Ckipnlp

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

|GitHub Version| |GitHub Release| |GitHub Issues|

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PyPI ^^^^

https://pypi.org/project/ckipnlp

|PyPI Version| |PyPI License| |PyPI Downloads| |PyPI Python| |PyPI Implementation| |PyPI Status|

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Documentation ^^^^^^^^^^^^^

https://ckipnlp.readthedocs.io/

|ReadTheDocs Home|

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Online Demo ^^^^^^^^^^^

https://ckip.iis.sinica.edu.tw/service/corenlp

Contributers ^^^^^^^^^^^^

• Mu Yang <https://muyang.pro>__ at CKIP <https://ckip.iis.sinica.edu.tw>__ (Author & Maintainer)
• Wei-Yun Ma <https://www.iis.sinica.edu.tw/pages/ma/>__ at CKIP <https://ckip.iis.sinica.edu.tw>__ (Maintainer)
• DouglasWu <dgrey1116@gmail.com>__

Installation

Requirements ^^^^^^^^^^^^

• Python <https://www.python.org>__ 3.6+
• TreeLib <https://treelib.readthedocs.io>__ 1.5+
• CkipTagger <https://pypi.org/project/ckiptagger>__ 0.2.1+ [Optional, Recommended]
• CkipClassic <https://ckip-classic.readthedocs.io>__ 1.0+ [Optional, Recommended]
• TensorFlow / TensorFlow-GPU <https://www.tensorflow.org/>__ 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.

.. attention:: To use CkipClassic Parser Client backend, please

#. Register an account at http://parser.iis.sinica.edu.tw/v1/reg.php #. Set the username and password in the pipeline's options:

.. code-block:: python

  pipeline = CkipPipeline(opts={'con_parser': {'username': YOUR_USERNAME, 'password': YOUR_PASSWORD})

Detail

See https://ckipnlp.readthedocs.io/ for full documentation.

License

|GPL-3.0|

Copyright (c) 2018-2023 CKIP Lab <https://ckip.iis.sinica.edu.tw>__ under the GPL-3.0 License <https://www.gnu.org/licenses/gpl-3.0.html>__.

.. |GPL-3.0| image:: https://www.gnu.org/graphics/gplv3-with-text-136x68.png :target: https://www.gnu.org/licenses/gpl-3.0.html