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translation | transformers |
### opus-mt-iso-fi
* source languages: iso
* target languages: fi
* OPUS readme: [iso-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/iso-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.iso.fi | 23.0 | 0.443 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-iso-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"iso",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-iso-fr
* source languages: iso
* target languages: fr
* OPUS readme: [iso-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/iso-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.iso.fr | 25.6 | 0.422 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-iso-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"iso",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-iso-sv
* source languages: iso
* target languages: sv
* OPUS readme: [iso-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.iso.sv | 25.0 | 0.430 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-iso-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"iso",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ita-ara
* source group: Italian
* target group: Arabic
* OPUS readme: [ita-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ara/README.md)
* model: transformer
* source language(s): ita
* target language(s): ara
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.ara | 21.9 | 0.517 |
### System Info:
- hf_name: ita-ara
- source_languages: ita
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ar']
- src_constituents: {'ita'}
- 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/ita-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.test.txt
- src_alpha3: ita
- tgt_alpha3: ara
- short_pair: it-ar
- chrF2_score: 0.517
- bleu: 21.9
- brevity_penalty: 0.95
- ref_len: 1161.0
- src_name: Italian
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: it
- tgt_alpha2: ar
- prefer_old: False
- long_pair: ita-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "ar"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-ar | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ita-bul
* source group: Italian
* target group: Bulgarian
* OPUS readme: [ita-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-bul/README.md)
* model: transformer
* source language(s): ita
* target language(s): bul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.bul | 47.9 | 0.664 |
### System Info:
- hf_name: ita-bul
- source_languages: ita
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'bg']
- src_constituents: {'ita'}
- 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/ita-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt
- src_alpha3: ita
- tgt_alpha3: bul
- short_pair: it-bg
- chrF2_score: 0.664
- bleu: 47.9
- brevity_penalty: 0.961
- ref_len: 16512.0
- src_name: Italian
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: it
- tgt_alpha2: bg
- prefer_old: False
- long_pair: ita-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "bg"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-bg | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"bg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ita-cat
* source group: Italian
* target group: Catalan
* OPUS readme: [ita-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-cat/README.md)
* model: transformer-align
* source language(s): ita
* target language(s): cat
* 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/ita-cat/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.cat | 52.5 | 0.706 |
### System Info:
- hf_name: ita-cat
- source_languages: ita
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ca']
- src_constituents: {'ita'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.test.txt
- src_alpha3: ita
- tgt_alpha3: cat
- short_pair: it-ca
- chrF2_score: 0.706
- bleu: 52.5
- brevity_penalty: 0.993
- ref_len: 2074.0
- src_name: Italian
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: it
- tgt_alpha2: ca
- prefer_old: False
- long_pair: ita-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "ca"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-ca | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"ca",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-it-de
* source languages: it
* target languages: de
* OPUS readme: [it-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-de/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/it-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.it.de | 49.4 | 0.678 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-it-en
* source languages: it
* target languages: en
* OPUS readme: [it-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-en/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/it-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.it.en | 35.3 | 0.600 |
| newstest2009.it.en | 34.0 | 0.594 |
| Tatoeba.it.en | 70.9 | 0.808 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ita-epo
* source group: Italian
* target group: Esperanto
* OPUS readme: [ita-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-epo/README.md)
* model: transformer-align
* source language(s): ita
* target language(s): epo
* 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/ita-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.epo | 28.2 | 0.500 |
### System Info:
- hf_name: ita-epo
- source_languages: ita
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'eo']
- src_constituents: {'ita'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.test.txt
- src_alpha3: ita
- tgt_alpha3: epo
- short_pair: it-eo
- chrF2_score: 0.5
- bleu: 28.2
- brevity_penalty: 0.9570000000000001
- ref_len: 67846.0
- src_name: Italian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: it
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ita-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "eo"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-eo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-it-es
* source languages: it
* target languages: es
* OPUS readme: [it-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.it.es | 61.2 | 0.761 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-it-fr
* source languages: it
* target languages: fr
* OPUS readme: [it-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.it.fr | 67.9 | 0.792 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ita-isl
* source group: Italian
* target group: Icelandic
* OPUS readme: [ita-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-isl/README.md)
* model: transformer-align
* source language(s): ita
* target language(s): isl
* 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/ita-isl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.isl | 28.6 | 0.524 |
### System Info:
- hf_name: ita-isl
- source_languages: ita
- target_languages: isl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-isl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'is']
- src_constituents: {'ita'}
- tgt_constituents: {'isl'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.test.txt
- src_alpha3: ita
- tgt_alpha3: isl
- short_pair: it-is
- chrF2_score: 0.524
- bleu: 28.6
- brevity_penalty: 0.972
- ref_len: 1459.0
- src_name: Italian
- tgt_name: Icelandic
- train_date: 2020-06-17
- src_alpha2: it
- tgt_alpha2: is
- prefer_old: False
- long_pair: ita-isl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "is"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-is | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"is",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ita-lit
* source group: Italian
* target group: Lithuanian
* OPUS readme: [ita-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-lit/README.md)
* model: transformer-align
* source language(s): ita
* target language(s): lit
* 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/ita-lit/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.lit | 38.1 | 0.652 |
### System Info:
- hf_name: ita-lit
- source_languages: ita
- target_languages: lit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-lit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'lt']
- src_constituents: {'ita'}
- tgt_constituents: {'lit'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.test.txt
- src_alpha3: ita
- tgt_alpha3: lit
- short_pair: it-lt
- chrF2_score: 0.652
- bleu: 38.1
- brevity_penalty: 0.9590000000000001
- ref_len: 1321.0
- src_name: Italian
- tgt_name: Lithuanian
- train_date: 2020-06-17
- src_alpha2: it
- tgt_alpha2: lt
- prefer_old: False
- long_pair: ita-lit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "lt"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-lt | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"lt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ita-msa
* source group: Italian
* target group: Malay (macrolanguage)
* OPUS readme: [ita-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-msa/README.md)
* model: transformer-align
* source language(s): ita
* target language(s): ind zsm_Latn
* model: transformer-align
* 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-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.msa | 26.0 | 0.536 |
### System Info:
- hf_name: ita-msa
- source_languages: ita
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ms']
- src_constituents: {'ita'}
- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.test.txt
- src_alpha3: ita
- tgt_alpha3: msa
- short_pair: it-ms
- chrF2_score: 0.536
- bleu: 26.0
- brevity_penalty: 0.9209999999999999
- ref_len: 2765.0
- src_name: Italian
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: it
- tgt_alpha2: ms
- prefer_old: False
- long_pair: ita-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "ms"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-ms | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"ms",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-it-sv
* source languages: it
* target languages: sv
* OPUS readme: [it-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-sv/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-sv/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-sv/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.it.sv | 56.0 | 0.707 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ita-ukr
* source group: Italian
* target group: Ukrainian
* OPUS readme: [ita-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ukr/README.md)
* model: transformer-align
* source language(s): ita
* target language(s): ukr
* 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/ita-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.ukr | 45.9 | 0.657 |
### System Info:
- hf_name: ita-ukr
- source_languages: ita
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'uk']
- src_constituents: {'ita'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.test.txt
- src_alpha3: ita
- tgt_alpha3: ukr
- short_pair: it-uk
- chrF2_score: 0.657
- bleu: 45.9
- brevity_penalty: 0.9890000000000001
- ref_len: 25353.0
- src_name: Italian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: it
- tgt_alpha2: uk
- prefer_old: False
- long_pair: ita-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "uk"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-uk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ita-vie
* source group: Italian
* target group: Vietnamese
* OPUS readme: [ita-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-vie/README.md)
* model: transformer-align
* source language(s): ita
* target language(s): vie
* 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/ita-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-vie/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.vie | 36.2 | 0.535 |
### System Info:
- hf_name: ita-vie
- source_languages: ita
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'vi']
- src_constituents: {'ita'}
- tgt_constituents: {'vie', 'vie_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-vie/opus-2020-06-17.test.txt
- src_alpha3: ita
- tgt_alpha3: vie
- short_pair: it-vi
- chrF2_score: 0.535
- bleu: 36.2
- brevity_penalty: 1.0
- ref_len: 2144.0
- src_name: Italian
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: it
- tgt_alpha2: vi
- prefer_old: False
- long_pair: ita-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "vi"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-it-vi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"vi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### itc-eng
* source group: Italic languages
* target group: English
* OPUS readme: [itc-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-eng/README.md)
* model: transformer
* source 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
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro-roneng.ron.eng | 36.5 | 0.628 |
| newsdiscussdev2015-enfr-fraeng.fra.eng | 30.9 | 0.561 |
| newsdiscusstest2015-enfr-fraeng.fra.eng | 35.5 | 0.590 |
| newssyscomb2009-fraeng.fra.eng | 29.2 | 0.560 |
| newssyscomb2009-itaeng.ita.eng | 32.2 | 0.583 |
| newssyscomb2009-spaeng.spa.eng | 29.3 | 0.563 |
| news-test2008-fraeng.fra.eng | 25.2 | 0.531 |
| news-test2008-spaeng.spa.eng | 26.3 | 0.539 |
| newstest2009-fraeng.fra.eng | 28.5 | 0.555 |
| newstest2009-itaeng.ita.eng | 31.6 | 0.578 |
| newstest2009-spaeng.spa.eng | 28.7 | 0.558 |
| newstest2010-fraeng.fra.eng | 29.7 | 0.571 |
| newstest2010-spaeng.spa.eng | 32.8 | 0.593 |
| newstest2011-fraeng.fra.eng | 30.9 | 0.580 |
| newstest2011-spaeng.spa.eng | 31.8 | 0.582 |
| newstest2012-fraeng.fra.eng | 31.1 | 0.576 |
| newstest2012-spaeng.spa.eng | 35.0 | 0.604 |
| newstest2013-fraeng.fra.eng | 31.7 | 0.573 |
| newstest2013-spaeng.spa.eng | 32.4 | 0.589 |
| newstest2014-fren-fraeng.fra.eng | 34.0 | 0.606 |
| newstest2016-enro-roneng.ron.eng | 34.8 | 0.608 |
| Tatoeba-test.arg-eng.arg.eng | 41.5 | 0.528 |
| Tatoeba-test.ast-eng.ast.eng | 36.0 | 0.519 |
| Tatoeba-test.cat-eng.cat.eng | 53.7 | 0.696 |
| Tatoeba-test.cos-eng.cos.eng | 56.5 | 0.640 |
| Tatoeba-test.egl-eng.egl.eng | 4.6 | 0.217 |
| Tatoeba-test.ext-eng.ext.eng | 39.1 | 0.547 |
| Tatoeba-test.fra-eng.fra.eng | 53.4 | 0.688 |
| Tatoeba-test.frm-eng.frm.eng | 22.3 | 0.409 |
| Tatoeba-test.gcf-eng.gcf.eng | 18.7 | 0.308 |
| Tatoeba-test.glg-eng.glg.eng | 54.8 | 0.701 |
| Tatoeba-test.hat-eng.hat.eng | 42.6 | 0.583 |
| Tatoeba-test.ita-eng.ita.eng | 64.8 | 0.767 |
| Tatoeba-test.lad-eng.lad.eng | 14.4 | 0.433 |
| Tatoeba-test.lat-eng.lat.eng | 19.5 | 0.390 |
| Tatoeba-test.lij-eng.lij.eng | 8.9 | 0.280 |
| Tatoeba-test.lld-eng.lld.eng | 17.4 | 0.331 |
| Tatoeba-test.lmo-eng.lmo.eng | 10.8 | 0.306 |
| Tatoeba-test.mfe-eng.mfe.eng | 66.0 | 0.820 |
| Tatoeba-test.msa-eng.msa.eng | 40.8 | 0.590 |
| Tatoeba-test.multi.eng | 47.6 | 0.634 |
| Tatoeba-test.mwl-eng.mwl.eng | 41.3 | 0.707 |
| Tatoeba-test.oci-eng.oci.eng | 20.3 | 0.401 |
| Tatoeba-test.pap-eng.pap.eng | 53.9 | 0.642 |
| Tatoeba-test.pms-eng.pms.eng | 12.2 | 0.334 |
| Tatoeba-test.por-eng.por.eng | 59.3 | 0.734 |
| Tatoeba-test.roh-eng.roh.eng | 17.7 | 0.420 |
| Tatoeba-test.ron-eng.ron.eng | 54.5 | 0.697 |
| Tatoeba-test.scn-eng.scn.eng | 40.0 | 0.443 |
| Tatoeba-test.spa-eng.spa.eng | 55.9 | 0.712 |
| Tatoeba-test.vec-eng.vec.eng | 11.2 | 0.304 |
| Tatoeba-test.wln-eng.wln.eng | 20.9 | 0.360 |
### System Info:
- hf_name: itc-eng
- source_languages: itc
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc', 'en']
- src_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'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.test.txt
- src_alpha3: itc
- tgt_alpha3: eng
- short_pair: itc-en
- chrF2_score: 0.634
- bleu: 47.6
- brevity_penalty: 0.981
- ref_len: 77633.0
- src_name: Italic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: itc
- tgt_alpha2: en
- prefer_old: False
- long_pair: itc-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc", "en"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-itc-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"ca",
"rm",
"es",
"ro",
"gl",
"sc",
"co",
"wa",
"pt",
"oc",
"an",
"id",
"fr",
"ht",
"itc",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### itc-itc
* source group: Italic languages
* target group: Italic languages
* OPUS readme: [itc-itc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-itc/README.md)
* model: transformer
* source language(s): arg ast bjn cat cos egl fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Grek lat_Latn lij lld_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm_Latn
* target language(s): arg ast bjn cat cos egl fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Grek lat_Latn lij lld_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln 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-2020-07-07.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.zip)
* test set translations: [opus-2020-07-07.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.test.txt)
* test set scores: [opus-2020-07-07.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.arg-fra.arg.fra | 40.8 | 0.501 |
| Tatoeba-test.arg-spa.arg.spa | 59.9 | 0.739 |
| Tatoeba-test.ast-fra.ast.fra | 45.4 | 0.628 |
| Tatoeba-test.ast-por.ast.por | 100.0 | 1.000 |
| Tatoeba-test.ast-spa.ast.spa | 46.8 | 0.636 |
| Tatoeba-test.cat-fra.cat.fra | 51.6 | 0.689 |
| Tatoeba-test.cat-ita.cat.ita | 49.2 | 0.699 |
| Tatoeba-test.cat-por.cat.por | 48.0 | 0.688 |
| Tatoeba-test.cat-ron.cat.ron | 35.4 | 0.719 |
| Tatoeba-test.cat-spa.cat.spa | 69.0 | 0.826 |
| Tatoeba-test.cos-fra.cos.fra | 22.3 | 0.383 |
| Tatoeba-test.cos-pms.cos.pms | 3.4 | 0.199 |
| Tatoeba-test.egl-fra.egl.fra | 9.5 | 0.283 |
| Tatoeba-test.egl-ita.egl.ita | 3.0 | 0.206 |
| Tatoeba-test.egl-spa.egl.spa | 3.7 | 0.194 |
| Tatoeba-test.fra-arg.fra.arg | 3.8 | 0.090 |
| Tatoeba-test.fra-ast.fra.ast | 25.9 | 0.457 |
| Tatoeba-test.fra-cat.fra.cat | 42.2 | 0.637 |
| Tatoeba-test.fra-cos.fra.cos | 3.3 | 0.185 |
| Tatoeba-test.fra-egl.fra.egl | 2.2 | 0.120 |
| Tatoeba-test.fra-frm.fra.frm | 1.0 | 0.191 |
| Tatoeba-test.fra-gcf.fra.gcf | 0.2 | 0.099 |
| Tatoeba-test.fra-glg.fra.glg | 40.5 | 0.625 |
| Tatoeba-test.fra-hat.fra.hat | 22.6 | 0.472 |
| Tatoeba-test.fra-ita.fra.ita | 46.7 | 0.679 |
| Tatoeba-test.fra-lad.fra.lad | 15.9 | 0.345 |
| Tatoeba-test.fra-lat.fra.lat | 2.9 | 0.247 |
| Tatoeba-test.fra-lij.fra.lij | 1.0 | 0.201 |
| Tatoeba-test.fra-lld.fra.lld | 1.1 | 0.257 |
| Tatoeba-test.fra-lmo.fra.lmo | 1.2 | 0.241 |
| Tatoeba-test.fra-msa.fra.msa | 0.4 | 0.111 |
| Tatoeba-test.fra-oci.fra.oci | 7.3 | 0.322 |
| Tatoeba-test.fra-pap.fra.pap | 69.8 | 0.912 |
| Tatoeba-test.fra-pcd.fra.pcd | 0.6 | 0.144 |
| Tatoeba-test.fra-pms.fra.pms | 1.0 | 0.181 |
| Tatoeba-test.fra-por.fra.por | 39.7 | 0.619 |
| Tatoeba-test.fra-roh.fra.roh | 5.7 | 0.286 |
| Tatoeba-test.fra-ron.fra.ron | 36.4 | 0.591 |
| Tatoeba-test.fra-scn.fra.scn | 2.1 | 0.101 |
| Tatoeba-test.fra-spa.fra.spa | 47.5 | 0.670 |
| Tatoeba-test.fra-srd.fra.srd | 2.8 | 0.306 |
| Tatoeba-test.fra-vec.fra.vec | 3.0 | 0.345 |
| Tatoeba-test.fra-wln.fra.wln | 3.5 | 0.212 |
| Tatoeba-test.frm-fra.frm.fra | 11.4 | 0.472 |
| Tatoeba-test.gcf-fra.gcf.fra | 7.1 | 0.267 |
| Tatoeba-test.gcf-lad.gcf.lad | 0.0 | 0.170 |
| Tatoeba-test.gcf-por.gcf.por | 0.0 | 0.230 |
| Tatoeba-test.gcf-spa.gcf.spa | 13.4 | 0.314 |
| Tatoeba-test.glg-fra.glg.fra | 54.7 | 0.702 |
| Tatoeba-test.glg-ita.glg.ita | 40.1 | 0.661 |
| Tatoeba-test.glg-por.glg.por | 57.6 | 0.748 |
| Tatoeba-test.glg-spa.glg.spa | 70.0 | 0.817 |
| Tatoeba-test.hat-fra.hat.fra | 14.2 | 0.419 |
| Tatoeba-test.hat-spa.hat.spa | 17.9 | 0.449 |
| Tatoeba-test.ita-cat.ita.cat | 51.0 | 0.693 |
| Tatoeba-test.ita-egl.ita.egl | 1.1 | 0.114 |
| Tatoeba-test.ita-fra.ita.fra | 58.2 | 0.727 |
| Tatoeba-test.ita-glg.ita.glg | 41.7 | 0.652 |
| Tatoeba-test.ita-lad.ita.lad | 17.5 | 0.419 |
| Tatoeba-test.ita-lat.ita.lat | 7.1 | 0.294 |
| Tatoeba-test.ita-lij.ita.lij | 1.0 | 0.208 |
| Tatoeba-test.ita-msa.ita.msa | 0.9 | 0.115 |
| Tatoeba-test.ita-oci.ita.oci | 12.3 | 0.378 |
| Tatoeba-test.ita-pms.ita.pms | 1.6 | 0.182 |
| Tatoeba-test.ita-por.ita.por | 44.8 | 0.665 |
| Tatoeba-test.ita-ron.ita.ron | 43.3 | 0.653 |
| Tatoeba-test.ita-spa.ita.spa | 56.6 | 0.733 |
| Tatoeba-test.ita-vec.ita.vec | 2.0 | 0.187 |
| Tatoeba-test.lad-fra.lad.fra | 30.4 | 0.458 |
| Tatoeba-test.lad-gcf.lad.gcf | 0.0 | 0.163 |
| Tatoeba-test.lad-ita.lad.ita | 12.3 | 0.426 |
| Tatoeba-test.lad-lat.lad.lat | 1.6 | 0.178 |
| Tatoeba-test.lad-por.lad.por | 8.8 | 0.394 |
| Tatoeba-test.lad-ron.lad.ron | 78.3 | 0.717 |
| Tatoeba-test.lad-spa.lad.spa | 28.3 | 0.531 |
| Tatoeba-test.lat-fra.lat.fra | 9.4 | 0.300 |
| Tatoeba-test.lat-ita.lat.ita | 20.0 | 0.421 |
| Tatoeba-test.lat-lad.lat.lad | 3.8 | 0.173 |
| Tatoeba-test.lat-por.lat.por | 13.0 | 0.354 |
| Tatoeba-test.lat-ron.lat.ron | 14.0 | 0.358 |
| Tatoeba-test.lat-spa.lat.spa | 21.8 | 0.436 |
| Tatoeba-test.lij-fra.lij.fra | 13.8 | 0.346 |
| Tatoeba-test.lij-ita.lij.ita | 14.7 | 0.442 |
| Tatoeba-test.lld-fra.lld.fra | 18.8 | 0.428 |
| Tatoeba-test.lld-spa.lld.spa | 11.1 | 0.377 |
| Tatoeba-test.lmo-fra.lmo.fra | 11.0 | 0.329 |
| Tatoeba-test.msa-fra.msa.fra | 0.8 | 0.129 |
| Tatoeba-test.msa-ita.msa.ita | 1.1 | 0.138 |
| Tatoeba-test.msa-msa.msa.msa | 19.1 | 0.453 |
| Tatoeba-test.msa-pap.msa.pap | 0.0 | 0.037 |
| Tatoeba-test.msa-por.msa.por | 2.4 | 0.155 |
| Tatoeba-test.msa-ron.msa.ron | 1.2 | 0.129 |
| Tatoeba-test.msa-spa.msa.spa | 1.0 | 0.139 |
| Tatoeba-test.multi.multi | 40.8 | 0.599 |
| Tatoeba-test.mwl-por.mwl.por | 35.4 | 0.561 |
| Tatoeba-test.oci-fra.oci.fra | 24.5 | 0.467 |
| Tatoeba-test.oci-ita.oci.ita | 23.3 | 0.493 |
| Tatoeba-test.oci-spa.oci.spa | 26.1 | 0.505 |
| Tatoeba-test.pap-fra.pap.fra | 31.0 | 0.629 |
| Tatoeba-test.pap-msa.pap.msa | 0.0 | 0.051 |
| Tatoeba-test.pcd-fra.pcd.fra | 13.8 | 0.381 |
| Tatoeba-test.pcd-spa.pcd.spa | 2.6 | 0.227 |
| Tatoeba-test.pms-cos.pms.cos | 3.4 | 0.217 |
| Tatoeba-test.pms-fra.pms.fra | 13.4 | 0.347 |
| Tatoeba-test.pms-ita.pms.ita | 13.0 | 0.373 |
| Tatoeba-test.pms-spa.pms.spa | 13.1 | 0.374 |
| Tatoeba-test.por-ast.por.ast | 100.0 | 1.000 |
| Tatoeba-test.por-cat.por.cat | 45.1 | 0.673 |
| Tatoeba-test.por-fra.por.fra | 52.5 | 0.698 |
| Tatoeba-test.por-gcf.por.gcf | 16.0 | 0.128 |
| Tatoeba-test.por-glg.por.glg | 57.5 | 0.750 |
| Tatoeba-test.por-ita.por.ita | 50.1 | 0.710 |
| Tatoeba-test.por-lad.por.lad | 15.7 | 0.341 |
| Tatoeba-test.por-lat.por.lat | 11.1 | 0.362 |
| Tatoeba-test.por-msa.por.msa | 2.4 | 0.136 |
| Tatoeba-test.por-mwl.por.mwl | 30.5 | 0.559 |
| Tatoeba-test.por-roh.por.roh | 0.0 | 0.132 |
| Tatoeba-test.por-ron.por.ron | 40.0 | 0.632 |
| Tatoeba-test.por-spa.por.spa | 58.6 | 0.756 |
| Tatoeba-test.roh-fra.roh.fra | 23.1 | 0.564 |
| Tatoeba-test.roh-por.roh.por | 21.4 | 0.347 |
| Tatoeba-test.roh-spa.roh.spa | 19.8 | 0.489 |
| Tatoeba-test.ron-cat.ron.cat | 59.5 | 0.854 |
| Tatoeba-test.ron-fra.ron.fra | 47.4 | 0.647 |
| Tatoeba-test.ron-ita.ron.ita | 45.7 | 0.683 |
| Tatoeba-test.ron-lad.ron.lad | 44.2 | 0.712 |
| Tatoeba-test.ron-lat.ron.lat | 14.8 | 0.449 |
| Tatoeba-test.ron-msa.ron.msa | 1.2 | 0.098 |
| Tatoeba-test.ron-por.ron.por | 42.7 | 0.650 |
| Tatoeba-test.ron-spa.ron.spa | 50.4 | 0.686 |
| Tatoeba-test.scn-fra.scn.fra | 2.4 | 0.180 |
| Tatoeba-test.scn-spa.scn.spa | 5.1 | 0.212 |
| Tatoeba-test.spa-arg.spa.arg | 10.8 | 0.267 |
| Tatoeba-test.spa-ast.spa.ast | 24.6 | 0.514 |
| Tatoeba-test.spa-cat.spa.cat | 61.6 | 0.783 |
| Tatoeba-test.spa-egl.spa.egl | 2.2 | 0.106 |
| Tatoeba-test.spa-fra.spa.fra | 51.1 | 0.683 |
| Tatoeba-test.spa-gcf.spa.gcf | 7.8 | 0.067 |
| Tatoeba-test.spa-glg.spa.glg | 62.8 | 0.776 |
| Tatoeba-test.spa-hat.spa.hat | 16.6 | 0.398 |
| Tatoeba-test.spa-ita.spa.ita | 51.8 | 0.718 |
| Tatoeba-test.spa-lad.spa.lad | 14.6 | 0.393 |
| Tatoeba-test.spa-lat.spa.lat | 21.5 | 0.486 |
| Tatoeba-test.spa-lld.spa.lld | 2.0 | 0.222 |
| Tatoeba-test.spa-msa.spa.msa | 0.8 | 0.113 |
| Tatoeba-test.spa-oci.spa.oci | 10.3 | 0.377 |
| Tatoeba-test.spa-pcd.spa.pcd | 0.9 | 0.115 |
| Tatoeba-test.spa-pms.spa.pms | 1.5 | 0.194 |
| Tatoeba-test.spa-por.spa.por | 49.4 | 0.698 |
| Tatoeba-test.spa-roh.spa.roh | 4.6 | 0.261 |
| Tatoeba-test.spa-ron.spa.ron | 39.1 | 0.618 |
| Tatoeba-test.spa-scn.spa.scn | 2.0 | 0.113 |
| Tatoeba-test.spa-wln.spa.wln | 8.7 | 0.295 |
| Tatoeba-test.srd-fra.srd.fra | 6.7 | 0.369 |
| Tatoeba-test.vec-fra.vec.fra | 59.9 | 0.608 |
| Tatoeba-test.vec-ita.vec.ita | 14.2 | 0.405 |
| Tatoeba-test.wln-fra.wln.fra | 8.9 | 0.344 |
| Tatoeba-test.wln-spa.wln.spa | 9.6 | 0.298 |
### System Info:
- hf_name: itc-itc
- source_languages: itc
- target_languages: itc
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-itc/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']
- src_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'}
- 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: True
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.test.txt
- src_alpha3: itc
- tgt_alpha3: itc
- short_pair: itc-itc
- chrF2_score: 0.599
- bleu: 40.8
- brevity_penalty: 0.968
- ref_len: 77448.0
- src_name: Italic languages
- tgt_name: Italic languages
- train_date: 2020-07-07
- src_alpha2: itc
- tgt_alpha2: itc
- prefer_old: False
- long_pair: itc-itc
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-itc-itc | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"ca",
"rm",
"es",
"ro",
"gl",
"sc",
"co",
"wa",
"pt",
"oc",
"an",
"id",
"fr",
"ht",
"itc",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-ara
* source group: Japanese
* target group: Arabic
* OPUS readme: [jpn-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ara/README.md)
* model: transformer-align
* source language(s): jpn_Hani jpn_Hira jpn_Kana
* target language(s): acm apc ara arq arz
* model: transformer-align
* 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-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.ara | 11.6 | 0.394 |
### System Info:
- hf_name: jpn-ara
- source_languages: jpn
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'ar']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- 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/jpn-ara/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: ara
- short_pair: ja-ar
- chrF2_score: 0.39399999999999996
- bleu: 11.6
- brevity_penalty: 1.0
- ref_len: 7089.0
- src_name: Japanese
- tgt_name: Arabic
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: ar
- prefer_old: False
- long_pair: jpn-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "ar"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-ar | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-bul
* source group: Japanese
* target group: Bulgarian
* OPUS readme: [jpn-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-bul/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_Hira jpn_Kana
* target language(s): bul
* 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/jpn-bul/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-bul/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-bul/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.bul | 20.2 | 0.422 |
### System Info:
- hf_name: jpn-bul
- source_languages: jpn
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'bg']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- 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/jpn-bul/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-bul/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: bul
- short_pair: ja-bg
- chrF2_score: 0.42200000000000004
- bleu: 20.2
- brevity_penalty: 0.9570000000000001
- ref_len: 2346.0
- src_name: Japanese
- tgt_name: Bulgarian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: bg
- prefer_old: False
- long_pair: jpn-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "bg"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-bg | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"bg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-dan
* source group: Japanese
* target group: Danish
* OPUS readme: [jpn-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-dan/README.md)
* model: transformer-align
* source language(s): jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): dan
* 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/jpn-dan/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.dan | 43.2 | 0.590 |
### System Info:
- hf_name: jpn-dan
- source_languages: jpn
- target_languages: dan
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-dan/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'da']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'dan'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: dan
- short_pair: ja-da
- chrF2_score: 0.59
- bleu: 43.2
- brevity_penalty: 0.972
- ref_len: 5823.0
- src_name: Japanese
- tgt_name: Danish
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: da
- prefer_old: False
- long_pair: jpn-dan
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "da"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-da | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"da",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ja-de
* source languages: ja
* target languages: de
* OPUS readme: [ja-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-de/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/ja-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.de | 30.1 | 0.518 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ja-en
* source languages: ja
* target languages: en
* OPUS readme: [ja-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-en/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/ja-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-en/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.en | 41.7 | 0.589 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ja-es
* source languages: ja
* target languages: es
* OPUS readme: [ja-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.es | 34.6 | 0.553 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ja-fi
* source languages: ja
* target languages: fi
* OPUS readme: [ja-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.fi | 21.2 | 0.448 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ja-fr
* source languages: ja
* target languages: fr
* OPUS readme: [ja-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.fr | 33.6 | 0.534 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-heb
* source group: Japanese
* target group: Hebrew
* OPUS readme: [jpn-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-heb/README.md)
* model: transformer-align
* source language(s): jpn_Hani jpn_Hira jpn_Kana
* target language(s): heb
* 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/jpn-heb/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.heb | 20.2 | 0.397 |
### System Info:
- hf_name: jpn-heb
- source_languages: jpn
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'he']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: heb
- short_pair: ja-he
- chrF2_score: 0.397
- bleu: 20.2
- brevity_penalty: 1.0
- ref_len: 1598.0
- src_name: Japanese
- tgt_name: Hebrew
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: he
- prefer_old: False
- long_pair: jpn-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "he"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-he | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"he",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-hun
* source group: Japanese
* target group: Hungarian
* OPUS readme: [jpn-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hun/README.md)
* model: transformer-align
* source language(s): jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Yiii
* target language(s): hun
* 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/jpn-hun/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.hun | 12.2 | 0.364 |
### System Info:
- hf_name: jpn-hun
- source_languages: jpn
- target_languages: hun
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hun/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'hu']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'hun'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: hun
- short_pair: ja-hu
- chrF2_score: 0.364
- bleu: 12.2
- brevity_penalty: 1.0
- ref_len: 18625.0
- src_name: Japanese
- tgt_name: Hungarian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: hu
- prefer_old: False
- long_pair: jpn-hun
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "hu"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-hu | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"hu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-ita
* source group: Japanese
* target group: Italian
* OPUS readme: [jpn-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ita/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): ita
* 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/jpn-ita/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.ita | 22.8 | 0.460 |
### System Info:
- hf_name: jpn-ita
- source_languages: jpn
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'it']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: ita
- short_pair: ja-it
- chrF2_score: 0.46
- bleu: 22.8
- brevity_penalty: 0.9540000000000001
- ref_len: 21500.0
- src_name: Japanese
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: it
- prefer_old: False
- long_pair: jpn-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "it"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-it | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"it",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-msa
* source group: Japanese
* target group: Malay (macrolanguage)
* OPUS readme: [jpn-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-msa/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_Hira jpn_Kana
* target language(s): ind zlm_Latn zsm_Latn
* model: transformer-align
* 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-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.msa | 21.5 | 0.469 |
### System Info:
- hf_name: jpn-msa
- source_languages: jpn
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'ms']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: msa
- short_pair: ja-ms
- chrF2_score: 0.469
- bleu: 21.5
- brevity_penalty: 0.9259999999999999
- ref_len: 17028.0
- src_name: Japanese
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: ms
- prefer_old: False
- long_pair: jpn-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "ms"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-ms | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"ms",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-nld
* source group: Japanese
* target group: Dutch
* OPUS readme: [jpn-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-nld/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_Hira jpn_Kana jpn_Latn
* target language(s): nld
* 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/jpn-nld/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.nld | 34.7 | 0.534 |
### System Info:
- hf_name: jpn-nld
- source_languages: jpn
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'nl']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: nld
- short_pair: ja-nl
- chrF2_score: 0.534
- bleu: 34.7
- brevity_penalty: 0.938
- ref_len: 25849.0
- src_name: Japanese
- tgt_name: Dutch
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: nl
- prefer_old: False
- long_pair: jpn-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "nl"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-nl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"nl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-pol
* source group: Japanese
* target group: Polish
* OPUS readme: [jpn-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-pol/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn
* target language(s): pol
* 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/jpn-pol/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.pol | 15.7 | 0.386 |
### System Info:
- hf_name: jpn-pol
- source_languages: jpn
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'pl']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: pol
- short_pair: ja-pl
- chrF2_score: 0.386
- bleu: 15.7
- brevity_penalty: 1.0
- ref_len: 69904.0
- src_name: Japanese
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: pl
- prefer_old: False
- long_pair: jpn-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "pl"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-pl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"pl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-por
* source group: Japanese
* target group: Portuguese
* OPUS readme: [jpn-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-por/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): por por_Hira
* model: transformer-align
* 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-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.por | 22.2 | 0.444 |
### System Info:
- hf_name: jpn-por
- source_languages: jpn
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'pt']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: por
- short_pair: ja-pt
- chrF2_score: 0.444
- bleu: 22.2
- brevity_penalty: 0.922
- ref_len: 15570.0
- src_name: Japanese
- tgt_name: Portuguese
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: pt
- prefer_old: False
- long_pair: jpn-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "pt"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-pt | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"pt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-rus
* source group: Japanese
* target group: Russian
* OPUS readme: [jpn-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-rus/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): rus
* 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/jpn-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.rus | 23.2 | 0.441 |
### System Info:
- hf_name: jpn-rus
- source_languages: jpn
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'ru']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: rus
- short_pair: ja-ru
- chrF2_score: 0.441
- bleu: 23.2
- brevity_penalty: 0.9740000000000001
- ref_len: 70820.0
- src_name: Japanese
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: ru
- prefer_old: False
- long_pair: jpn-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "ru"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-ru | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-hbs
* source group: Japanese
* target group: Serbo-Croatian
* OPUS readme: [jpn-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hbs/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn
* target language(s): bos_Latn hrv srp_Cyrl srp_Latn
* model: transformer-align
* 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-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.hbs | 22.6 | 0.447 |
### System Info:
- hf_name: jpn-hbs
- source_languages: jpn
- target_languages: hbs
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hbs/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'sh']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: hbs
- short_pair: ja-sh
- chrF2_score: 0.447
- bleu: 22.6
- brevity_penalty: 0.9620000000000001
- ref_len: 2525.0
- src_name: Japanese
- tgt_name: Serbo-Croatian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: sh
- prefer_old: False
- long_pair: jpn-hbs
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "sh"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-sh | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"sh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ja-sv
* source languages: ja
* target languages: sv
* OPUS readme: [ja-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.sv | 26.1 | 0.445 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-tur
* source group: Japanese
* target group: Turkish
* OPUS readme: [jpn-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-tur/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hang jpn_Hani jpn_Hira jpn_Kana jpn_Yiii
* target language(s): tur
* 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/jpn-tur/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.tur | 16.7 | 0.434 |
### System Info:
- hf_name: jpn-tur
- source_languages: jpn
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'tr']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: tur
- short_pair: ja-tr
- chrF2_score: 0.434
- bleu: 16.7
- brevity_penalty: 0.932
- ref_len: 4755.0
- src_name: Japanese
- tgt_name: Turkish
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: tr
- prefer_old: False
- long_pair: jpn-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "tr"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-tr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"tr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### jpn-vie
* source group: Japanese
* target group: Vietnamese
* OPUS readme: [jpn-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-vie/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hang jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): vie
* 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/jpn-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.vie | 20.3 | 0.380 |
### System Info:
- hf_name: jpn-vie
- source_languages: jpn
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'vi']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'vie', 'vie_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: vie
- short_pair: ja-vi
- chrF2_score: 0.38
- bleu: 20.3
- brevity_penalty: 0.909
- ref_len: 10779.0
- src_name: Japanese
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: vi
- prefer_old: False
- long_pair: jpn-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ja", "vi"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ja-vi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ja",
"vi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-jap-en
* source languages: jap
* target languages: en
* OPUS readme: [jap-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/jap-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/jap-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/jap-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/jap-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| bible-uedin.jap.en | 52.6 | 0.703 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-jap-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"jap",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### kat-eng
* source group: Georgian
* target group: English
* OPUS readme: [kat-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-eng/README.md)
* model: transformer-align
* source language(s): kat
* target language(s): eng
* 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/kat-eng/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kat.eng | 37.9 | 0.538 |
### System Info:
- hf_name: kat-eng
- source_languages: kat
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ka', 'en']
- src_constituents: {'kat'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.test.txt
- src_alpha3: kat
- tgt_alpha3: eng
- short_pair: ka-en
- chrF2_score: 0.5379999999999999
- bleu: 37.9
- brevity_penalty: 0.991
- ref_len: 5992.0
- src_name: Georgian
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: ka
- tgt_alpha2: en
- prefer_old: False
- long_pair: kat-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ka", "en"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ka-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ka",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### kat-rus
* source group: Georgian
* target group: Russian
* OPUS readme: [kat-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-rus/README.md)
* model: transformer-align
* source language(s): kat
* target language(s): rus
* 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/kat-rus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kat.rus | 38.2 | 0.604 |
### System Info:
- hf_name: kat-rus
- source_languages: kat
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ka', 'ru']
- src_constituents: {'kat'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.test.txt
- src_alpha3: kat
- tgt_alpha3: rus
- short_pair: ka-ru
- chrF2_score: 0.604
- bleu: 38.2
- brevity_penalty: 0.996
- ref_len: 3899.0
- src_name: Georgian
- tgt_name: Russian
- train_date: 2020-06-16
- src_alpha2: ka
- tgt_alpha2: ru
- prefer_old: False
- long_pair: kat-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ka", "ru"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ka-ru | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ka",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kab-en
* source languages: kab
* target languages: en
* OPUS readme: [kab-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kab-en/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/kab-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kab-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kab-en/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.kab.en | 27.5 | 0.408 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kab-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kab",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kg-en
* source languages: kg
* target languages: en
* OPUS readme: [kg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kg.en | 35.4 | 0.508 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kg-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kg",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kg-es
* source languages: kg
* target languages: es
* OPUS readme: [kg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kg.es | 22.4 | 0.402 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kg-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kg",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kg-fr
* source languages: kg
* target languages: fr
* OPUS readme: [kg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kg.fr | 26.0 | 0.433 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kg-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kg",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kg-sv
* source languages: kg
* target languages: sv
* OPUS readme: [kg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kg.sv | 26.3 | 0.440 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kg-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kg",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kj-en
* source languages: kj
* target languages: en
* OPUS readme: [kj-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kj-en/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/kj-en/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kj-en/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kj-en/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kj.en | 30.3 | 0.477 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kj-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kj",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kl-en
* source languages: kl
* target languages: en
* OPUS readme: [kl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kl-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kl-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kl-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kl-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kl.en | 26.4 | 0.432 |
| Tatoeba.kl.en | 35.5 | 0.443 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kl-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kl",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ko-de
* source languages: ko
* target languages: de
* OPUS readme: [ko-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ko-de/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/ko-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ko.de | 30.2 | 0.523 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ko-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ko",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### kor-eng
* source group: Korean
* target group: English
* OPUS readme: [kor-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md)
* model: transformer-align
* source language(s): kor kor_Hang kor_Latn
* target language(s): eng
* 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/kor-eng/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.eng | 41.3 | 0.588 |
### System Info:
- hf_name: kor-eng
- source_languages: kor
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'en']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: eng
- short_pair: ko-en
- chrF2_score: 0.588
- bleu: 41.3
- brevity_penalty: 0.9590000000000001
- ref_len: 17711.0
- src_name: Korean
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: en
- prefer_old: False
- long_pair: kor-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ko", "en"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ko-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ko",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### kor-spa
* source group: Korean
* target group: Spanish
* OPUS readme: [kor-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-spa/README.md)
* model: transformer-align
* source language(s): kor kor_Hang kor_Latn
* target language(s): spa
* 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/kor-spa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.spa | 31.3 | 0.521 |
### System Info:
- hf_name: kor-spa
- source_languages: kor
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'es']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: spa
- short_pair: ko-es
- chrF2_score: 0.521
- bleu: 31.3
- brevity_penalty: 0.95
- ref_len: 6805.0
- src_name: Korean
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: es
- prefer_old: False
- long_pair: kor-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ko", "es"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ko-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ko",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### kor-fin
* source group: Korean
* target group: Finnish
* OPUS readme: [kor-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fin/README.md)
* model: transformer-align
* source language(s): kor kor_Hang kor_Latn
* target language(s): fin
* 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/kor-fin/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.fin | 26.6 | 0.502 |
### System Info:
- hf_name: kor-fin
- source_languages: kor
- target_languages: fin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'fi']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'fin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: fin
- short_pair: ko-fi
- chrF2_score: 0.502
- bleu: 26.6
- brevity_penalty: 0.892
- ref_len: 2251.0
- src_name: Korean
- tgt_name: Finnish
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: fi
- prefer_old: False
- long_pair: kor-fin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ko", "fi"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ko-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ko",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### kor-fra
* source group: Korean
* target group: French
* OPUS readme: [kor-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fra/README.md)
* model: transformer-align
* source language(s): kor kor_Hang kor_Hani kor_Latn
* target language(s): fra
* 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/kor-fra/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.fra | 30.4 | 0.503 |
### System Info:
- hf_name: kor-fra
- source_languages: kor
- target_languages: fra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'fr']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'fra'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: fra
- short_pair: ko-fr
- chrF2_score: 0.503
- bleu: 30.4
- brevity_penalty: 0.9179999999999999
- ref_len: 2714.0
- src_name: Korean
- tgt_name: French
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: fr
- prefer_old: False
- long_pair: kor-fra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ko", "fr"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ko-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ko",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### kor-hun
* source group: Korean
* target group: Hungarian
* OPUS readme: [kor-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-hun/README.md)
* model: transformer-align
* source language(s): kor kor_Hang kor_Latn
* target language(s): hun
* 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/kor-hun/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.hun | 28.6 | 0.520 |
### System Info:
- hf_name: kor-hun
- source_languages: kor
- target_languages: hun
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-hun/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'hu']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'hun'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: hun
- short_pair: ko-hu
- chrF2_score: 0.52
- bleu: 28.6
- brevity_penalty: 0.905
- ref_len: 1615.0
- src_name: Korean
- tgt_name: Hungarian
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: hu
- prefer_old: False
- long_pair: kor-hun
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ko", "hu"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ko-hu | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ko",
"hu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### kor-rus
* source group: Korean
* target group: Russian
* OPUS readme: [kor-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-rus/README.md)
* model: transformer-align
* source language(s): kor_Hang kor_Latn
* target language(s): rus
* 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/kor-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.rus | 30.3 | 0.514 |
### System Info:
- hf_name: kor-rus
- source_languages: kor
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'ru']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: rus
- short_pair: ko-ru
- chrF2_score: 0.514
- bleu: 30.3
- brevity_penalty: 0.961
- ref_len: 1382.0
- src_name: Korean
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: ru
- prefer_old: False
- long_pair: kor-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ko", "ru"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ko-ru | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ko",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ko-sv
* source languages: ko
* target languages: sv
* OPUS readme: [ko-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ko-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ko-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ko.sv | 26.5 | 0.468 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ko-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ko",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kqn-en
* source languages: kqn
* target languages: en
* OPUS readme: [kqn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kqn-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.en | 32.6 | 0.480 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kqn-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kqn",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kqn-es
* source languages: kqn
* target languages: es
* OPUS readme: [kqn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.es | 20.9 | 0.378 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kqn-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kqn",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kqn-fr
* source languages: kqn
* target languages: fr
* OPUS readme: [kqn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.fr | 23.2 | 0.400 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kqn-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kqn",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kqn-sv
* source languages: kqn
* target languages: sv
* OPUS readme: [kqn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kqn-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.sv | 23.3 | 0.409 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kqn-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kqn",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kwn-en
* source languages: kwn
* target languages: en
* OPUS readme: [kwn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwn-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwn-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwn-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwn-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kwn.en | 27.5 | 0.434 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kwn-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kwn",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kwy-en
* source languages: kwy
* target languages: en
* OPUS readme: [kwy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwy-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kwy.en | 31.6 | 0.466 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kwy-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kwy",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kwy-fr
* source languages: kwy
* target languages: fr
* OPUS readme: [kwy-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kwy.fr | 20.6 | 0.367 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kwy-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kwy",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-kwy-sv
* source languages: kwy
* target languages: sv
* OPUS readme: [kwy-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kwy.sv | 20.2 | 0.373 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-kwy-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"kwy",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lg-en
* source languages: lg
* target languages: en
* OPUS readme: [lg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lg-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lg.en | 32.6 | 0.480 |
| Tatoeba.lg.en | 5.4 | 0.243 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lg-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lg",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lg-es
* source languages: lg
* target languages: es
* OPUS readme: [lg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lg-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lg.es | 22.1 | 0.393 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lg-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lg",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lg-fi
* source languages: lg
* target languages: fi
* OPUS readme: [lg-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/lg-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lg.fi | 21.8 | 0.424 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lg-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lg",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lg-fr
* source languages: lg
* target languages: fr
* OPUS readme: [lg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lg-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lg.fr | 23.7 | 0.406 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lg-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lg",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lg-sv
* source languages: lg
* target languages: sv
* OPUS readme: [lg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lg-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lg.sv | 24.5 | 0.423 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lg-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lg",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ln-de
* source languages: ln
* target languages: de
* OPUS readme: [ln-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ln.de | 23.3 | 0.428 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ln-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ln",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ln-en
* source languages: ln
* target languages: en
* OPUS readme: [ln-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ln.en | 35.9 | 0.516 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ln-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ln",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ln-es
* source languages: ln
* target languages: es
* OPUS readme: [ln-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ln.es | 26.5 | 0.444 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ln-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ln",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ln-fr
* source languages: ln
* target languages: fr
* OPUS readme: [ln-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ln.fr | 28.4 | 0.456 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ln-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ln",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-loz-de
* source languages: loz
* target languages: de
* OPUS readme: [loz-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.loz.de | 24.3 | 0.438 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-loz-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"loz",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-loz-en
* source languages: loz
* target languages: en
* OPUS readme: [loz-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.loz.en | 42.1 | 0.565 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-loz-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"loz",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-loz-es
* source languages: loz
* target languages: es
* OPUS readme: [loz-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.loz.es | 28.4 | 0.464 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-loz-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"loz",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-loz-fi
* source languages: loz
* target languages: fi
* OPUS readme: [loz-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.loz.fi | 25.1 | 0.467 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-loz-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"loz",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-loz-fr
* source languages: loz
* target languages: fr
* OPUS readme: [loz-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.loz.fr | 28.5 | 0.462 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-loz-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"loz",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-loz-sv
* source languages: loz
* target languages: sv
* OPUS readme: [loz-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.loz.sv | 30.0 | 0.477 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-loz-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"loz",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lt-de
* source languages: lt
* target languages: de
* OPUS readme: [lt-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.lt.de | 45.2 | 0.640 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lt-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lt",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### lit-epo
* source group: Lithuanian
* target group: Esperanto
* OPUS readme: [lit-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-epo/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): epo
* 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/lit-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.epo | 13.0 | 0.313 |
### System Info:
- hf_name: lit-epo
- source_languages: lit
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'eo']
- src_constituents: {'lit'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.test.txt
- src_alpha3: lit
- tgt_alpha3: epo
- short_pair: lt-eo
- chrF2_score: 0.313
- bleu: 13.0
- brevity_penalty: 1.0
- ref_len: 70340.0
- src_name: Lithuanian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: lt
- tgt_alpha2: eo
- prefer_old: False
- long_pair: lit-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["lt", "eo"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lt-eo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lt",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### lit-spa
* source group: Lithuanian
* target group: Spanish
* OPUS readme: [lit-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-spa/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): spa
* 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/lit-spa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.spa | 50.5 | 0.680 |
### System Info:
- hf_name: lit-spa
- source_languages: lit
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'es']
- src_constituents: {'lit'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: spa
- short_pair: lt-es
- chrF2_score: 0.68
- bleu: 50.5
- brevity_penalty: 0.963
- ref_len: 2738.0
- src_name: Lithuanian
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: es
- prefer_old: False
- long_pair: lit-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["lt", "es"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lt-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lt",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lt-fr
* source languages: lt
* target languages: fr
* OPUS readme: [lt-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lt-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lt.fr | 22.0 | 0.428 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lt-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lt",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### lit-ita
* source group: Lithuanian
* target group: Italian
* OPUS readme: [lit-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-ita/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): ita
* 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/lit-ita/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.ita | 42.2 | 0.657 |
### System Info:
- hf_name: lit-ita
- source_languages: lit
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'it']
- src_constituents: {'lit'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: ita
- short_pair: lt-it
- chrF2_score: 0.657
- bleu: 42.2
- brevity_penalty: 0.9740000000000001
- ref_len: 1505.0
- src_name: Lithuanian
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: it
- prefer_old: False
- long_pair: lit-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["lt", "it"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lt-it | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lt",
"it",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### lit-pol
* source group: Lithuanian
* target group: Polish
* OPUS readme: [lit-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-pol/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): pol
* 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/lit-pol/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.pol | 53.6 | 0.721 |
### System Info:
- hf_name: lit-pol
- source_languages: lit
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'pl']
- src_constituents: {'lit'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: pol
- short_pair: lt-pl
- chrF2_score: 0.721
- bleu: 53.6
- brevity_penalty: 0.9570000000000001
- ref_len: 10629.0
- src_name: Lithuanian
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: pl
- prefer_old: False
- long_pair: lit-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["lt", "pl"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lt-pl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lt",
"pl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### lit-rus
* source group: Lithuanian
* target group: Russian
* OPUS readme: [lit-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-rus/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): rus
* 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/lit-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.rus | 51.7 | 0.695 |
### System Info:
- hf_name: lit-rus
- source_languages: lit
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'ru']
- src_constituents: {'lit'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: rus
- short_pair: lt-ru
- chrF2_score: 0.695
- bleu: 51.7
- brevity_penalty: 0.982
- ref_len: 15395.0
- src_name: Lithuanian
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: ru
- prefer_old: False
- long_pair: lit-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["lt", "ru"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lt-ru | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lt",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lt-sv
* source languages: lt
* target languages: sv
* OPUS readme: [lt-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lt.sv | 22.9 | 0.447 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lt-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lt",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### lit-tur
* source group: Lithuanian
* target group: Turkish
* OPUS readme: [lit-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-tur/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): tur
* 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/lit-tur/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.tur | 35.8 | 0.648 |
### System Info:
- hf_name: lit-tur
- source_languages: lit
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'tr']
- src_constituents: {'lit'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: tur
- short_pair: lt-tr
- chrF2_score: 0.648
- bleu: 35.8
- brevity_penalty: 0.927
- ref_len: 7700.0
- src_name: Lithuanian
- tgt_name: Turkish
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: tr
- prefer_old: False
- long_pair: lit-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["lt", "tr"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lt-tr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lt",
"tr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lu-en
* source languages: lu
* target languages: en
* OPUS readme: [lu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lu.en | 35.7 | 0.517 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lu-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lu",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lu-es
* source languages: lu
* target languages: es
* OPUS readme: [lu-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lu.es | 22.4 | 0.400 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lu-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lu",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lu-fi
* source languages: lu
* target languages: fi
* OPUS readme: [lu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lu.fi | 21.4 | 0.442 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lu-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lu",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lu-fr
* source languages: lu
* target languages: fr
* OPUS readme: [lu-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lu.fr | 26.4 | 0.431 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lu-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lu",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lu-sv
* source languages: lu
* target languages: sv
* OPUS readme: [lu-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lu.sv | 25.4 | 0.435 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lu-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lu",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lua-en
* source languages: lua
* target languages: en
* OPUS readme: [lua-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lua.en | 34.4 | 0.502 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lua-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lua",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lua-es
* source languages: lua
* target languages: es
* OPUS readme: [lua-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lua.es | 23.1 | 0.409 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lua-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lua",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lua-fi
* source languages: lua
* target languages: fi
* OPUS readme: [lua-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lua.fi | 23.5 | 0.450 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lua-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lua",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lua-fr
* source languages: lua
* target languages: fr
* OPUS readme: [lua-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lua.fr | 25.7 | 0.429 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lua-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lua",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lua-sv
* source languages: lua
* target languages: sv
* OPUS readme: [lua-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lua.sv | 25.7 | 0.437 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lua-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lua",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-lue-en
* source languages: lue
* target languages: en
* OPUS readme: [lue-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lue.en | 31.7 | 0.469 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-lue-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"lue",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
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