samacker77/pySBD

🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

pySBD: Python Sentence Boundary Disambiguation (SBD)

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.

Install

Python

pip install pysbd

Usage

• 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.]

Contributing

If you find a text that is incorrectly segmented using pySBD, please submit an issue.

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

Credit

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