0.0
No commit activity in last 3 years
No release in over 3 years
segments text according word frequency using the Viterbi algorithm.
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
 Dependencies

Development

~> 1.13
~> 0.9.12.2
~> 10.0
~> 3.0
 Project Readme

SegmentRuby

SegmentRuby is a module for segmenting (English) text based on various language models.

Installation

Add this line to your application's Gemfile:

gem 'segment_ruby'

And then execute:

$ bundle

Or install it yourself as:

$ gem install segment_ruby

Usage

require 'segment_ruby'
t = SegmentRuby::Analyzer.new(:twitter)
t.segment("theboywholived")
=> ["the", "boy", "who", "lived"]

Models include:

  • :norvig: based on Google web data
  • :google_books: based on Google books data
  • :anchor: based on Web anchor text
  • :twitter: based on Twitter data
  • :small: smaller version of the Google books data
  • :us_names: US names, based on SSI data

The default model is small. Use it if is seems to work for you.

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/willf/segment_ruby.