CppjiebaRb

Ruby bindings for Cppjieba. C++11 required. (gcc 4.8+)

The TRIE tree has high memory usage. For default dict, it uses ~120 MB memory.

Installation

Add this line to your application's Gemfile:

gem 'cppjieba_rb', require: false

Or pin a version:

gem 'cppjieba_rb', '~> 0.4.4', require: false

Or install it as:

$ gem install cppjieba_rb

Usage

Segmentation mode is described in cppjieba.

Word segment Usage

Mix Segment mode (HMM with Max Prob, default):

require 'cppjieba_rb'

seg = CppjiebaRb::Segment.new  # equivalent to "CppjiebaRb::Segment.new(mode: :mix)"
words = seg.segment("令狐冲是云计算行业的专家")
# ["令狐冲", "是", "云计算", "行业", "的", "专家"]

The alternative convenient method:

CppjiebaRb.segment('令狐冲是云计算行业的专家', mode: :mix)

HMM or Max probability (mp) Segment mode:

seg = CppjiebaRb::Segment.new(mode: :hmm_ # or  mode: :mp
seg.segment("令狐冲是云计算行业的专家")

Word tagging Usage

require 'cppjieba_rb'

CppjiebaRb.segment_tag("《忍者蝙蝠侠》续集《忍者蝙蝠侠vs极道联盟》发布角色预告片。")
# {"《"=>"x", "忍者"=>"n", "蝙蝠侠"=>"n", "》"=>"x", "续集"=>"v", "vs"=>"eng", "极道"=>"x", "联盟"=>"j", "发布"=>"v", "角色"=>"n", "预告片"=>"n", "。"=>"x"}

Keyword Extractor Usage

require 'cppjieba_rb'

CppjiebaRb.extract_keyword("山西退沙村的明代鼓楼，在今年初被拆掉了。", 5)

# [
#    ["退沙村", 11.739204307083542],
#    ["拆掉", 9.65218240993],
#    ["鼓楼", 9.37888907493],
#    ["今年初", 8.89004235788],
#    ["明代", 6.52667579263]
# ]

Contributing

1. Fork it ( http://github.com/erickguan/cppjieba_rb/fork )
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create new Pull Request

TODO

• including 367w dict and provide the option for it.
• cppjieba implements trie tree, it's memory consuming