Stanza Pt
Stanza is a precise and efficient multilingual text analysis toolkit that supports Portuguese text processing, syntactic parsing, and entity recognition.
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Release Time : 3/2/2022
Model Overview
Stanza provides Portuguese text analysis capabilities, including tokenization, part-of-speech tagging, dependency parsing, and named entity recognition for natural language processing tasks.
Model Features
Multi-task Processing
Supports a complete NLP pipeline from raw text processing to syntactic parsing and entity recognition.
Efficient and Accurate
Provides state-of-the-art natural language processing models with fast processing speed and accurate results.
Multilingual Support
In addition to Portuguese, it also supports text analysis in multiple other languages.
Model Capabilities
Text Tokenization
Part-of-Speech Tagging
Dependency Parsing
Named Entity Recognition
Use Cases
Text Analysis
Portuguese Text Processing
Perform tokenization and part-of-speech tagging on Portuguese text.
Obtain structured text data.
Information Extraction
Identify named entities from Portuguese text.
Extract key information such as person names, locations, and organization names.
Linguistic Research
Syntactic Analysis
Analyze the grammatical structure of Portuguese sentences.
Obtain dependency parse trees for sentences.
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