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Fullstop Catalan Punctuation Prediction
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Fullstop Catalan Punctuation Prediction
Developed by softcatala
This model is used to predict punctuation marks in Catalan, capable of restoring periods, commas, question marks, hyphens, and colons.
Downloads 16
Release Time : 4/4/2022
Model Overview
A deep learning-based Catalan punctuation prediction model, specifically designed for processing unpunctuated text, automatically adding appropriate punctuation marks.
Model Features
Multi-punctuation support
Capable of predicting and restoring five different types of punctuation marks, including periods, commas, question marks, hyphens, and colons.
High accuracy
Performs exceptionally well in Catalan, especially with a period prediction accuracy of up to 93%.
Based on Europarl dataset
Trained using the high-quality Europarl Catalan dataset, ensuring model reliability.
Model Capabilities
Catalan text punctuation prediction
Unpunctuated text processing
Automatic punctuation insertion
Use Cases
Text processing
Speech transcription punctuation restoration
Automatically adds appropriate punctuation to unpunctuated text generated by speech recognition systems.
Improves the readability and professionalism of transcribed text
Historical document digitization
Restores punctuation for historical documents that lost punctuation during digitization.
Enhances document readability and research value
Writing assistance
Quick writing punctuation assistance
Helps users automatically add punctuation during fast writing, improving writing efficiency.
Reduces the burden of punctuation input during writing
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