# High BLEU score

This model is a fine-tuned Arabic-to-English translation model based on Helsinki-NLP/opus-mt-ar-en, achieving a BLEU score of 54.65 on the evaluation set.

A fine-tuned English-to-French translation model based on Helsinki-NLP/opus-mt-tc-big-en-fr, specifically optimized for Magic: The Gathering content

Encoder-decoder transformer model based on bigscience/mt0-small architecture, specializing in English-Italian text translation

A Spanish grammar correction model based on the BART architecture, trained on the COWS-L2H dataset and 80,984 synthetic data entries, optimized for single-sentence correction

A Spanish-to-Spanish machine translation model fine-tuned based on Helsinki-NLP/opus-mt-es-es

A Ge'ez (Ethiopian) text processing model based on the T5 architecture, supporting text generation and transformation tasks

This model is a fine-tuned English-Chinese translation model based on Helsinki-NLP/opus-mt-en-zh, achieving a BLEU score of 96.75 on the evaluation set.

Multilingual translation model fine-tuned on the WMT16 dataset, supporting Russian to English translation tasks

An English-Spanish translation model fine-tuned from facebook/mbart-large-50, demonstrating excellent performance on evaluation sets.

An English-to-Spanish translation model fine-tuned based on facebook/mbart-large-50, achieving a BLEU score of 45.09 on the evaluation set.

An English-Spanish translation model fine-tuned based on facebook/mbart-large-50, achieving a BLEU score of 45.03 on the evaluation set.

This model is a fine-tuned English-to-Spanish translation model based on facebook/mbart-large-50, achieving a BLEU score of 45.03 on the evaluation set.

This model is a fine-tuned Arabic-to-English translation model based on facebook/nllb-200-distilled-600M, achieving a BLEU score of 63.3172 on the evaluation set.

This model is a German-to-English medical text translation model fine-tuned based on Helsinki-NLP/opus-mt-de-en, focusing on translation tasks in the medical field.

A BART-based Cantonese to Traditional Chinese translation model fine-tuned on Cantonese-Traditional Chinese parallel corpus

An English-to-Korean translation model fine-tuned from KETI-AIR/long-ke-t5-base, trained on multiple AI Hub datasets with a BLEU score of 42.463.

This is an English-to-French translation model trained on the AutoTrain platform, specifically optimized for food domain texts.

This model is a fine-tuned Arabic (Dz) to English translation model based on the distilled version of NLLB-200

Top-tier English-Vietnamese and Vietnamese-English bidirectional translation model trained on MTet and PhoMT datasets, supporting high-quality multi-domain text translation

OPUS-MT is a Transformer-based machine translation model specifically designed for translation tasks among West Germanic languages.

This model is a fine-tuned English-to-Brazilian Portuguese translation model based on facebook/m2m100_418M on the kde4 dataset

Japanese-to-English translation model based on Marian-NMT architecture

This is a neural machine translation model for Italian-to-English translation, part of the OPUS-MT project, using the transformer-big architecture.

This is a neural machine translation model for translating from North Germanic languages (gmq) to English (en), part of the OPUS-MT project.

French-to-English neural machine translation model under the OPUS-MT project, based on transformer-big architecture, using SentencePiece tokenization

English-to-Spanish neural machine translation model provided by the OPUS-MT project, based on transformer-big architecture

This is a neural machine translation model for English to Portuguese (including Brazilian Portuguese), part of the OPUS-MT project.

This is a neural machine translation model for English to Italian translation, part of the OPUS-MT project, using transformer-big architecture.

This is a neural machine translation model for translating from English to North Germanic languages (including Danish, Faroese, Icelandic, Norwegian Bokmål, Norwegian Nynorsk, and Swedish), part of the OPUS-MT project.

This is a neural machine translation model for translating from English to Catalan, Occitan, and Spanish, part of the OPUS-MT project.

This is a neural machine translation model for English to Bulgarian translation, part of the OPUS-MT project.

This is a neural machine translation model for translating from German to East Slavic languages (Belarusian, Russian, Ukrainian), part of the OPUS-MT project.

This is a large-scale neural machine translation model based on the Transformer architecture, specifically designed for translating English to Finnish. The model is part of the OPUS-MT project, trained using the Marian NMT framework, and provided through Hugging Face's transformers library.

This is a neural machine translation model for translating from Finnish to English, part of the OPUS-MT project, using a large transformer architecture.

This is an English-German translation model based on the fairseq wmt19 transformer, released by Facebook AI Research, which performed excellently in the WMT19 news translation task.

Bidirectional English-Catalan translation model based on OpenNMT, developed and deployed in production by Softcatalà.

This is a Dutch-to-French machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team and trained using the OPUS dataset.

opus-mt-es-de is a Transformer-based machine translation model for Spanish to German, developed by the University of Helsinki NLP team.

A Transformer-based machine translation model from Russian to Ukrainian, developed by the Helsinki-NLP team, supporting standardized preprocessing and SentencePiece tokenization.

A Transformer-based Polish-to-English machine translation model developed by the Helsinki-NLP team, trained using the OPUS dataset.