# High-precision machine translation

kazRush-kk-ru is a Kazakh-to-Russian translation model based on the T5 configuration, trained on multiple parallel datasets.

Arabic-English machine translation model trained on OPUS and HPLT data, available in both Marian and Hugging Face formats.

English-Bengali machine translation model fine-tuned on BanglaNMT dataset, using T5 architecture

This is a large neural machine translation model based on the Transformer architecture, specifically designed for translating from Turkish to English.

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

This is a neural machine translation model for translating Serbian-Croatian (sh) to English (en), part of the OPUS-MT project.

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

This is a neural machine translation model based on the Transformer architecture, specifically designed for translating English into Estonian. The model is part of the OPUS-MT project, which aims to provide high-quality machine translation services for multiple languages.

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

English-Spanish translation model fine-tuned on the mbart-large-cc25 architecture, trained on the opus100 dataset

This is Facebook's neural machine translation model for Russian-English trained on WMT19 data, using the Transformer architecture, which performs excellently on Russian-English translation tasks.

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

This is a machine translation model based on Transformer architecture, specifically designed for translating English into Bulgarian and its Latinized version.

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

This is a machine translation model from Italian to Bulgarian based on the Transformer 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.

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

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

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

A Transformer-based neural machine translation model for English to Spanish, developed by the University of Helsinki NLP team

A machine translation model based on the Transformer architecture, designed for translation tasks from fse language to Finnish (fi).

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