Skip to main content

CKIP CoreNLP

Project description

CKIP CoreNLP Toolkit

Features

  • Sentence Segmentation
  • Word Segmentation
  • Part-of-Speech Tagging
  • Named-Entity Recognition
  • Constituency Parsing
  • Coreference Resolution

Contributers

Installation

Requirements

Driver Requirements

Driver Built-in CkipTagger CkipClassic
Sentence Segmentation    
Word Segmentation†  
Part-of-Speech Tagging†  
Constituency Parsing    
Named-Entity Recognition    
Coreference Resolution‡
  • † These drivers require only one of either backends.
  • ‡ Coreference implementation does not require any backend, but requires results from word segmentation, part-of-speech tagging, constituency parsing, and named-entity recognition.

Installation via Pip

Usage

See https://ckipnlp.readthedocs.io/ for API details.

License

CC BY-NC-SA 4.0

Copyright (c) 2018-2020 CKIP Lab under the CC BY-NC-SA 4.0 License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for ckipnlp, version 0.9.0
Filename, size File type Python version Upload date Hashes
Filename, size ckipnlp-0.9.0-py3-none-any.whl (58.6 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size ckipnlp-0.9.0.tar.gz (46.4 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page