# Standardized preprocessing

This is a Transformer-based English to Arabic translation model that supports multiple Arabic dialect variants.

This is an English-to-Hebrew machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team as part of the Tatoeba Challenge project.

This is a Transformer-based multilingual-to-English machine translation model supporting over 100 languages.

A Transformer-based machine translation model for Filipino to English, developed by the Helsinki-NLP team, supporting translation from Filipino written in Latin script to English.

This is a machine translation model based on Transformer architecture for translating from Spanish to Bulgarian, developed by the Helsinki-NLP team.

This is a Transformer-based machine translation model for English to Ewe, developed by the Helsinki-NLP team.

This is a multilingual translation model that supports translation from various Mon-Khmer languages (including Vietnamese, Khmer, etc.) to English.

This is a machine translation model based on the Transformer architecture for translating Greek language family (Modern Greek and Ancient Greek) to English, released by the Helsinki-NLP team.

This is a Transformer-based machine translation model from Spanish to Chinese, supporting multiple Chinese dialects and writing forms.

This is a multilingual translation model based on the Transformer architecture, supporting translation tasks from English to West Slavic languages (including Czech, Polish, etc.).

Machine translation model from English to Tuvaluan trained on OPUS data, using transformer-align architecture

This is a Bulgarian-to-Turkish machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team.

This is a Transformer-based machine translation model from Dutch to Afrikaans, released by the Tatoeba-Challenge project.

This is a multilingual translation model based on Transformer architecture, supporting translation from various North Germanic languages (including Danish, Norwegian Bokmål, Swedish, etc.) to English.

This is a Transformer-based machine translation model from Portuguese to Catalan, developed by the Helsinki-NLP team.

This is a Ukrainian to Polish machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

This is a machine translation model from Afrikaans to Dutch based on the transformer-align architecture, developed by the Helsinki-NLP team.

A Transformer-based neural machine translation model for Kinyarwanda (rw) to English (en), trained by the Helsinki-NLP team using the OPUS dataset.

This is a Spanish to Vietnamese machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team.

A Transformer-based machine translation model supporting translation tasks from tll language to English.

This is a Bulgarian to Russian machine translation model based on Transformer architecture, released by the Helsinki-NLP team.

This is a Hindi-to-Urdu machine translation model based on the transformer-align architecture, released by the Tatoeba-Challenge project.

OPUS-MT provided Northern Sotho (nso) to English (en) machine translation model, based on Transformer architecture and SentencePiece preprocessing

This is a Transformer-based machine translation model for Finnish to Sango, developed by the Helsinki-NLP team.

This is a machine translation model from Arabic to Modern Greek based on the transformer-align architecture, developed by the Helsinki-NLP team.

This is a Slovenian-to-Ukrainian machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

A Transformer-based machine translation model for Ewe (ee) to French (fr) translation tasks, developed by the Helsinki-NLP team.

This is a machine translation model from Polish to Esperanto based on the transformer-align architecture, developed by the Helsinki-NLP team.

This is a Transformer-based machine translation model from Arabic to Italian, developed by the Helsinki-NLP team.

This is a multilingual translation model based on the Transformer architecture, supporting translation tasks from Dravidian languages (including Tamil, Kannada, Malayalam, and Telugu) to English.

A Transformer alignment model trained on OPUS data for machine translation from Tokelauan (toi) to English (en).

This is a machine translation model from Malay to German based on the transformer-align architecture, released by the Tatoeba-Challenge project.

This is a machine translation model based on the Transformer architecture, specifically designed for translating Tigrinya (ti) to English (en).

This is a Transformer-based machine translation model for Polish to Arabic, supporting multiple Arabic dialects.

This is a German-to-Malay (macrolanguage) machine translation model based on the transformer-align architecture, released by the Helsinki-NLP team.

OPUS-MT is a Transformer-based machine translation model specifically designed for translating Southern Sotho (st) to English (en).

An Italian-to-English machine translation model based on Transformer architecture, developed by the Helsinki-NLP team and trained using the OPUS dataset.

This is a Transformer-based machine translation model for French to Berber, developed by the Helsinki-NLP team.

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

This is a machine translation model based on the Transformer architecture, specifically designed for translating Kabyle (kab) to English (en).