# News text optimization

BERT model for computing Russian sentence embeddings, developed based on cointegrated/LaBSE-en-ru with optimized Russian language processing performance

This model is based on the T5 architecture, specifically designed to correct spelling and punctuation errors in French text.

This model is specifically designed for English texts and can simultaneously perform tasks such as punctuation restoration, capitalization correction, and sentence boundary detection.

Spanish to French machine translation model trained on OPUS data, using transformer-align architecture

opus-mt-cs-en is a Transformer-based machine translation model for Czech to English, developed by the Helsinki-NLP team.