CKIP CoreNLP Toolkit
Features
Sentence Segmentation
Word Segmentation
Part-of-Speech Tagging
Named-Entity Recognition
Constituency Parsing
Coreference Resolution
Git
https://github.com/ckiplab/ckipnlp
PyPI
https://pypi.org/project/ckipnlp
Documentation
https://ckipnlp.readthedocs.io/
Online Demo
Contributers
Wei-Yun Ma at CKIP (Maintainer)
Installation
Requirements
Python 3.6+
TreeLib 1.5+
CkipTagger 0.2.1+ [Optional, Recommended]
CkipClassic 1.0+ [Optional, Recommended]
TensorFlow / TensorFlow-GPU 1.13.1+ [Required by CkipTagger]
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
No backend (not recommended): pip install ckipnlp.
With CkipTagger backend (recommended): pip install ckipnlp[tagger] or pip install ckipnlp[tagger-gpu].
With CkipClassic Parser Client backend (recommended): pip install ckipnlp[classic].
With CkipClassic offline backend: Please refer https://ckip-classic.readthedocs.io/en/latest/main/readme.html#installation for CkipClassic installation guide.
Detail
See https://ckipnlp.readthedocs.io/ for API details.
License
Copyright (c) 2018-2020 CKIP Lab under the CC BY-NC-SA 4.0 License.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ckipnlp-0.10.0.tar.gz.
File metadata
- Download URL: ckipnlp-0.10.0.tar.gz
- Upload date:
- Size: 47.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
128317516407bf010db2a1a824acf251bbe026887b3c45f6fd7fc3a1c28356e9
|
|
| MD5 |
1c71f49d33c0c861d5fa3faa5d4a0f3d
|
|
| BLAKE2b-256 |
99449bb09a2c6da8294403db226a0cee2505423b6af72deebfe4829e160ba98d
|
File details
Details for the file ckipnlp-0.10.0-py3-none-any.whl.
File metadata
- Download URL: ckipnlp-0.10.0-py3-none-any.whl
- Upload date:
- Size: 59.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3784a15896e5db5fd8692612b2a15942b16ccb5162bbbb69721903ff3ad409b5
|
|
| MD5 |
507c95208196629a943be9e94b1ede3b
|
|
| BLAKE2b-256 |
de9b340be850e4bf9eda01d1c6852aced457eea5147492cc6b56435b1e9a5ca8
|
