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Stanza Ko

Developed by stanfordnlp
Stanza is an efficient multilingual linguistic analysis toolkit that provides functionalities from raw text processing to syntactic parsing and named entity recognition.
Sequence Labeling KoreanOpen Source License:Apache-2.0#Korean NLP#Syntactic Parsing#Named Entity Recognition
Downloads 148
Release Time : 3/2/2022

Model Overview

Stanza offers state-of-the-art natural language processing models for Korean, supporting functionalities such as tokenization, part-of-speech tagging, dependency parsing, and named entity recognition.

Model Features

Multitasking
Supports multiple natural language processing tasks such as tokenization, part-of-speech tagging, dependency parsing, and named entity recognition.
Efficient and Accurate
Provides state-of-the-art natural language processing models to ensure accuracy and efficiency in processing results.
Multilingual Support
In addition to Korean, it also supports text processing in multiple other languages.

Model Capabilities

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

Use Cases

Text Analysis
Korean Text Processing
Performs tokenization, part-of-speech tagging, and syntactic parsing on Korean text.
Generates structured text analysis results.
Named Entity Recognition
Identifies entities such as person names, place names, and organization names in Korean text.
Extracts key entity information from the text.
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