rmmseg-cpp
by pluskid
http://rmmseg-cpp.rubyforge.org
== DESCRIPTION:
rmmseg-cpp is a high performance Chinese word segmentation utility for
Ruby. It features full "Ferret":http://ferret.davebalmain.com/ integration
as well as support for normal Ruby program usage.
rmmseg-cpp is a re-written of the original
RMMSeg(http://rmmseg.rubyforge.org/) gem in C++. RMMSeg is written
in pure Ruby. Though I tried hard to tweak RMMSeg, it just consumes
lots of memory and the segmenting process is rather slow.
The interface is almost identical to RMMSeg but the performance is
much better. This gem is always preferable in production
use. However, if you want to understand how the MMSEG segmenting
algorithm works, the source code of RMMSeg is a better choice than
this.
== FEATURES/PROBLEMS:
* Runs fast and the memory consumption is small.
* Support user customized dictionaries.
* Easy Ferret integration.
== SYNOPSIS:
=== A simple script
rmmseg-cpp provides a simple script, which can read the text from
standard input and print the segmented result to standard output. Try
rmmseg -h for help on the options.
=== In a normal Ruby program
To use rmmseg-cpp in normal Ruby program, first load the package and
init by loading the dictionaries:
require 'rubygems'
require 'rmmseg'
RMMSeg::Dictionary.load_dictionaries
If you want to add customized dictionaries, append them to
+RMMSeg::Dictionary.dictionaries+ before calling +load_dictionaries+.
The formats of chars.dic and words.dic are NOT the same:
* For chars.dic, each line contains freq, a space, and then the character
* For words.dic, each line contains length, a space, and then the word.
Note length mean the length of the word, i.e. the number of characters
of the word, not number of bytes. WARNING: there should be a newline at
the end of every dictionary file.
Then create a +Algorithm+ object and call +next_token+ until got a
+nil+:
algor = RMMSeg::Algorithm.new(text)
loop do
tok = algor.next_token
break if tok.nil?
puts "#{tok.text} [#{tok.start}..#{tok.end}]"
end
=== With Ferret
To use rmmseg-cpp with Ferret, just use the analyzer provided:
analyzer = RMMSeg::Ferret::Analyzer.new { |tokenizer|
Ferret::Analysis::LowerCaseFilter.new(tokenizer)
}
index = Ferret::Index::Index.new(:analyzer => analyzer)
See misc/ferret_example.rb for a complete example.
== REQUIREMENTS:
* ruby 1.8.x
* g++
== INSTALL:
* sudo gem install rmmseg-cpp
== LICENSE:
(The MIT License)
Copyright (c) 2008 FIXME (different license?)
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
'Software'), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.