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Postagger Portuguese

Developed by lisaterumi
A Portuguese POS tagger fine-tuned from BERTimbau model, trained on MacMorpho corpus with an F1 score of 0.9826.
Downloads 373
Release Time : 7/17/2022

Model Overview

This model is a POS tagger for Brazilian Portuguese, fine-tuned from BERTimbau model on MacMorpho corpus, primarily used for text POS tagging tasks.

Model Features

High accuracy
Achieves an F1 score of 0.9826 on MacMorpho corpus, demonstrating excellent performance.
Based on BERTimbau
Utilizes the Portuguese pre-trained BERTimbau model as foundation, with strong language understanding capabilities.
Extensive tag coverage
Supports 27 POS tags, covering adjectives, adverbs, nouns, verbs, and more.

Model Capabilities

Portuguese POS tagging
Text analysis
Natural language processing

Use Cases

Text processing
Clinical text analysis
Used for analyzing clinical narrative texts to extract key information.
Clinical model achieves an accuracy of 0.8145.
General text tagging
Used for POS tagging of general Portuguese texts.
General model achieves an accuracy of 0.7656.
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