pySBD - python Sentence Boundary Disambiguation (SBD) - is a rule-based sentence boundary detection module that works out-of-the-box.

This project is a direct port of ruby gem - Pragmatic Segmenter which provides rule-based sentence boundary detection.

Python

pip install pysbd 

• Currently pySBD supports only English language. Support for more languages will be released soon.

import pysbd text = "My name is Jonas E. Smith. Please turn to p. 55." seg = pysbd.Segmenter(language="en", clean=False) print(seg.segment(text)) # ['My name is Jonas E. Smith.', 'Please turn to p. 55.']

• Use pysbd as a spaCy pipeline component. (recommended)
  Please refer to example pysbd_as_spacy_component.py
• Use pysbd through entrypoints

import spacy from pysbd.utils import PySBDFactory nlp = spacy.blank('en') # explicitly adding component to pipeline # (recommended - makes it more readable to tell what's going on) nlp.add_pipe(PySBDFactory(nlp)) # or you can use it implicitly with keyword # pysbd = nlp.create_pipe('pysbd') # nlp.add_pipe(pysbd) doc = nlp('My name is Jonas E. Smith. Please turn to p. 55.') print(list(doc.sents)) # [My name is Jonas E. Smith., Please turn to p. 55.]

If you want to contribute new feature/language support or found a text that is incorrectly segmented using pySBD, then please head to CONTRIBUTING.md to know more and follow these steps.

1. Fork it ( https://github.com/nipunsadvilkar/pySBD/fork )
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new Pull Request

This project wouldn't be possible without the great work done by Pragmatic Segmenter team.