ruBert-base for Punctuation Correction
The model is built upon the foundation of ruBert-base and has been fine-tuned to correctly place punctuation marks in Russian sentences (it predicts the mark after each word).
Some additional info about the model:
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Fine-Tuning Source: The model has undergone fine-tuning using a diverse dataset comprising over 20,000 paragraphs from Russian literary works.
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Supported Classes: The model is designed to predict classes following specific punctuation marks: ? ! . , : ... and space (as class O).
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Input Format: To achieve optimal results, input text should be provided without punctuation marks. The model does not process changes in letter case.
Usage Guidelines
To use the model effectively, follow these guidelines:
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Input Text: Feed the model with text excluding punctuation marks.
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Letter Case: The model does not recognize changes in letter case.
Authors
- Mark Stolyarov