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Stanza Lt
Stanza is an efficient multilingual analysis toolkit that provides natural language processing capabilities from raw text to syntactic parsing and entity recognition.
Downloads 22
Release Time : 3/2/2022
Model Overview
The Stanza Lithuanian Model is specifically designed for Lithuanian natural language processing, supporting various linguistic analysis tasks including tokenization, part-of-speech tagging, syntactic parsing, and named entity recognition.
Model Features
Multi-task support
Supports various natural language processing tasks, including tokenization, part-of-speech tagging, syntactic parsing, and named entity recognition.
Efficient processing
Provides efficient linguistic analysis capabilities suitable for large-scale text processing.
Multilingual support
Supports multiple languages, including Lithuanian, catering to natural language processing needs in multilingual environments.
Model Capabilities
Text tokenization
Part-of-speech tagging
Syntactic parsing
Named entity recognition
Use Cases
Text analysis
Lithuanian text processing
Used for processing Lithuanian texts, performing tokenization, part-of-speech tagging, and syntactic parsing.
Provides accurate text analysis results to support subsequent natural language processing tasks.
Information extraction
Named entity recognition
Identifies named entities such as person names, locations, and organization names from Lithuanian texts.
Helps users quickly extract key information, improving information processing efficiency.
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