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Stanza Te
The Telugu (te) natural language processing model provided by Stanza supports various linguistic analysis tasks from raw text to syntax analysis and entity recognition.
Downloads 41
Release Time : 3/2/2022
Model Overview
Stanza is a precise and efficient multilingual linguistic analysis toolkit, offering state-of-the-art natural language processing models for Telugu, including tokenization, part-of-speech tagging, dependency parsing, and named entity recognition.
Model Features
Multi-Task Processing
Supports a complete processing pipeline from raw text to syntax analysis and entity recognition
Efficient and Accurate
Provides state-of-the-art natural language processing models with accurate and efficient analysis results
Multilingual Support
As part of the Stanza multilingual toolkit, it maintains consistent interfaces with other language models
Model Capabilities
Text Tokenization
Part-of-Speech Tagging
Dependency Parsing
Named Entity Recognition
Linguistic Analysis
Use Cases
Text Processing
Telugu Text Analysis
Performs linguistic analysis on Telugu text to extract grammatical structures and entity information
Obtains rich information such as tokenization, part-of-speech tagging, syntactic structures, and named entities
Linguistic Research
Telugu Grammar Research
Used to study the grammatical structures and linguistic features of Telugu
Provides precise linguistic annotation data to support research
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