# Punctuation restoration

Japanese automatic speech recognition model based on Whisper, integrating speaker separation and punctuation addition functions

This is a Russian speech recognition model based on Whisper Large V3, specifically optimized for Russian speech.

Russian ASR output correction model based on ruT5-large architecture, designed to correct speech recognition errors, restore punctuation, and adjust capitalization

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

This is a BERT-based punctuation restoration model for Danish language that automatically adds correct punctuation to Danish texts.

This model is used to automatically add punctuation marks to unpunctuated classical Chinese texts, supporting over twenty types of punctuation.

A punctuation restoration model fine-tuned based on the bert-base-uncased architecture, specifically designed for the Yelp review dataset, capable of predicting punctuation and case restoration for lowercase-only text.