Helsinki-NLP/opus-mt-fr-ms

fra-msa

• source group: French

• target group: Malay (macrolanguage)

• OPUS readme: fra-msa

• model: transformer-align

• source language(s): fra

• 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

• test set translations: opus-2020-06-17.test.txt

• test set scores: opus-2020-06-17.eval.txt

Benchmarks

testset	BLEU	chr-F
Tatoeba-test.fra.msa	35.3	0.617

System Info:

• hf_name: fra-msa

• source_languages: fra

• target_languages: msa

• opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md

• original_repo: Tatoeba-Challenge

• tags: ['translation']

• languages: ['fr', 'ms']

• src_constituents: {'fra'}

• 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/fra-msa/opus-2020-06-17.zip

• url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt

• src_alpha3: fra

• tgt_alpha3: msa

• short_pair: fr-ms

• chrF2_score: 0.617

• bleu: 35.3

• brevity_penalty: 0.978

• ref_len: 6696.0

• src_name: French

• tgt_name: Malay (macrolanguage)

• train_date: 2020-06-17

• src_alpha2: fr

• tgt_alpha2: ms

• prefer_old: False

• long_pair: fra-msa

• helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

• port_machine: brutasse

• port_time: 2020-08-21-14:41