# News translation optimization

This is a neural machine translation model for translating from the West Slavic language family (zlw) to English (en), 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.

A neural machine translation model for translating from East Slavic languages (Belarusian, Russian, Ukrainian) to English, developed based on the OPUS-MT project.

This is a multilingual machine translation model based on the Transformer architecture, supporting translation tasks from English to 15 Uralic languages.

This is a machine translation model based on the Transformer architecture for translating English to Turkish, released by Tatoeba-Challenge.

This is a Transformer model supporting translation from multiple Romance languages to English, developed by the Helsinki-NLP team.

This is a multilingual translation model based on the Transformer architecture, supporting translation tasks from various Slavic languages to English.