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A flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.

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Raingrams

Description

Raingrams is a flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.

Features

  • Supports ngram sizes greater than 1.
  • Supports text and non-text grams.
  • Supports Open and Closed vocabulary models.
  • Supports calculating the similarity and commonality of sample text against specified models.
  • Supports generating random text from models.

Install

$ sudo gem install raingrams

Examples

Train a model with ycombinator comments:

require 'raingrams'
require 'nokogiri'
require 'open-uri'

include Raingrams

model = BigramModel.build do |model|
  doc = Nokogiri::HTML(open('http://news.ycombinator.org/newcomments'))
  doc.search('span.comment') do |span|
    model.train_with_text(span.inner_text)
  end
end

Update a trained model:

model.train_with_text %{Interesting videos. Anders talks about
  functional support on .net, concurrency, immutability. Guy Steele
  talks about Fortress on JVM. Too bad they are afraid of macros
  (access to AST), though Steele does say Fortress has some support.}

model.refresh

Generate a random sentence:

model.random_sentence
# => "OTOOH if you use slicehost even offer to bash Apple makes it will
exit and its 38 month ago based configuration of little networks
created."

Dump a model to a file, to be marshaled later:

model.save('path/for/model')

Load a model from a file:

Model.open('path/for/model')

Copyright

Copyright (c) 2010 Hal Brodigan

See {file:LICENSE.txt} for license information.

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A flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.

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