# 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.

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.).

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

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 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 Dutch to Afrikaans, released by the Tatoeba-Challenge project.

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

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

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

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.

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.

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 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.

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

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 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.

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

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

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).

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).

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

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