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Stanza Tr

Developed by stanfordnlp
Stanza is a precise and efficient toolkit for syntactic analysis of multiple human languages. From raw text to syntactic parsing and named entity recognition, Stanza provides state-of-the-art natural language processing models for your chosen language.
Downloads 9,214
Release Time : 3/2/2022

Model Overview

Stanza offers natural language processing capabilities for Turkish, including syntactic analysis and named entity recognition.

Model Features

Multilingual support
Supports syntactic analysis for multiple human languages, including Turkish.
Efficient and accurate
Provides state-of-the-art natural language processing models to ensure analysis accuracy.
Comprehensive functionality
Covers multiple aspects of natural language processing, from raw text to syntactic parsing and named entity recognition.

Model Capabilities

Syntactic analysis
Named entity recognition
Text processing

Use Cases

Natural language processing
Text analysis
Perform syntactic analysis and named entity recognition on Turkish text.
Provides accurate syntactic structures and entity information.
Linguistic research
Used for linguistic research and teaching of Turkish.
Helps understand Turkish grammar and structure.
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