  In this paper, we present a rule-based sentence boundary disambiguation
Python package that works out-of-the-box for 22 languages. We aim to provide a
realistic segmenter which can provide logical sentences even when the format
and domain of the input text is unknown. In our work, we adapt the Golden Rules
Set (a language-specific set of sentence boundary exemplars) originally
implemented as a ruby gem - pragmatic_segmenter - which we ported to Python
with additional improvements and functionality. PySBD passes 97.92% of the
Golden Rule Set exemplars for English, an improvement of 25% over the next best
open-source Python tool.
