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Stanza Sl

Developed by stanfordnlp
Stanza is a precise and efficient multilingual text analysis toolkit that supports various natural language processing tasks, from raw text to syntactic analysis and entity recognition.
Sequence Labeling OtherOpen Source License:Apache-2.0#Multilingual NLP#Syntactic Analysis#Entity Recognition
Downloads 39
Release Time : 3/2/2022

Model Overview

Stanza provides state-of-the-art natural language processing models for Slovenian, including tokenization, part-of-speech tagging, dependency parsing, and named entity recognition.

Model Features

Multilingual Support
Supports text analysis in multiple languages, including Slovenian
End-to-End Processing
Complete processing pipeline from raw text input to syntactic analysis and entity recognition
Efficient and Accurate
Offers state-of-the-art natural language processing models, ensuring accuracy and processing efficiency

Model Capabilities

Text Tokenization
Part-of-Speech Tagging
Dependency Parsing
Named Entity Recognition

Use Cases

Text Processing
Text Analysis
Performs grammatical and structural analysis of Slovenian text
Obtains linguistic information such as part-of-speech and syntactic relationships
Information Extraction
Identifies named entities in Slovenian text
Extracts key information such as person names, locations, and organization names
Linguistic Research
Language Structure Analysis
Studies the grammatical structure and linguistic features of Slovenian
Provides data support for linguistic research
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