metadata
language:
- ast
- ca
- es
- fr
- gl
- it
- lad
- oc
- pms
- pt
- ro
- multilingual
license: cc-by-4.0
tags:
- translation
- opus-mt-tc
model-index:
- name: opus-mt-tc-big-itc-itc
results:
- task:
type: translation
name: Translation ast-cat
dataset:
name: flores101-devtest
type: flores_101
args: ast cat devtest
metrics:
- type: bleu
value: 31.8
name: BLEU
- type: chrf
value: 0.5787
name: chr-F
- type: bleu
value: 31.1
name: BLEU
- type: chrf
value: 0.56761
name: chr-F
- type: bleu
value: 27.9
name: BLEU
- type: chrf
value: 0.55161
name: chr-F
- type: bleu
value: 22.1
name: BLEU
- type: chrf
value: 0.51764
name: chr-F
- type: bleu
value: 20.6
name: BLEU
- type: chrf
value: 0.49545
name: chr-F
- type: bleu
value: 31.5
name: BLEU
- type: chrf
value: 0.57347
name: chr-F
- type: bleu
value: 24.8
name: BLEU
- type: chrf
value: 0.52317
name: chr-F
- type: bleu
value: 21.2
name: BLEU
- type: chrf
value: 0.49741
name: chr-F
- type: bleu
value: 24.7
name: BLEU
- type: chrf
value: 0.56754
name: chr-F
- type: bleu
value: 38.4
name: BLEU
- type: chrf
value: 0.63368
name: chr-F
- type: bleu
value: 32.2
name: BLEU
- type: chrf
value: 0.59596
name: chr-F
- type: bleu
value: 26.3
name: BLEU
- type: chrf
value: 0.55886
name: chr-F
- type: bleu
value: 24.6
name: BLEU
- type: chrf
value: 0.54285
name: chr-F
- type: bleu
value: 37.7
name: BLEU
- type: chrf
value: 0.62913
name: chr-F
- type: bleu
value: 29.5
name: BLEU
- type: chrf
value: 0.56885
name: chr-F
- type: bleu
value: 24.6
name: BLEU
- type: chrf
value: 0.53372
name: chr-F
- type: bleu
value: 20.7
name: BLEU
- type: chrf
value: 0.52696
name: chr-F
- type: bleu
value: 34.6
name: BLEU
- type: chrf
value: 0.60492
name: chr-F
- type: bleu
value: 30.3
name: BLEU
- type: chrf
value: 0.57485
name: chr-F
- type: bleu
value: 27.3
name: BLEU
- type: chrf
value: 0.56493
name: chr-F
- type: bleu
value: 28.2
name: BLEU
- type: chrf
value: 0.57449
name: chr-F
- type: bleu
value: 36.9
name: BLEU
- type: chrf
value: 0.62211
name: chr-F
- type: bleu
value: 29.4
name: BLEU
- type: chrf
value: 0.56998
name: chr-F
- type: bleu
value: 24.2
name: BLEU
- type: chrf
value: 0.5288
name: chr-F
- type: bleu
value: 22.4
name: BLEU
- type: chrf
value: 0.5509
name: chr-F
- type: bleu
value: 32.6
name: BLEU
- type: chrf
value: 0.6055
name: chr-F
- type: bleu
value: 36
name: BLEU
- type: chrf
value: 0.62026
name: chr-F
- type: bleu
value: 25.9
name: BLEU
- type: chrf
value: 0.55834
name: chr-F
- type: bleu
value: 21.9
name: BLEU
- type: chrf
value: 0.5252
name: chr-F
- type: bleu
value: 32.7
name: BLEU
- type: chrf
value: 0.60027
name: chr-F
- type: bleu
value: 27.8
name: BLEU
- type: chrf
value: 0.55621
name: chr-F
- type: bleu
value: 24.4
name: BLEU
- type: chrf
value: 0.53219
name: chr-F
- type: bleu
value: 17.1
name: BLEU
- type: chrf
value: 0.50741
name: chr-F
- type: bleu
value: 27.9
name: BLEU
- type: chrf
value: 0.57061
name: chr-F
- type: bleu
value: 32
name: BLEU
- type: chrf
value: 0.60199
name: chr-F
- type: bleu
value: 25.9
name: BLEU
- type: chrf
value: 0.55312
name: chr-F
- type: bleu
value: 18.1
name: BLEU
- type: chrf
value: 0.48447
name: chr-F
- type: bleu
value: 29
name: BLEU
- type: chrf
value: 0.58162
name: chr-F
- type: bleu
value: 24.2
name: BLEU
- type: chrf
value: 0.53703
name: chr-F
- type: bleu
value: 23.1
name: BLEU
- type: chrf
value: 0.52238
name: chr-F
- type: bleu
value: 20.2
name: BLEU
- type: chrf
value: 0.5301
name: chr-F
- type: bleu
value: 32.2
name: BLEU
- type: chrf
value: 0.59946
name: chr-F
- type: bleu
value: 39
name: BLEU
- type: chrf
value: 0.6429
name: chr-F
- type: bleu
value: 28
name: BLEU
- type: chrf
value: 0.56737
name: chr-F
- type: bleu
value: 24.2
name: BLEU
- type: chrf
value: 0.5422
name: chr-F
- type: bleu
value: 35.7
name: BLEU
- type: chrf
value: 0.62127
name: chr-F
- type: bleu
value: 28
name: BLEU
- type: chrf
value: 0.55906
name: chr-F
- type: bleu
value: 22.8
name: BLEU
- type: chrf
value: 0.5211
name: chr-F
- type: bleu
value: 22.5
name: BLEU
- type: chrf
value: 0.54539
name: chr-F
- type: bleu
value: 36.4
name: BLEU
- type: chrf
value: 0.61809
name: chr-F
- type: bleu
value: 39.7
name: BLEU
- type: chrf
value: 0.64343
name: chr-F
- type: bleu
value: 30.4
name: BLEU
- type: chrf
value: 0.57965
name: chr-F
- type: bleu
value: 26.3
name: BLEU
- type: chrf
value: 0.55841
name: chr-F
- type: bleu
value: 25.3
name: BLEU
- type: chrf
value: 0.54829
name: chr-F
- type: bleu
value: 29.8
name: BLEU
- type: chrf
value: 0.57283
name: chr-F
- type: bleu
value: 25.2
name: BLEU
- type: chrf
value: 0.53513
name: chr-F
- type: bleu
value: 20.1
name: BLEU
- type: chrf
value: 0.52265
name: chr-F
- type: bleu
value: 32.6
name: BLEU
- type: chrf
value: 0.59689
name: chr-F
- type: bleu
value: 37.4
name: BLEU
- type: chrf
value: 0.6306
name: chr-F
- type: bleu
value: 29.3
name: BLEU
- type: chrf
value: 0.56677
name: chr-F
- type: bleu
value: 25.6
name: BLEU
- type: chrf
value: 0.55485
name: chr-F
- type: bleu
value: 21.8
name: BLEU
- type: chrf
value: 0.52433
name: chr-F
- type: bleu
value: 36.1
name: BLEU
- type: chrf
value: 0.61831
name: chr-F
- type: bleu
value: 24.1
name: BLEU
- type: chrf
value: 0.52712
name: chr-F
- type: bleu
value: 15.7
name: BLEU
- type: chrf
value: 0.49008
name: chr-F
- type: bleu
value: 23.2
name: BLEU
- type: chrf
value: 0.53905
name: chr-F
- type: bleu
value: 27.4
name: BLEU
- type: chrf
value: 0.57078
name: chr-F
- type: bleu
value: 22
name: BLEU
- type: chrf
value: 0.52563
name: chr-F
- type: bleu
value: 22.3
name: BLEU
- type: chrf
value: 0.52783
name: chr-F
- type: bleu
value: 16.3
name: BLEU
- type: chrf
value: 0.48064
name: chr-F
- type: bleu
value: 25.8
name: BLEU
- type: chrf
value: 0.55736
name: chr-F
- type: bleu
value: 21.4
name: BLEU
- type: chrf
value: 0.51623
name: chr-F
- task:
type: translation
name: Translation fra-spa
dataset:
name: news-test2008
type: news-test2008
args: fra-spa
metrics:
- type: bleu
value: 33.9
name: BLEU
- type: chrf
value: 0.58939
name: chr-F
- type: bleu
value: 32.4
name: BLEU
- type: chrf
value: 0.58695
name: chr-F
- task:
type: translation
name: Translation cat-fra
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: cat-fra
metrics:
- type: bleu
value: 54.6
name: BLEU
- type: chrf
value: 0.71201
name: chr-F
- type: bleu
value: 58.4
name: BLEU
- type: chrf
value: 0.74198
name: chr-F
- type: bleu
value: 57.4
name: BLEU
- type: chrf
value: 0.7493
name: chr-F
- type: bleu
value: 78.1
name: BLEU
- type: chrf
value: 0.87844
name: chr-F
- type: bleu
value: 46.2
name: BLEU
- type: chrf
value: 0.66525
name: chr-F
- type: bleu
value: 53.8
name: BLEU
- type: chrf
value: 0.72742
name: chr-F
- type: bleu
value: 48.6
name: BLEU
- type: chrf
value: 0.68413
name: chr-F
- type: bleu
value: 44
name: BLEU
- type: chrf
value: 0.65009
name: chr-F
- type: bleu
value: 54.8
name: BLEU
- type: chrf
value: 0.7208
name: chr-F
- type: bleu
value: 61.1
name: BLEU
- type: chrf
value: 0.7672
name: chr-F
- type: bleu
value: 71.7
name: BLEU
- type: chrf
value: 0.82362
name: chr-F
- type: bleu
value: 56.4
name: BLEU
- type: chrf
value: 0.72529
name: chr-F
- type: bleu
value: 65.2
name: BLEU
- type: chrf
value: 0.77932
name: chr-F
- type: bleu
value: 54
name: BLEU
- type: chrf
value: 0.72798
name: chr-F
- type: bleu
value: 51.1
name: BLEU
- type: chrf
value: 0.70814
name: chr-F
- type: bleu
value: 62.9
name: BLEU
- type: chrf
value: 0.77455
name: chr-F
- type: bleu
value: 34.7
name: BLEU
- type: chrf
value: 0.52243
name: chr-F
- type: bleu
value: 42.6
name: BLEU
- type: chrf
value: 0.59363
name: chr-F
- type: bleu
value: 29.6
name: BLEU
- type: chrf
value: 0.4966
name: chr-F
- type: bleu
value: 20
name: BLEU
- type: chrf
value: 0.40221
name: chr-F
- type: bleu
value: 52.2
name: BLEU
- type: chrf
value: 0.71146
name: chr-F
- type: bleu
value: 60.9
name: BLEU
- type: chrf
value: 0.75565
name: chr-F
- type: bleu
value: 59
name: BLEU
- type: chrf
value: 0.75348
name: chr-F
- type: bleu
value: 58.8
name: BLEU
- type: chrf
value: 0.76883
name: chr-F
- type: bleu
value: 46.6
name: BLEU
- type: chrf
value: 0.67838
name: chr-F
- type: bleu
value: 64.8
name: BLEU
- type: chrf
value: 0.79336
name: chr-F
- type: bleu
value: 55
name: BLEU
- type: chrf
value: 0.70307
name: chr-F
- type: bleu
value: 53.7
name: BLEU
- type: chrf
value: 0.73862
name: chr-F
- type: bleu
value: 50.7
name: BLEU
- type: chrf
value: 0.70889
name: chr-F
- type: bleu
value: 57.2
name: BLEU
- type: chrf
value: 0.73529
name: chr-F
- type: bleu
value: 67.9
name: BLEU
- type: chrf
value: 0.82758
name: chr-F
- type: bleu
value: 57.3
name: BLEU
- type: chrf
value: 0.73113
name: chr-F
- type: bleu
value: 63
name: BLEU
- type: chrf
value: 0.77332
name: chr-F
- type: bleu
value: 60.3
name: BLEU
- type: chrf
value: 0.77046
name: chr-F
- type: bleu
value: 59.1
name: BLEU
- type: chrf
value: 0.75854
name: chr-F
- type: bleu
value: 45.5
name: BLEU
- type: chrf
value: 0.66679
name: chr-F
- task:
type: translation
name: Translation fra-ita
dataset:
name: newstest2009
type: wmt-2009-news
args: fra-ita
metrics:
- type: bleu
value: 31.2
name: BLEU
- type: chrf
value: 0.59764
name: chr-F
- type: bleu
value: 32.5
name: BLEU
- type: chrf
value: 0.58829
name: chr-F
- type: bleu
value: 31.6
name: BLEU
- type: chrf
value: 0.59084
name: chr-F
- type: bleu
value: 33.5
name: BLEU
- type: chrf
value: 0.59669
name: chr-F
- type: bleu
value: 32.3
name: BLEU
- type: chrf
value: 0.59096
name: chr-F
- type: bleu
value: 33.2
name: BLEU
- type: chrf
value: 0.60783
name: chr-F
- task:
type: translation
name: Translation fra-spa
dataset:
name: newstest2010
type: wmt-2010-news
args: fra-spa
metrics:
- type: bleu
value: 37.8
name: BLEU
- type: chrf
value: 0.6225
name: chr-F
- type: bleu
value: 36.2
name: BLEU
- type: chrf
value: 0.61953
name: chr-F
- task:
type: translation
name: Translation fra-spa
dataset:
name: newstest2011
type: wmt-2011-news
args: fra-spa
metrics:
- type: bleu
value: 39.8
name: BLEU
- type: chrf
value: 0.62953
name: chr-F
- type: bleu
value: 34.9
name: BLEU
- type: chrf
value: 0.6113
name: chr-F
- task:
type: translation
name: Translation fra-spa
dataset:
name: newstest2012
type: wmt-2012-news
args: fra-spa
metrics:
- type: bleu
value: 39
name: BLEU
- type: chrf
value: 0.62397
name: chr-F
- type: bleu
value: 34.3
name: BLEU
- type: chrf
value: 0.60927
name: chr-F
- task:
type: translation
name: Translation fra-spa
dataset:
name: newstest2013
type: wmt-2013-news
args: fra-spa
metrics:
- type: bleu
value: 34.9
name: BLEU
- type: chrf
value: 0.59312
name: chr-F
- type: bleu
value: 33.6
name: BLEU
- type: chrf
value: 0.59468
name: chr-F
- task:
type: translation
name: Translation cat-ita
dataset:
name: wmt21-ml-wp
type: wmt21-ml-wp
args: cat-ita
metrics:
- type: bleu
value: 47.8
name: BLEU
- type: chrf
value: 0.69968
name: chr-F
- type: bleu
value: 51.6
name: BLEU
- type: chrf
value: 0.73808
name: chr-F
- type: bleu
value: 29
name: BLEU
- type: chrf
value: 0.51178
name: chr-F
- type: bleu
value: 48.9
name: BLEU
- type: chrf
value: 0.70538
name: chr-F
- type: bleu
value: 32
name: BLEU
- type: chrf
value: 0.59025
name: chr-F
- type: bleu
value: 28.9
name: BLEU
- type: chrf
value: 0.51261
name: chr-F
- type: bleu
value: 66.1
name: BLEU
- type: chrf
value: 0.80908
name: chr-F
- type: bleu
value: 39.6
name: BLEU
- type: chrf
value: 0.63584
name: chr-F
- type: bleu
value: 24.6
name: BLEU
- type: chrf
value: 0.47384
name: chr-F
- type: bleu
value: 31.1
name: BLEU
- type: chrf
value: 0.52994
name: chr-F
- type: bleu
value: 29.6
name: BLEU
- type: chrf
value: 0.52714
name: chr-F
- type: bleu
value: 21.3
name: BLEU
- type: chrf
value: 0.45932
name: chr-F
opus-mt-tc-big-itc-itc
Table of Contents
- Model Details
- Uses
- Risks, Limitations and Biases
- How to Get Started With the Model
- Training
- Evaluation
- Citation Information
- Acknowledgements
Model Details
Neural machine translation model for translating from Italic languages (itc) to Italic languages (itc).
This model is part of the OPUS-MT project, an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of Marian NMT, an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from OPUS and training pipelines use the procedures of OPUS-MT-train. Model Description:
- Developed by: Language Technology Research Group at the University of Helsinki
- Model Type: Translation (transformer-big)
- Release: 2022-08-10
- License: CC-BY-4.0
- Language(s):
- Source Language(s): ast cat cbk fra fro glg hat ita lad lad_Latn lat lat_Latn lij lld oci pms por ron spa
- Target Language(s): ast cat fra gcf glg hat ita lad lad_Latn lat lat_Latn oci por ron spa
- Language Pair(s): ast-cat ast-fra ast-glg ast-ita ast-oci ast-por ast-ron ast-spa cat-ast cat-fra cat-glg cat-ita cat-oci cat-por cat-ron cat-spa fra-ast fra-cat fra-glg fra-ita fra-oci fra-por fra-ron fra-spa glg-ast glg-cat glg-fra glg-ita glg-oci glg-por glg-ron glg-spa ita-ast ita-cat ita-fra ita-glg ita-oci ita-por ita-ron ita-spa lad-spa lad_Latn-spa oci-ast oci-cat oci-fra oci-glg oci-ita oci-por oci-ron oci-spa pms-ita por-ast por-cat por-fra por-glg por-ita por-oci por-ron por-spa ron-ast ron-cat ron-fra ron-glg ron-ita ron-oci ron-por ron-spa spa-cat spa-fra spa-glg spa-ita spa-por spa-ron
- Valid Target Language Labels: >>acf<< >>aoa<< >>arg<< >>ast<< >>cat<< >>cbk<< >>cbk_Latn<< >>ccd<< >>cks<< >>cos<< >>cri<< >>crs<< >>dlm<< >>drc<< >>egl<< >>ext<< >>fab<< >>fax<< >>fra<< >>frc<< >>frm<< >>frm_Latn<< >>fro<< >>fro_Latn<< >>frp<< >>fur<< >>fur_Latn<< >>gcf<< >>gcf_Latn<< >>gcr<< >>glg<< >>hat<< >>idb<< >>ist<< >>ita<< >>itk<< >>kea<< >>kmv<< >>lad<< >>lad_Latn<< >>lat<< >>lat_Grek<< >>lat_Latn<< >>lij<< >>lld<< >>lld_Latn<< >>lmo<< >>lou<< >>mcm<< >>mfe<< >>mol<< >>mwl<< >>mxi<< >>mzs<< >>nap<< >>nrf<< >>oci<< >>osc<< >>osp<< >>osp_Latn<< >>pap<< >>pcd<< >>pln<< >>pms<< >>pob<< >>por<< >>pov<< >>pre<< >>pro<< >>qbb<< >>qhr<< >>rcf<< >>rgn<< >>roh<< >>ron<< >>ruo<< >>rup<< >>ruq<< >>scf<< >>scn<< >>sdc<< >>sdn<< >>spa<< >>spq<< >>spx<< >>src<< >>srd<< >>sro<< >>tmg<< >>tvy<< >>vec<< >>vkp<< >>wln<< >>xfa<< >>xum<<
- Original Model: opusTCv20210807_transformer-big_2022-08-10.zip
- Resources for more information:
- OPUS-MT-train GitHub Repo
- More information about released models for this language pair: OPUS-MT itc-itc README
- More information about MarianNMT models in the transformers library
- [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/
This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of >>id<< (id = valid target language ID), e.g. >>ast<<
Uses
This model can be used for translation and text-to-text generation.
Risks, Limitations and Biases
CONTENT WARNING: Readers should be aware that the model is trained on various public data sets that may contain content that is disturbing, offensive, and can propagate historical and current stereotypes.
Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)).
How to Get Started With the Model
A short example code:
from transformers import MarianMTModel, MarianTokenizer
src_text = [
">>fra<< Charras angl�s?",
">>fra<< Vull veure't."
]
model_name = "pytorch-models/opus-mt-tc-big-itc-itc"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
for t in translated:
print( tokenizer.decode(t, skip_special_tokens=True) )
# expected output:
# Conversations anglaises ?
# Je veux te voir.
You can also use OPUS-MT models with the transformers pipelines, for example:
from transformers import pipeline
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-itc-itc")
print(pipe(">>fra<< Charras angl�s?"))
# expected output: Conversations anglaises ?
Training
- Data: opusTCv20210807 (source)
- Pre-processing: SentencePiece (spm32k,spm32k)
- Model Type: transformer-big
- Original MarianNMT Model: opusTCv20210807_transformer-big_2022-08-10.zip
- Training Scripts: GitHub Repo
Evaluation
- test set translations: opusTCv20210807_transformer-big_2022-08-10.test.txt
- test set scores: opusTCv20210807_transformer-big_2022-08-10.eval.txt
- benchmark results: benchmark_results.txt
- benchmark output: benchmark_translations.zip
| langpair | testset | chr-F | BLEU | #sent | #words |
|---|---|---|---|---|---|
| cat-fra | tatoeba-test-v2021-08-07 | 0.71201 | 54.6 | 700 | 5664 |
| cat-ita | tatoeba-test-v2021-08-07 | 0.74198 | 58.4 | 298 | 2028 |
| cat-por | tatoeba-test-v2021-08-07 | 0.74930 | 57.4 | 747 | 6119 |
| cat-spa | tatoeba-test-v2021-08-07 | 0.87844 | 78.1 | 1534 | 12094 |
| fra-cat | tatoeba-test-v2021-08-07 | 0.66525 | 46.2 | 700 | 5342 |
| fra-ita | tatoeba-test-v2021-08-07 | 0.72742 | 53.8 | 10091 | 62060 |
| fra-por | tatoeba-test-v2021-08-07 | 0.68413 | 48.6 | 10518 | 77650 |
| fra-ron | tatoeba-test-v2021-08-07 | 0.65009 | 44.0 | 1925 | 12252 |
| fra-spa | tatoeba-test-v2021-08-07 | 0.72080 | 54.8 | 10294 | 78406 |
| glg-por | tatoeba-test-v2021-08-07 | 0.76720 | 61.1 | 433 | 3105 |
| glg-spa | tatoeba-test-v2021-08-07 | 0.82362 | 71.7 | 2121 | 17443 |
| ita-cat | tatoeba-test-v2021-08-07 | 0.72529 | 56.4 | 298 | 2109 |
| ita-fra | tatoeba-test-v2021-08-07 | 0.77932 | 65.2 | 10091 | 66377 |
| ita-por | tatoeba-test-v2021-08-07 | 0.72798 | 54.0 | 3066 | 25668 |
| ita-ron | tatoeba-test-v2021-08-07 | 0.70814 | 51.1 | 1005 | 6209 |
| ita-spa | tatoeba-test-v2021-08-07 | 0.77455 | 62.9 | 5000 | 34937 |
| lad_Latn-spa | tatoeba-test-v2021-08-07 | 0.59363 | 42.6 | 239 | 1239 |
| lad-spa | tatoeba-test-v2021-08-07 | 0.52243 | 34.7 | 276 | 1448 |
| oci-fra | tatoeba-test-v2021-08-07 | 0.49660 | 29.6 | 806 | 6302 |
| pms-ita | tatoeba-test-v2021-08-07 | 0.40221 | 20.0 | 232 | 1721 |
| por-cat | tatoeba-test-v2021-08-07 | 0.71146 | 52.2 | 747 | 6149 |
| por-fra | tatoeba-test-v2021-08-07 | 0.75565 | 60.9 | 10518 | 80459 |
| por-glg | tatoeba-test-v2021-08-07 | 0.75348 | 59.0 | 433 | 3016 |
| por-ita | tatoeba-test-v2021-08-07 | 0.76883 | 58.8 | 3066 | 24897 |
| por-ron | tatoeba-test-v2021-08-07 | 0.67838 | 46.6 | 681 | 4521 |
| por-spa | tatoeba-test-v2021-08-07 | 0.79336 | 64.8 | 10947 | 87335 |
| ron-fra | tatoeba-test-v2021-08-07 | 0.70307 | 55.0 | 1925 | 13347 |
| ron-ita | tatoeba-test-v2021-08-07 | 0.73862 | 53.7 | 1005 | 6352 |
| ron-por | tatoeba-test-v2021-08-07 | 0.70889 | 50.7 | 681 | 4593 |
| ron-spa | tatoeba-test-v2021-08-07 | 0.73529 | 57.2 | 1959 | 12679 |
| spa-cat | tatoeba-test-v2021-08-07 | 0.82758 | 67.9 | 1534 | 12343 |
| spa-fra | tatoeba-test-v2021-08-07 | 0.73113 | 57.3 | 10294 | 83501 |
| spa-glg | tatoeba-test-v2021-08-07 | 0.77332 | 63.0 | 2121 | 16581 |
| spa-ita | tatoeba-test-v2021-08-07 | 0.77046 | 60.3 | 5000 | 34515 |
| spa-lad_Latn | tatoeba-test-v2021-08-07 | 0.40084 | 14.7 | 239 | 1254 |
| spa-por | tatoeba-test-v2021-08-07 | 0.75854 | 59.1 | 10947 | 87610 |
| spa-ron | tatoeba-test-v2021-08-07 | 0.66679 | 45.5 | 1959 | 12503 |
| ast-cat | flores101-devtest | 0.57870 | 31.8 | 1012 | 27304 |
| ast-fra | flores101-devtest | 0.56761 | 31.1 | 1012 | 28343 |
| ast-glg | flores101-devtest | 0.55161 | 27.9 | 1012 | 26582 |
| ast-ita | flores101-devtest | 0.51764 | 22.1 | 1012 | 27306 |
| ast-oci | flores101-devtest | 0.49545 | 20.6 | 1012 | 27305 |
| ast-por | flores101-devtest | 0.57347 | 31.5 | 1012 | 26519 |
| ast-ron | flores101-devtest | 0.52317 | 24.8 | 1012 | 26799 |
| ast-spa | flores101-devtest | 0.49741 | 21.2 | 1012 | 29199 |
| cat-ast | flores101-devtest | 0.56754 | 24.7 | 1012 | 24572 |
| cat-fra | flores101-devtest | 0.63368 | 38.4 | 1012 | 28343 |
| cat-glg | flores101-devtest | 0.59596 | 32.2 | 1012 | 26582 |
| cat-ita | flores101-devtest | 0.55886 | 26.3 | 1012 | 27306 |
| cat-oci | flores101-devtest | 0.54285 | 24.6 | 1012 | 27305 |
| cat-por | flores101-devtest | 0.62913 | 37.7 | 1012 | 26519 |
| cat-ron | flores101-devtest | 0.56885 | 29.5 | 1012 | 26799 |
| cat-spa | flores101-devtest | 0.53372 | 24.6 | 1012 | 29199 |
| fra-ast | flores101-devtest | 0.52696 | 20.7 | 1012 | 24572 |
| fra-cat | flores101-devtest | 0.60492 | 34.6 | 1012 | 27304 |
| fra-glg | flores101-devtest | 0.57485 | 30.3 | 1012 | 26582 |
| fra-ita | flores101-devtest | 0.56493 | 27.3 | 1012 | 27306 |
| fra-oci | flores101-devtest | 0.57449 | 28.2 | 1012 | 27305 |
| fra-por | flores101-devtest | 0.62211 | 36.9 | 1012 | 26519 |
| fra-ron | flores101-devtest | 0.56998 | 29.4 | 1012 | 26799 |
| fra-spa | flores101-devtest | 0.52880 | 24.2 | 1012 | 29199 |
| glg-ast | flores101-devtest | 0.55090 | 22.4 | 1012 | 24572 |
| glg-cat | flores101-devtest | 0.60550 | 32.6 | 1012 | 27304 |
| glg-fra | flores101-devtest | 0.62026 | 36.0 | 1012 | 28343 |
| glg-ita | flores101-devtest | 0.55834 | 25.9 | 1012 | 27306 |
| glg-oci | flores101-devtest | 0.52520 | 21.9 | 1012 | 27305 |
| glg-por | flores101-devtest | 0.60027 | 32.7 | 1012 | 26519 |
| glg-ron | flores101-devtest | 0.55621 | 27.8 | 1012 | 26799 |
| glg-spa | flores101-devtest | 0.53219 | 24.4 | 1012 | 29199 |
| ita-ast | flores101-devtest | 0.50741 | 17.1 | 1012 | 24572 |
| ita-cat | flores101-devtest | 0.57061 | 27.9 | 1012 | 27304 |
| ita-fra | flores101-devtest | 0.60199 | 32.0 | 1012 | 28343 |
| ita-glg | flores101-devtest | 0.55312 | 25.9 | 1012 | 26582 |
| ita-oci | flores101-devtest | 0.48447 | 18.1 | 1012 | 27305 |
| ita-por | flores101-devtest | 0.58162 | 29.0 | 1012 | 26519 |
| ita-ron | flores101-devtest | 0.53703 | 24.2 | 1012 | 26799 |
| ita-spa | flores101-devtest | 0.52238 | 23.1 | 1012 | 29199 |
| oci-ast | flores101-devtest | 0.53010 | 20.2 | 1012 | 24572 |
| oci-cat | flores101-devtest | 0.59946 | 32.2 | 1012 | 27304 |
| oci-fra | flores101-devtest | 0.64290 | 39.0 | 1012 | 28343 |
| oci-glg | flores101-devtest | 0.56737 | 28.0 | 1012 | 26582 |
| oci-ita | flores101-devtest | 0.54220 | 24.2 | 1012 | 27306 |
| oci-por | flores101-devtest | 0.62127 | 35.7 | 1012 | 26519 |
| oci-ron | flores101-devtest | 0.55906 | 28.0 | 1012 | 26799 |
| oci-spa | flores101-devtest | 0.52110 | 22.8 | 1012 | 29199 |
| por-ast | flores101-devtest | 0.54539 | 22.5 | 1012 | 24572 |
| por-cat | flores101-devtest | 0.61809 | 36.4 | 1012 | 27304 |
| por-fra | flores101-devtest | 0.64343 | 39.7 | 1012 | 28343 |
| por-glg | flores101-devtest | 0.57965 | 30.4 | 1012 | 26582 |
| por-ita | flores101-devtest | 0.55841 | 26.3 | 1012 | 27306 |
| por-oci | flores101-devtest | 0.54829 | 25.3 | 1012 | 27305 |
| por-ron | flores101-devtest | 0.57283 | 29.8 | 1012 | 26799 |
| por-spa | flores101-devtest | 0.53513 | 25.2 | 1012 | 29199 |
| ron-ast | flores101-devtest | 0.52265 | 20.1 | 1012 | 24572 |
| ron-cat | flores101-devtest | 0.59689 | 32.6 | 1012 | 27304 |
| ron-fra | flores101-devtest | 0.63060 | 37.4 | 1012 | 28343 |
| ron-glg | flores101-devtest | 0.56677 | 29.3 | 1012 | 26582 |
| ron-ita | flores101-devtest | 0.55485 | 25.6 | 1012 | 27306 |
| ron-oci | flores101-devtest | 0.52433 | 21.8 | 1012 | 27305 |
| ron-por | flores101-devtest | 0.61831 | 36.1 | 1012 | 26519 |
| ron-spa | flores101-devtest | 0.52712 | 24.1 | 1012 | 29199 |
| spa-ast | flores101-devtest | 0.49008 | 15.7 | 1012 | 24572 |
| spa-cat | flores101-devtest | 0.53905 | 23.2 | 1012 | 27304 |
| spa-fra | flores101-devtest | 0.57078 | 27.4 | 1012 | 28343 |
| spa-glg | flores101-devtest | 0.52563 | 22.0 | 1012 | 26582 |
| spa-ita | flores101-devtest | 0.52783 | 22.3 | 1012 | 27306 |
| spa-oci | flores101-devtest | 0.48064 | 16.3 | 1012 | 27305 |
| spa-por | flores101-devtest | 0.55736 | 25.8 | 1012 | 26519 |
| spa-ron | flores101-devtest | 0.51623 | 21.4 | 1012 | 26799 |
| fra-ita | newssyscomb2009 | 0.60995 | 32.1 | 502 | 11551 |
| fra-spa | newssyscomb2009 | 0.60224 | 34.2 | 502 | 12503 |
| ita-fra | newssyscomb2009 | 0.61237 | 33.7 | 502 | 12331 |
| ita-spa | newssyscomb2009 | 0.60706 | 35.4 | 502 | 12503 |
| spa-fra | newssyscomb2009 | 0.61290 | 34.6 | 502 | 12331 |
| spa-ita | newssyscomb2009 | 0.61632 | 33.3 | 502 | 11551 |
| fra-spa | news-test2008 | 0.58939 | 33.9 | 2051 | 52586 |
| spa-fra | news-test2008 | 0.58695 | 32.4 | 2051 | 52685 |
| fra-ita | newstest2009 | 0.59764 | 31.2 | 2525 | 63466 |
| fra-spa | newstest2009 | 0.58829 | 32.5 | 2525 | 68111 |
| ita-fra | newstest2009 | 0.59084 | 31.6 | 2525 | 69263 |
| ita-spa | newstest2009 | 0.59669 | 33.5 | 2525 | 68111 |
| spa-fra | newstest2009 | 0.59096 | 32.3 | 2525 | 69263 |
| spa-ita | newstest2009 | 0.60783 | 33.2 | 2525 | 63466 |
| fra-spa | newstest2010 | 0.62250 | 37.8 | 2489 | 65480 |
| spa-fra | newstest2010 | 0.61953 | 36.2 | 2489 | 66022 |
| fra-spa | newstest2011 | 0.62953 | 39.8 | 3003 | 79476 |
| spa-fra | newstest2011 | 0.61130 | 34.9 | 3003 | 80626 |
| fra-spa | newstest2012 | 0.62397 | 39.0 | 3003 | 79006 |
| spa-fra | newstest2012 | 0.60927 | 34.3 | 3003 | 78011 |
| fra-spa | newstest2013 | 0.59312 | 34.9 | 3000 | 70528 |
| spa-fra | newstest2013 | 0.59468 | 33.6 | 3000 | 70037 |
| cat-ita | wmt21-ml-wp | 0.69968 | 47.8 | 1743 | 42735 |
| cat-oci | wmt21-ml-wp | 0.73808 | 51.6 | 1743 | 43736 |
| cat-ron | wmt21-ml-wp | 0.51178 | 29.0 | 1743 | 42895 |
| ita-cat | wmt21-ml-wp | 0.70538 | 48.9 | 1743 | 43833 |
| ita-oci | wmt21-ml-wp | 0.59025 | 32.0 | 1743 | 43736 |
| ita-ron | wmt21-ml-wp | 0.51261 | 28.9 | 1743 | 42895 |
| oci-cat | wmt21-ml-wp | 0.80908 | 66.1 | 1743 | 43833 |
| oci-ita | wmt21-ml-wp | 0.63584 | 39.6 | 1743 | 42735 |
| oci-ron | wmt21-ml-wp | 0.47384 | 24.6 | 1743 | 42895 |
| ron-cat | wmt21-ml-wp | 0.52994 | 31.1 | 1743 | 43833 |
| ron-ita | wmt21-ml-wp | 0.52714 | 29.6 | 1743 | 42735 |
| ron-oci | wmt21-ml-wp | 0.45932 | 21.3 | 1743 | 43736 |
Citation Information
- Publications: OPUS-MT � Building open translation services for the World and The Tatoeba Translation Challenge � Realistic Data Sets for Low Resource and Multilingual MT (Please, cite if you use this model.)
@inproceedings{tiedemann-thottingal-2020-opus,
title = "{OPUS}-{MT} {--} Building open translation services for the World",
author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh},
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
month = nov,
year = "2020",
address = "Lisboa, Portugal",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2020.eamt-1.61",
pages = "479--480",
}
@inproceedings{tiedemann-2020-tatoeba,
title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
author = {Tiedemann, J{\"o}rg},
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.139",
pages = "1174--1182",
}
Acknowledgements
The work is supported by the European Language Grid as pilot project 2866, by the FoTran project, funded by the European Research Council (ERC) under the European Union�s Horizon 2020 research and innovation programme (grant agreement No 771113), and the MeMAD project, funded by the European Union�s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by CSC -- IT Center for Science, Finland.
Model conversion info
- transformers version: 4.16.2
- OPUS-MT git hash: 8b9f0b0
- port time: Fri Aug 12 23:57:49 EEST 2022
- port machine: LM0-400-22516.local