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Word and sentence tokenization.

Project description

Ciseau

Word and sentence tokenization in Python.

[![PyPI version](https://badge.fury.io/py/ciseau.svg)](https://badge.fury.io/py/ciseau) [![Build Status](https://travis-ci.org/JonathanRaiman/ciseau.svg?branch=master)](https://travis-ci.org/JonathanRaiman/ciseau) ![Jonathan Raiman, author](https://img.shields.io/badge/Author-Jonathan%20Raiman%20-blue.svg)

[![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE.md)

Usage

Use this package to split up strings according to sentence and word boundaries. For instance, to simply break up strings into tokens:

` tokenize("Joey was a great sailor.") #=> ["Joey ", "was ", "a ", "great ", "sailor ", "."] `

To also detect sentence boundaries:

` sent_tokenize("Cat sat mat. Cat's named Cool.", keep_whitespace=True) #=> [["Cat ", "sat ", "mat", ". "], ["Cat ", "'s ", "named ", "Cool", "."]] `

sent_tokenize can keep the whitespace as-is with the flags keep_whitespace=True and normalize_ascii=False.

Installation

` pip3 install ciseau `

Testing

Run nose2.

Project details


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