PyRuSH
PyRuSH is the python implementation of 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.
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
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.
Release files for PyRuSH 1.0.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyrush-1.0.13.tar.gz | 115.5 kB | Details |
Built distributions (wheels)
Total release size: 7.1 MB
Release files / pyrush-1.0.13.tar.gz
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twine/6.1.0 CPython/3.13.7
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| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 Linux glibc 2.28+ x86-64 |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / pyrush-1.0.13-cp39-cp39-macosx_11_0_arm64.whl
| Download URL | pyrush-1.0.13-cp39-cp39-macosx_11_0_arm64.whl |
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| Tags | CPython 3.9 macOS 11.0+ ARM64 |
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twine/6.1.0 CPython/3.13.7
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