metadata
language:
- be
- ca
- es
- fr
- gl
- it
- pt
- ro
- ru
- uk
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-zle-itc
results:
- task:
name: Translation bel-cat
type: translation
args: bel-cat
dataset:
name: flores101-devtest
type: flores_101
args: bel cat devtest
metrics:
- name: BLEU
type: bleu
value: 16.8
- name: chr-F
type: chrf
value: 0.48374
- task:
name: Translation bel-fra
type: translation
args: bel-fra
dataset:
name: flores101-devtest
type: flores_101
args: bel fra devtest
metrics:
- name: BLEU
type: bleu
value: 19.4
- name: chr-F
type: chrf
value: 0.51278
- task:
name: Translation bel-glg
type: translation
args: bel-glg
dataset:
name: flores101-devtest
type: flores_101
args: bel glg devtest
metrics:
- name: BLEU
type: bleu
value: 15.3
- name: chr-F
type: chrf
value: 0.45665
- task:
name: Translation bel-ita
type: translation
args: bel-ita
dataset:
name: flores101-devtest
type: flores_101
args: bel ita devtest
metrics:
- name: BLEU
type: bleu
value: 14.6
- name: chr-F
type: chrf
value: 0.47204
- task:
name: Translation bel-por
type: translation
args: bel-por
dataset:
name: flores101-devtest
type: flores_101
args: bel por devtest
metrics:
- name: BLEU
type: bleu
value: 17.3
- name: chr-F
type: chrf
value: 0.49561
- task:
name: Translation bel-ron
type: translation
args: bel-ron
dataset:
name: flores101-devtest
type: flores_101
args: bel ron devtest
metrics:
- name: BLEU
type: bleu
value: 14.9
- name: chr-F
type: chrf
value: 0.46315
- task:
name: Translation bel-spa
type: translation
args: bel-spa
dataset:
name: flores101-devtest
type: flores_101
args: bel spa devtest
metrics:
- name: BLEU
type: bleu
value: 15.3
- name: chr-F
type: chrf
value: 0.46011
- task:
name: Translation rus-ast
type: translation
args: rus-ast
dataset:
name: flores101-devtest
type: flores_101
args: rus ast devtest
metrics:
- name: BLEU
type: bleu
value: 13.6
- name: chr-F
type: chrf
value: 0.45411
- task:
name: Translation rus-cat
type: translation
args: rus-cat
dataset:
name: flores101-devtest
type: flores_101
args: rus cat devtest
metrics:
- name: BLEU
type: bleu
value: 28.3
- name: chr-F
type: chrf
value: 0.55262
- task:
name: Translation rus-fra
type: translation
args: rus-fra
dataset:
name: flores101-devtest
type: flores_101
args: rus fra devtest
metrics:
- name: BLEU
type: bleu
value: 32.9
- name: chr-F
type: chrf
value: 0.59498
- task:
name: Translation rus-glg
type: translation
args: rus-glg
dataset:
name: flores101-devtest
type: flores_101
args: rus glg devtest
metrics:
- name: BLEU
type: bleu
value: 23.5
- name: chr-F
type: chrf
value: 0.51668
- task:
name: Translation rus-ita
type: translation
args: rus-ita
dataset:
name: flores101-devtest
type: flores_101
args: rus ita devtest
metrics:
- name: BLEU
type: bleu
value: 22.7
- name: chr-F
type: chrf
value: 0.52402
- task:
name: Translation rus-oci
type: translation
args: rus-oci
dataset:
name: flores101-devtest
type: flores_101
args: rus oci devtest
metrics:
- name: BLEU
type: bleu
value: 12.9
- name: chr-F
type: chrf
value: 0.42301
- task:
name: Translation rus-por
type: translation
args: rus-por
dataset:
name: flores101-devtest
type: flores_101
args: rus por devtest
metrics:
- name: BLEU
type: bleu
value: 31.4
- name: chr-F
type: chrf
value: 0.58045
- task:
name: Translation rus-ron
type: translation
args: rus-ron
dataset:
name: flores101-devtest
type: flores_101
args: rus ron devtest
metrics:
- name: BLEU
type: bleu
value: 24.7
- name: chr-F
type: chrf
value: 0.5256
- task:
name: Translation rus-spa
type: translation
args: rus-spa
dataset:
name: flores101-devtest
type: flores_101
args: rus spa devtest
metrics:
- name: BLEU
type: bleu
value: 21.8
- name: chr-F
type: chrf
value: 0.50622
- task:
name: Translation ukr-ast
type: translation
args: ukr-ast
dataset:
name: flores101-devtest
type: flores_101
args: ukr ast devtest
metrics:
- name: BLEU
type: bleu
value: 14.1
- name: chr-F
type: chrf
value: 0.45629
- task:
name: Translation ukr-cat
type: translation
args: ukr-cat
dataset:
name: flores101-devtest
type: flores_101
args: ukr cat devtest
metrics:
- name: BLEU
type: bleu
value: 29.5
- name: chr-F
type: chrf
value: 0.56383
- task:
name: Translation ukr-fra
type: translation
args: ukr-fra
dataset:
name: flores101-devtest
type: flores_101
args: ukr fra devtest
metrics:
- name: BLEU
type: bleu
value: 34.5
- name: chr-F
type: chrf
value: 0.60596
- task:
name: Translation ukr-glg
type: translation
args: ukr-glg
dataset:
name: flores101-devtest
type: flores_101
args: ukr glg devtest
metrics:
- name: BLEU
type: bleu
value: 24.2
- name: chr-F
type: chrf
value: 0.52217
- task:
name: Translation ukr-ita
type: translation
args: ukr-ita
dataset:
name: flores101-devtest
type: flores_101
args: ukr ita devtest
metrics:
- name: BLEU
type: bleu
value: 23
- name: chr-F
type: chrf
value: 0.5261
- task:
name: Translation ukr-oci
type: translation
args: ukr-oci
dataset:
name: flores101-devtest
type: flores_101
args: ukr oci devtest
metrics:
- name: BLEU
type: bleu
value: 13.7
- name: chr-F
type: chrf
value: 0.42937
- task:
name: Translation ukr-por
type: translation
args: ukr-por
dataset:
name: flores101-devtest
type: flores_101
args: ukr por devtest
metrics:
- name: BLEU
type: bleu
value: 32.5
- name: chr-F
type: chrf
value: 0.59036
- task:
name: Translation ukr-ron
type: translation
args: ukr-ron
dataset:
name: flores101-devtest
type: flores_101
args: ukr ron devtest
metrics:
- name: BLEU
type: bleu
value: 26
- name: chr-F
type: chrf
value: 0.53883
- task:
name: Translation ukr-spa
type: translation
args: ukr-spa
dataset:
name: flores101-devtest
type: flores_101
args: ukr spa devtest
metrics:
- name: BLEU
type: bleu
value: 22.5
- name: chr-F
type: chrf
value: 0.51018
- task:
name: Translation bel-fra
type: translation
args: bel-fra
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: bel-fra
metrics:
- name: BLEU
type: bleu
value: 49.1
- name: chr-F
type: chrf
value: 0.66784
- task:
name: Translation bel-ita
type: translation
args: bel-ita
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: bel-ita
metrics:
- name: BLEU
type: bleu
value: 47.6
- name: chr-F
type: chrf
value: 0.64145
- task:
name: Translation bel-spa
type: translation
args: bel-spa
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: bel-spa
metrics:
- name: BLEU
type: bleu
value: 46.9
- name: chr-F
type: chrf
value: 0.65485
- task:
name: Translation rus-fra
type: translation
args: rus-fra
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: rus-fra
metrics:
- name: BLEU
type: bleu
value: 52.1
- name: chr-F
type: chrf
value: 0.68174
- task:
name: Translation rus-ita
type: translation
args: rus-ita
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: rus-ita
metrics:
- name: BLEU
type: bleu
value: 42.7
- name: chr-F
type: chrf
value: 0.63277
- task:
name: Translation rus-por
type: translation
args: rus-por
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: rus-por
metrics:
- name: BLEU
type: bleu
value: 42.6
- name: chr-F
type: chrf
value: 0.63606
- task:
name: Translation rus-ron
type: translation
args: rus-ron
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: rus-ron
metrics:
- name: BLEU
type: bleu
value: 37.5
- name: chr-F
type: chrf
value: 0.60796
- task:
name: Translation rus-spa
type: translation
args: rus-spa
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: rus-spa
metrics:
- name: BLEU
type: bleu
value: 51.3
- name: chr-F
type: chrf
value: 0.69108
- task:
name: Translation ukr-cat
type: translation
args: ukr-cat
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: ukr-cat
metrics:
- name: BLEU
type: bleu
value: 52.9
- name: chr-F
type: chrf
value: 0.69275
- task:
name: Translation ukr-fra
type: translation
args: ukr-fra
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: ukr-fra
metrics:
- name: BLEU
type: bleu
value: 51.3
- name: chr-F
type: chrf
value: 0.67392
- task:
name: Translation ukr-ita
type: translation
args: ukr-ita
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: ukr-ita
metrics:
- name: BLEU
type: bleu
value: 49.6
- name: chr-F
type: chrf
value: 0.69157
- task:
name: Translation ukr-por
type: translation
args: ukr-por
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: ukr-por
metrics:
- name: BLEU
type: bleu
value: 45
- name: chr-F
type: chrf
value: 0.64722
- task:
name: Translation ukr-spa
type: translation
args: ukr-spa
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: ukr-spa
metrics:
- name: BLEU
type: bleu
value: 50.7
- name: chr-F
type: chrf
value: 0.68409
- task:
name: Translation rus-fra
type: translation
args: rus-fra
dataset:
name: newstest2012
type: wmt-2012-news
args: rus-fra
metrics:
- name: BLEU
type: bleu
value: 25
- name: chr-F
type: chrf
value: 0.53481
- task:
name: Translation rus-spa
type: translation
args: rus-spa
dataset:
name: newstest2012
type: wmt-2012-news
args: rus-spa
metrics:
- name: BLEU
type: bleu
value: 28.7
- name: chr-F
type: chrf
value: 0.54814
- task:
name: Translation rus-fra
type: translation
args: rus-fra
dataset:
name: newstest2013
type: wmt-2013-news
args: rus-fra
metrics:
- name: BLEU
type: bleu
value: 29
- name: chr-F
type: chrf
value: 0.55745
- task:
name: Translation rus-spa
type: translation
args: rus-spa
dataset:
name: newstest2013
type: wmt-2013-news
args: rus-spa
metrics:
- name: BLEU
type: bleu
value: 31.5
- name: chr-F
type: chrf
value: 0.56582
opus-mt-tc-big-zle-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 East Slavic languages (zle) 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: 2022-08-03
- License: CC-BY-4.0
- Language(s):
- Source Language(s): bel rue rus ukr
- Target Language(s): cat fra glg ita lad_Latn por ron spa
- Language Pair(s): bel-fra bel-ita bel-spa rus-cat rus-fra rus-glg rus-ita rus-por rus-ron rus-spa ukr-cat ukr-fra ukr-glg ukr-ita ukr-por ukr-ron ukr-spa
- Valid Target Language Labels: >>acf<< >>aoa<< >>arg<< >>ast<< >>cat<< >>cbk<< >>ccd<< >>cks<< >>cos<< >>cri<< >>crs<< >>dlm<< >>drc<< >>egl<< >>ext<< >>fab<< >>fax<< >>fra<< >>frc<< >>frm<< >>fro<< >>frp<< >>fur<< >>gcf<< >>gcf_Latn<< >>gcr<< >>glg<< >>hat<< >>idb<< >>ist<< >>ita<< >>itk<< >>kea<< >>kmv<< >>lad<< >>lad_Latn<< >>lat<< >>lat_Latn<< >>lij<< >>lld<< >>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_2022-08-03.zip
- Resources for more information:
- OPUS-MT-train GitHub Repo
- More information about released models for this language pair: OPUS-MT zle-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. >>cat<<
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<< Вони не мої справжні батьки.",
">>por<< Мне нужно в школу."
]
model_name = "pytorch-models/opus-mt-tc-big-zle-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:
# Ce ne sont pas mes vrais parents.
# Tenho de ir para a escola.
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-zle-itc")
print(pipe(">>fra<< Вони не мої справжні батьки."))
# expected output: Ce ne sont pas mes vrais parents.
Training
- Data: opusTCv20210807 (source)
- Pre-processing: SentencePiece (spm32k,spm32k)
- Model Type: transformer-big
- Original MarianNMT Model: opusTCv20210807_transformer-big_2022-08-03.zip
- Training Scripts: GitHub Repo
Evaluation
- test set translations: opusTCv20210807_transformer-big_2022-08-03.test.txt
- test set scores: opusTCv20210807_transformer-big_2022-08-03.eval.txt
- benchmark results: benchmark_results.txt
- benchmark output: benchmark_translations.zip
| langpair | testset | chr-F | BLEU | #sent | #words |
|---|---|---|---|---|---|
| bel-fra | tatoeba-test-v2021-08-07 | 0.66784 | 49.1 | 283 | 2005 |
| bel-ita | tatoeba-test-v2021-08-07 | 0.64145 | 47.6 | 264 | 1681 |
| bel-spa | tatoeba-test-v2021-08-07 | 0.65485 | 46.9 | 205 | 1412 |
| rus-fra | tatoeba-test-v2021-08-07 | 0.68174 | 52.1 | 11490 | 80579 |
| rus-ita | tatoeba-test-v2021-08-07 | 0.63277 | 42.7 | 10045 | 71584 |
| rus-por | tatoeba-test-v2021-08-07 | 0.63606 | 42.6 | 10000 | 74713 |
| rus-ron | tatoeba-test-v2021-08-07 | 0.60796 | 37.5 | 782 | 4772 |
| rus-spa | tatoeba-test-v2021-08-07 | 0.69108 | 51.3 | 10506 | 75246 |
| ukr-cat | tatoeba-test-v2021-08-07 | 0.69275 | 52.9 | 456 | 2675 |
| ukr-fra | tatoeba-test-v2021-08-07 | 0.67392 | 51.3 | 10035 | 63227 |
| ukr-ita | tatoeba-test-v2021-08-07 | 0.69157 | 49.6 | 5000 | 27846 |
| ukr-por | tatoeba-test-v2021-08-07 | 0.64722 | 45.0 | 3372 | 21315 |
| ukr-spa | tatoeba-test-v2021-08-07 | 0.68409 | 50.7 | 10115 | 59284 |
| bel-ast | flores101-devtest | 0.40942 | 8.7 | 1012 | 24572 |
| bel-cat | flores101-devtest | 0.48374 | 16.8 | 1012 | 27304 |
| bel-fra | flores101-devtest | 0.51278 | 19.4 | 1012 | 28343 |
| bel-glg | flores101-devtest | 0.45665 | 15.3 | 1012 | 26582 |
| bel-ita | flores101-devtest | 0.47204 | 14.6 | 1012 | 27306 |
| bel-por | flores101-devtest | 0.49561 | 17.3 | 1012 | 26519 |
| bel-ron | flores101-devtest | 0.46315 | 14.9 | 1012 | 26799 |
| bel-spa | flores101-devtest | 0.46011 | 15.3 | 1012 | 29199 |
| rus-ast | flores101-devtest | 0.45411 | 13.6 | 1012 | 24572 |
| rus-cat | flores101-devtest | 0.55262 | 28.3 | 1012 | 27304 |
| rus-fra | flores101-devtest | 0.59498 | 32.9 | 1012 | 28343 |
| rus-glg | flores101-devtest | 0.51668 | 23.5 | 1012 | 26582 |
| rus-ita | flores101-devtest | 0.52402 | 22.7 | 1012 | 27306 |
| rus-oci | flores101-devtest | 0.42301 | 12.9 | 1012 | 27305 |
| rus-por | flores101-devtest | 0.58045 | 31.4 | 1012 | 26519 |
| rus-ron | flores101-devtest | 0.52560 | 24.7 | 1012 | 26799 |
| rus-spa | flores101-devtest | 0.50622 | 21.8 | 1012 | 29199 |
| ukr-ast | flores101-devtest | 0.45629 | 14.1 | 1012 | 24572 |
| ukr-cat | flores101-devtest | 0.56383 | 29.5 | 1012 | 27304 |
| ukr-fra | flores101-devtest | 0.60596 | 34.5 | 1012 | 28343 |
| ukr-glg | flores101-devtest | 0.52217 | 24.2 | 1012 | 26582 |
| ukr-ita | flores101-devtest | 0.52610 | 23.0 | 1012 | 27306 |
| ukr-oci | flores101-devtest | 0.42937 | 13.7 | 1012 | 27305 |
| ukr-por | flores101-devtest | 0.59036 | 32.5 | 1012 | 26519 |
| ukr-ron | flores101-devtest | 0.53883 | 26.0 | 1012 | 26799 |
| ukr-spa | flores101-devtest | 0.51018 | 22.5 | 1012 | 29199 |
| rus-fra | newstest2012 | 0.53481 | 25.0 | 3003 | 78011 |
| rus-spa | newstest2012 | 0.54814 | 28.7 | 3003 | 79006 |
| rus-fra | newstest2013 | 0.55745 | 29.0 | 3000 | 70037 |
| rus-spa | newstest2013 | 0.56582 | 31.5 | 3000 | 70528 |
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: Sat Aug 13 00:01:33 EEST 2022
- port machine: LM0-400-22516.local