# Low-resource language translation

NLLB-200 is a powerful machine translation model that supports single-sentence translation for 200 languages, especially for research on low-resource languages.

A model fine-tuned from Meta's NLLB-200 (600M parameter distilled version) specifically for French-Wolof mutual translation

Gallek is a French-to-Breton translation model, whose name means 'French' in Breton.

Fine-tuned based on Helsinki's en-ar model, specifically for the translation task from English to Darija.

A multilingual machine translation model based on the T5 architecture, supporting 400+ languages, trained with 250 billion tokens

This is a translation model trained on the AutoTrain platform, specializing in Pidgin translation tasks between English and German.

This is a small translation model based on the T5 Transformer, specifically designed for translation tasks between Spanish and Nahuatl.

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.

A Transformer-based machine translation model for translating Tsonga (ts) to English (en).

This is a machine translation model from Ilocano to English based on the transformer-align architecture, 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.

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

This is a machine translation model based on Transformer architecture, specifically designed for translating Turkish into Arabic and its variants.

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

This is a Russian-to-Vietnamese machine translation model 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.

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 Afrikaans to Russian, developed by the Helsinki-NLP team.

This is a Vietnamese to German machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team as part of the Tatoeba Challenge project.

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 Japanese-to-Turkish machine translation model based on the transformer-align architecture, developed by the Helsinki-NLP team.

OPUS-MT project's machine translation model from tll language to Spanish (es), implemented based on Transformer architecture

Machine translation model from tll to fi trained on OPUS data, using transformer-align architecture

This is a machine translation model based on the Transformer architecture, specifically designed for Fijian (fj) to French (fr) translation tasks.

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

Transformer-based alignment model for machine translation from Spanish to Wallisian

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

This is a Transformer-based machine translation model for translating Luganda (lg) to Spanish (es).

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

Luganda (lg) to Swedish (sv) machine translation model trained on OPUS dataset, using transformer-align architecture

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

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

This is a Transformer-based machine translation model specifically designed for translating Tokelauan (toi) into Finnish (fi).

OPUS-MT translation model supporting machine translation tasks from tll language to Swedish (sv).

This is a multilingual translation model based on the Transformer architecture, supporting translation tasks from various artificial languages (such as Esperanto, Ido, etc.) to English.

A Transformer-based neural machine translation model for Tongan to English, trained by Helsinki-NLP team using OPUS dataset

Transformer-based machine translation model supporting Kuanyama (kj) to English (en) translation tasks

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