| Name | PyRuSH JSON |
| Version |
1.0.12
JSON |
| download |
| home_page | https://github.com/jianlins/PyRuSH |
| Summary | PyRuSH is the python implementation of RuSH (Rule-based sentence Segmenter using Hashing), which is originally developed using Java. RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy. |
| upload_time | 2025-09-11 00:45:06 |
| maintainer | None |
| docs_url | None |
| author | Jianlin |
| requires_python | >=3.6 |
| license | None |
| keywords |
pyrush
nlp
sentenczier
sentence segmentation
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
Cython
spacy
PyFastNER
quicksectx
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
PyRuSH
=========
PyRuSH is the python implementation of `RuSH <https://github.com/jianlins/RuSH>`_ (**Ru** le-based sentence **S** egmenter using **H** ashing), which is originally developed using Java. RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy.
If you wish to cite RuSH in a publication, please use:
Jianlin Shi ; Danielle Mowery ; Kristina M. Doing-Harris ; John F. Hurdle.RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA Annu Symp Proc. 2016: 1587.
The full text can be found `here <https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1.3362921/2495498-1.3363244/2495498-1.3363247?timeStamp=1479743941616>`_.
Installation
------------
pip install PyRuSH
How to use
------------
A standalone RuSH class is available to be directly used in your code. From 1.0.4, pyRush adopt spaCy 3.x api to initiate an component.
>>> from PyRuSH import RuSH
>>> input_str = "The patient was admitted on 03/26/08\n and was started on IV antibiotics elevation" +\
>>> ", was also counseled to minimizing the cigarette smoking. The patient had edema\n\n" +\
>>> "\n of his bilateral lower extremities. The hospital consult was also obtained to " +\
>>> "address edema issue question was related to his liver hepatitis C. Hospital consult" +\
>>> " was obtained. This included an ultrasound of his abdomen, which showed just mild " +\
>>> "cirrhosis. "
>>> rush = RuSH('../conf/rush_rules.tsv')
>>> sentences=rush.segToSentenceSpans(input_str)
>>> for sentence in sentences:
>>> print("Sentence({0}-{1}):\t>{2}<".format(sentence.begin, sentence.end, input_str[sentence.begin:sentence.end]))
Spacy Componentized PyRuSH
---------------------------
Start from version 1.0.3, PyRuSH adds Spacy compatible Sentencizer component: PyRuSHSentencizer.
>>> from PyRuSH import PyRuSHSentencizer
>>> from spacy.lang.en import English
>>> nlp = English()
>>> nlp.add_pipe("medspacy_pyrush")
>>> doc = nlp("This is a sentence. This is another sentence.")
>>> print('\n'.join([str(s) for s in doc.sents]))
A Colab Notebook Demo
---------------------------
Feel free to try this runnable `Colab notebook Demo <https://colab.research.google.com/drive/1gX9MzZTQiPw8G3x_vUwZbiSXGtbI0uIX?usp=sharing>`_
Revision History
----------------
**1.0.11 (2025-09-02)**
- Improved sentence splitting logic: Sentences are now split at the last token before exceeding the max length, ensuring no chunk exceeds the specified limit.
- Edge case handling: Trailing whitespaces (caused by spacy sentence labeling mechanism) can be optionally split into a separate sentence (merge_gaps=False) to avoid necessarily long sentences.
**1.0.9 (2024-10-27)**
- Initial release with spaCy 3.x compatibility and core RuSH logic.
- Added Spacy-compatible PyRuSHSentencizer component.
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