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Nextcloud-AI/opus-mt-ar-it
opus-mt-ar-it is a translation model from Nextcloud-AI. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as apache-2.0.
source group: Arabic target group: Italian OPUS readme: ara-ita
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From the Hugging Face model README
source group: Arabic
target group: Italian
OPUS readme: ara-ita
model: transformer
source language(s): ara
target language(s): ita
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download original weights: opus-2020-07-03.zip
test set translations: opus-2020-07-03.test.txt
test set scores: opus-2020-07-03.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.ara.ita | 44.2 | 0.658 |
hf_name: ara-ita
source_languages: ara
target_languages: ita
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-ita/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['ar', 'it']
src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
tgt_constituents: {'ita'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ita/opus-2020-07-03.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ita/opus-2020-07-03.test.txt
src_alpha3: ara
tgt_alpha3: ita
short_pair: ar-it
chrF2_score: 0.6579999999999999
bleu: 44.2
brevity_penalty: 0.9890000000000001
ref_len: 1495.0
src_name: Arabic
tgt_name: Italian
train_date: 2020-07-03
src_alpha2: ar
tgt_alpha2: it
prefer_old: False
long_pair: ara-ita
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41