non.eng.non | 0.2 | 0.096 |
| Tatoeba-test.eng-nor.eng.nor | 36.3 | 0.577 |
| Tatoeba-test.eng-nov.eng.nov | 0.9 | 0.180 |
| Tatoeba-test.eng-nya.eng.nya | 9.8 | 0.524 |
| Tatoeba-test.eng-oci.eng.oci | 6.3 | 0.288 |
| Tatoeba-test.eng-ori.eng.ori | 5.3 | 0.273 |
| Tatoeba-test.eng-orv.eng.orv | 0.2 | 0.007 |
| Tatoeba-test.eng-oss.eng.oss | 3.0 | 0.230 |
| Tatoeba-test.eng-ota.eng.ota | 0.2 | 0.053 |
| Tatoeba-test.eng-pag.eng.pag | 20.2 | 0.513 |
| Tatoeba-test.eng-pan.eng.pan | 6.4 | 0.301 |
| Tatoeba-test.eng-pap.eng.pap | 44.7 | 0.624 |
| Tatoeba-test.eng-pau.eng.pau | 0.8 | 0.098 |
| Tatoeba-test.eng-pdc.eng.pdc | 2.9 | 0.143 |
| Tatoeba-test.eng-pms.eng.pms | 0.6 | 0.124 |
| Tatoeba-test.eng-pol.eng.pol | 22.7 | 0.500 |
| Tatoeba-test.eng-por.eng.por | 31.6 | 0.570 |
| Tatoeba-test.eng-ppl.eng.ppl | 0.5 | 0.085 |
| Tatoeba-test.eng-prg.eng.prg | 0.1 | 0.078 |
| Tatoeba-test.eng-pus.eng.pus | 0.9 | 0.137 |
| Tatoeba-test.eng-quc.eng.quc | 2.7 | 0.255 |
| Tatoeba-test.eng-qya.eng.qya | 0.4 | 0.084 |
| Tatoeba-test.eng-rap.eng.rap | 1.9 | 0.050 |
| Tatoeba-test.eng-rif.eng.rif | 1.3 | 0.102 |
| Tatoeba-test.eng-roh.eng.roh | 1.4 | 0.169 |
| Tatoeba-test.eng-rom.eng.rom | 7.8 | 0.329 |
| Tatoeba-test.eng-ron.eng.ron | 27.0 | 0.530 |
| Tatoeba-test.eng-rue.eng.rue | 0.1 | 0.009 |
| Tatoeba-test.eng-run.eng.run | 9.8 | 0.434 |
| Tatoeba-test.eng-rus.eng.rus | 22.2 | 0.465 |
| Tatoeba-test.eng-sag.eng.sag | 4.8 | 0.155 |
| Tatoeba-test.eng-sah.eng.sah | 0.2 | 0.007 |
| Tatoeba-test.eng-san.eng.san | 1.7 | 0.143 |
| Tatoeba-test.eng-scn.eng.scn | 1.5 | 0.083 |
| Tatoeba-test.eng-sco.eng.sco | 30.3 | 0.514 |
| Tatoeba-test.eng-sgs.eng.sgs | 1.6 | 0.104 |
| Tatoeba-test.eng-shs.eng.shs | 0.7 | 0.049 |
| Tatoeba-test.eng-shy.eng.shy | 0.6 | 0.064 |
| Tatoeba-test.eng-sin.eng.sin | 5.4 | 0.317 |
| Tatoeba-test.eng-sjn.eng.sjn | 0.3 | 0.074 |
| Tatoeba-test.eng-slv.eng.slv | 12.8 | 0.313 |
| Tatoeba-test.eng-sma.eng.sma | 0.8 | 0.063 |
| Tatoeba-test.eng-sme.eng.sme | 13.2 | 0.290 |
| Tatoeba-test.eng-smo.eng.smo | 12.1 | 0.416 |
| Tatoeba-test.eng-sna.eng.sna | 27.1 | 0.533 |
| Tatoeba-test.eng-snd.eng.snd | 6.0 | 0.359 |
| Tatoeba-test.eng-som.eng.som | 16.0 | 0.274 |
| Tatoeba-test.eng-spa.eng.spa | 36.7 | 0.603 |
| Tatoeba-test.eng-sqi.eng.sqi | 32.3 | 0.573 |
| Tatoeba-test.eng-stq.eng.stq | 0.6 | 0.198 |
| Tatoeba-test.eng-sun.eng.sun | 39.0 | 0.447 |
| Tatoeba-test.eng-swa.eng.swa | 1.1 | 0.109 |
| Tatoeba-test.eng-swe.eng.swe | 42.7 | 0.614 |
| Tatoeba-test.eng-swg.eng.swg | 0.6 | 0.118 |
| Tatoeba-test.eng-tah.eng.tah | 12.4 | 0.294 |
| Tatoeba-test.eng-tam.eng.tam | 5.0 | 0.404 |
| Tatoeba-test.eng-tat.eng.tat | 9.9 | 0.326 |
| Tatoeba-test.eng-tel.eng.tel | 4.7 | 0.326 |
| Tatoeba-test.eng-tet.eng.tet | 0.7 | 0.100 |
| Tatoeba-test.eng-tgk.eng.tgk | 5.5 | 0.304 |
| Tatoeba-test.eng-tha.eng.tha | 2.2 | 0.456 |
| Tatoeba-test.eng-tir.eng.tir | 1.5 | 0.197 |
| Tatoeba-test.eng-tlh.eng.tlh | 0.0 | 0.032 |
| Tatoeba-test.eng-tly.eng.tly | 0.3 | 0.061 |
| Tatoeba-test.eng-toi.eng.toi | 8.3 | 0.219 |
| Tatoeba-test.eng-ton.eng.ton | 32.7 | 0.619 |
| Tatoeba-test.eng-tpw.eng.tpw | 1.4 | 0.136 |
| Tatoeba-test.eng-tso.eng.tso | 9.6 | 0.465 |
| Tatoeba-test.eng-tuk.eng.tuk | 9.4 | 0.383 |
| Tatoeba-test.eng-tur.eng.tur | 24.1 | 0.542 |
| Tatoeba-test.eng-tvl.eng.tvl | 8.9 | 0.398 |
| Tatoeba-test.eng-tyv.eng.tyv | 10.4 | 0.249 |
| Tatoeba-test.eng-tzl.eng.tzl | 0.2 | 0.098 |
| Tatoeba-test.eng-udm.eng.udm | 6.5 | 0.212 |
| Tatoeba-test.eng-uig.eng.uig | 2.1 | 0.266 |
| Tatoeba-test.eng-ukr.eng.ukr | 24.3 | 0.479 |
| Tatoeba-test.eng-umb.eng.umb | 4.4 | 0.274 |
| Tatoeba-test.eng-urd.eng.urd | 8.6 | 0.344 |
| Tatoeba-test.eng-uzb.eng.uzb | 6.9 | 0.343 |
| Tatoeba-test.eng-vec.eng.vec | 1.0 | 0.094 |
| Tatoeba-test.eng-vie.eng.vie | 23.2 | 0.420 |
| Tatoeba-test.eng-vol.eng.vol | 0.3 | 0.086 |
| Tatoeba-test.eng-war.eng.war | 11.4 | 0.415 |
| Tatoeba-test.eng-wln.eng.wln | 8.4 | 0.218 |
| Tatoeba-test.eng-wol.eng.wol | 11.5 | 0.252 |
| Tatoeba-test.eng-xal.eng.xal | 0.1 | 0.007 |
| Tatoeba-test.eng-xho.eng.xho | 19.5 | 0.552 |
| Tatoeba-test.eng-yid.eng.yid | 4.0 | 0.256 |
| Tatoeba-test.eng-yor.eng.yor | 8.8 | 0.247 |
| Tatoeba-test.eng-zho.eng.zho | 21.8 | 0.192 |
| Tatoeba-test.eng-zul.eng.zul | 34.3 | 0.655 |
| Tatoeba-test.eng-zza.eng.zza | 0.5 | 0.080 |
### System Info:
- hf_name: eng-mul
- source_languages: eng
- target_languages: mul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul']
- src_constituents: {'eng'}
- tgt_constituents: {'sjn_Latn', 'cat', 'nan', 'spa', 'ile_Latn', 'pap', 'mwl', 'uzb_Latn', 'mww', 'hil', 'lij', 'avk_Latn', 'lad_Latn', 'lat_Latn', 'bos_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi_Latn', 'awa', 'swg', 'zsm_Latn', 'zho_Hant', 'gcf_Latn', 'uzb_Cyrl', 'isl', 'lfn_Latn', 'shs_Latn', 'nov_Latn', 'bho', 'ltz', 'lzh', 'kur_Latn', 'sun', 'arg', 'pes_Thaa', 'sqi', 'uig_Arab', 'csb_Latn', 'fra', 'hat', 'liv_Latn', 'non_Latn', 'sco', 'cmn_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul_Latn', 'amh', 'lfn_Cyrl', 'eus', 'fkv_Latn', 'tur', 'pus', 'afr', 'brx_Latn', 'nya', 'acm', 'ota_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho_Hans', 'tmw_Latn', 'kjh', 'ota_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh_Hans', 'ara', 'tly_Latn', 'lug', 'brx', 'bul', 'bel', 'vol_Latn', 'kat', 'gan', 'got_Goth', 'vro', 'ext', 'afh_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif_Latn', 'cjy_Hant', 'bre', 'ceb', 'mah', 'nob_Hebr', 'crh_Latn', 'prg_Latn', 'khm', 'ang_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie_Hani', 'arz', 'yue', 'kha', 'san_Deva', 'jbo_Latn', 'gos', 'hau_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig_Cyrl', 'fao', 'mnw', 'zho', 'orv_Cyrl', 'iba', 'bel_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc_Grek', 'tpw_Latn', 'oci', 'mfe', 'sna', 'kir_Cyrl', 'tat_Latn', 'gom', 'ido_Latn', 'sgs', 'pau', 'tgk_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp_Latn', 'wuu', 'dtp', 'jbo_Cyrl', 'tet', 'bod', 'yue_Hans', 'zlm_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif_Latn', 'vie', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina_Latn', 'cjy_Hans', 'jdt_Cyrl', 'gsw', 'glv', 'khm_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd_Arab', 'arq', 'mri', 'kur_Arab', 'por', 'hin', 'shy_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue_Hant', 'kpv', 'tam', 'est', 'frm_Latn', 'hoc_Latn', 'bam_Latn', 'kek_Latn', 'ksh', 'tlh_Latn', 'ltg', 'pan_Guru', 'hnj_Latn', 'cor', 'gle', 'swe', 'lin', 'qya_Latn', 'kum', 'mad', 'cmn_Hant', 'fuv', 'nau', 'mon', 'akl_Latn', 'guj', 'kaz_Latn', 'wln', 'tuk_Latn', 'jav_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws_Latn', 'urd', 'stq', 'tat_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld_Latn', 'tzl_Latn', 'mdf', 'ike_Latn', 'ces', 'ldn_Latn', 'egl', 'heb', 'vec', 'zul', 'max_Latn', 'pes_Latn', 'yid', 'mal', 'nds'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: mul
- short_pair: en-mul
- chrF2_score: 0.451
- bleu: 22.4
- brevity_penalty: 0.987
- ref_len: 68724.0
- src_name: English
- tgt_name: Multiple languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: mul
- prefer_old: False
- long_pair: eng-mul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-ng | 2021-01-18T08:13:15.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ng",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 70 | transformers | ---
tags:
- translation
---
### opus-mt-en-ng
* source languages: en
* target languages: ng
* OPUS readme: [en-ng](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ng/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ng/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ng/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ng/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ng | 24.8 | 0.496 |
|
Helsinki-NLP/opus-mt-en-nic | 2021-01-18T08:13:21.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sn",
"rw",
"wo",
"ig",
"sg",
"ee",
"zu",
"lg",
"ts",
"ln",
"ny",
"yo",
"rn",
"xh",
"nic",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 41 | transformers | ---
language:
- en
- sn
- rw
- wo
- ig
- sg
- ee
- zu
- lg
- ts
- ln
- ny
- yo
- rn
- xh
- nic
tags:
- translation
license: apache-2.0
---
### eng-nic
* source group: English
* target group: Niger-Kordofanian languages
* OPUS readme: [eng-nic](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-nic/README.md)
* model: transformer
* source language(s): eng
* target language(s): bam_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
* 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: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bam.eng.bam | 6.2 | 0.029 |
| Tatoeba-test.eng-ewe.eng.ewe | 4.5 | 0.258 |
| Tatoeba-test.eng-ful.eng.ful | 0.5 | 0.073 |
| Tatoeba-test.eng-ibo.eng.ibo | 3.9 | 0.267 |
| Tatoeba-test.eng-kin.eng.kin | 6.4 | 0.475 |
| Tatoeba-test.eng-lin.eng.lin | 1.2 | 0.308 |
| Tatoeba-test.eng-lug.eng.lug | 3.9 | 0.405 |
| Tatoeba-test.eng.multi | 11.1 | 0.427 |
| Tatoeba-test.eng-nya.eng.nya | 14.0 | 0.622 |
| Tatoeba-test.eng-run.eng.run | 13.6 | 0.477 |
| Tatoeba-test.eng-sag.eng.sag | 5.5 | 0.199 |
| Tatoeba-test.eng-sna.eng.sna | 19.6 | 0.557 |
| Tatoeba-test.eng-swa.eng.swa | 1.8 | 0.163 |
| Tatoeba-test.eng-toi.eng.toi | 8.3 | 0.231 |
| Tatoeba-test.eng-tso.eng.tso | 50.0 | 0.789 |
| Tatoeba-test.eng-umb.eng.umb | 7.8 | 0.342 |
| Tatoeba-test.eng-wol.eng.wol | 6.7 | 0.143 |
| Tatoeba-test.eng-xho.eng.xho | 26.4 | 0.620 |
| Tatoeba-test.eng-yor.eng.yor | 15.5 | 0.342 |
| Tatoeba-test.eng-zul.eng.zul | 35.9 | 0.750 |
### System Info:
- hf_name: eng-nic
- source_languages: eng
- target_languages: nic
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-nic/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic']
- src_constituents: {'eng'}
- tgt_constituents: {'bam_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: nic
- short_pair: en-nic
- chrF2_score: 0.42700000000000005
- bleu: 11.1
- brevity_penalty: 1.0
- ref_len: 10625.0
- src_name: English
- tgt_name: Niger-Kordofanian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: nic
- prefer_old: False
- long_pair: eng-nic
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-niu | 2021-01-18T08:13:26.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"niu",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 66 | transformers | ---
tags:
- translation
---
### opus-mt-en-niu
* source languages: en
* target languages: niu
* OPUS readme: [en-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-niu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-niu/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-niu/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-niu/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.niu | 53.0 | 0.698 |
|
Helsinki-NLP/opus-mt-en-nl | 2021-02-21T08:27:30.000Z | [
"pytorch",
"rust",
"marian",
"seq2seq",
"en",
"nl",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 2,946 | transformers | ---
tags:
- translation
---
### opus-mt-en-nl
* source languages: en
* target languages: nl
* OPUS readme: [en-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-nl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-04.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-nl/opus-2019-12-04.zip)
* test set translations: [opus-2019-12-04.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nl/opus-2019-12-04.test.txt)
* test set scores: [opus-2019-12-04.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nl/opus-2019-12-04.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.nl | 57.1 | 0.730 |
|
Helsinki-NLP/opus-mt-en-nso | 2021-01-18T08:13:38.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"nso",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 60 | transformers | ---
tags:
- translation
---
### opus-mt-en-nso
* source languages: en
* target languages: nso
* OPUS readme: [en-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-nso/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-nso/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nso/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nso/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.nso | 52.2 | 0.684 |
|
Helsinki-NLP/opus-mt-en-ny | 2021-01-18T08:13:45.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ny",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 42 | transformers | ---
tags:
- translation
---
### opus-mt-en-ny
* source languages: en
* target languages: ny
* OPUS readme: [en-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ny/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ny/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ny/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ny/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ny | 31.4 | 0.570 |
| Tatoeba.en.ny | 26.8 | 0.645 |
|
Helsinki-NLP/opus-mt-en-nyk | 2021-01-18T08:13:50.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"nyk",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 68 | transformers | ---
tags:
- translation
---
### opus-mt-en-nyk
* source languages: en
* target languages: nyk
* OPUS readme: [en-nyk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-nyk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-nyk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nyk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nyk/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.nyk | 26.6 | 0.511 |
|
Helsinki-NLP/opus-mt-en-om | 2021-01-18T08:14:01.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"om",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 44 | transformers | ---
tags:
- translation
---
### opus-mt-en-om
* source languages: en
* target languages: om
* OPUS readme: [en-om](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-om/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-om/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-om/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-om/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.om | 21.8 | 0.498 |
|
Helsinki-NLP/opus-mt-en-pag | 2021-01-18T08:14:07.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"pag",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 57 | transformers | ---
tags:
- translation
---
### opus-mt-en-pag
* source languages: en
* target languages: pag
* OPUS readme: [en-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pag/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.pag | 37.9 | 0.598 |
|