Words - A fast, easy to use interface to WordNet® with cross ruby distribution compatability.
Words implements a fast interface to Wordnet® which provides both a pure ruby and an FFI powered backend over the same easy-to-use API. The FFI backend makes use of Tokyo Cabinet and the FFI interface, rufus-tokyo, to provide cross ruby distribution compatability and blistering speed. The pure ruby interface operates on a special ruby optimised index along with the basic dictionary files provided by WordNet®. I have attempted to provide ease of use in the form of a simple yet powerful api and installation is a sintch!
- Version 0.2 Introduced Pure Ruby Backend
- Version 0.3 Introduced Evocation Support (see examples & below) as developed by the Wordnet® Evocation Project
- Version 0.4 Substantial performance increase in pure mode (now faster at some things than the tokyo backend) and simplification of use! Full refactoring. Move to RSpec for testing. API CHANGES: Words::Words -> Words::Wordnet, close -> close!, connected -> connected? and evocations_enabled? -> evocations?
Documentation: Yardoc Live
First ensure you have a copy of the wordnet data files. This is generally available from your Linux/OSX package manager:
#Ubuntu sudo apt-get install wordnet-base #Fedora/RHL sudo yum update wordnet #OSX HomeBrew sudo brew install wordnet #MacPorts sudo port install wordnet
or you can simply download and install (Unix/OSX):
wget http://wordnetcode.princeton.edu/3.0/WNdb-3.0.tar.gz sudo mkdir /usr/local/share/wordnet sudo tar -C /usr/local/share/wordnet/ -xzf WNdb-3.0.tar.gz
Download http://wordnetcode.princeton.edu/3.0/WNdb-3.0.tar.gz Unzip # due to the way windows tends not to have a folder for things you will # have to specify the location of the wordnet files when using the gem
For Tokyo Backend Only
Unless you want to use the tokyo backend you are now ready to install Words (and build the data if you want extras), otherwise if you want to use the tokyo backend (FAST!) you will also need Tokyo Cabinet installed. It should be nice and easy... something like:
# osx users should, if ports is installed, simply do sudo ports install tokyocabinet # otherwise the best route is from source wget http://1978th.net/tokyocabinet/tokyocabinet-1.4.41.tar.gz tar -xzf tokyocabinet-1.4.41.tar.gz cd tokyocabinet-1.4.41/ ./configure make sudo make install
After this it should be just a gem to install. For those of you with old rubygems versions first:
gem install gemcutter # These two steps are only necessary if you haven't gem tumble # yet installed the gemcutter tools
Otherwise and after it's simply:
gem install words
Then your ready to rock and roll. :)
If all you want to do is use wordnet in it's standard form you don't have to do any databuilding and can skip this section. If however you either want to take advantage of evocations (Wordnet® Evocation Project) or want to use the tokyo backend, read on!
To build the wordnet dataset file yourself, from the original wordnet files, you can use the bundled "build_wordnet" command
build_wordnet -h # this will give you the usage information & additional options/features # this would attempt to build the tokyo backend data locating the original wordnet # files through a search... sudo build_wordnet --build-tokyo # this would attempt to build the tokyo backend locating the original wordnet files # through a search with the addition of evocation support... sudo build_wordnet --build-tokyo-with-evocations # this would attempt to build evocation support for the pure backend # (remember no dataset needs to be built to use wordnet with the pure backend) sudo build_wordnet --build-pure-evocations
Heres a few little examples of using words within your programs.
require 'rubygems' require 'words' data = Words::Wordnet.new # or: data = Words::Wordnet.new(:tokyo) for the tokyo backend # to specify a wordnet path Words::Words.new(:pure, '/path/to/wordnet') # to specify the tokyo dataset Words::Words.new(:pure, :search, '/path/to/data.tct') # play with connections data.connected? # => true data.close! data.connected? # => false data.open! data.connected? # => true data.connection_type # => :pure or :tokyo depending... # locate a word lemma = data.find("bat") lemma.to_s # => bat, noun/verb lemma.available_pos.inspect # => [:noun, :verb] lemma.synsets(:noun) # => array of synsets which represent nouns of the lemma bat # or lemma.nouns # => array of synsets which represent nouns of the lemma bat lemma.noun_ids # => array of synsets ids which represent nouns of the lemma bat lemma.verbs? #=> true # specify a sense sense = lemma.nouns.last sense2 = lemma.nouns sense.gloss # => a club used for hitting a ball in various games sense2.words # => ["cricket bat", "bat"] sense2.lexical_description # => a description of the lexical meaning of the synset sense.relations.first # => "Semantic hypernym relation between n02806379 and n03053474" sense.relations(:hyponym) # => Array of hyponyms associated with the sense # or sense.hyponyms # => Array of hyponyms associated with the sense sense.hyponyms? # => true sense.relations.first.is_semantic? # => true sense.relations.first.source_word # => nil sense.relations.first.destination # => the synset of n03053474 sense..first.is_semantic? # => false sense..first.source_word # => "bat" sense..first.destination_word # => "bat" sense..first.destination # => the synset of v01413191 if data.evocations? # check for evocation support data.find("broadcast").senses.first.evocations # => sense relevant evocations data.find("broadcast").senses.first.evocations # => the evocation at index 1 data.find("broadcast").senses.first.evocations[:destination].words # => synset end data.close!
These and more examples are available from within the examples.rb file!
Note on Patches/Pull Requests
- Fork the project.
- Make your feature addition or bug fix.
- Add tests for it. This is important so I don't break it in a future version unintentionally.
- Commit, do not mess with rakefile, version, or history. (if you want to have your own version, that is fine but bump version in a commit by itself I can ignore when I pull)
- Send me a pull request. Bonus points for topic branches.
Copyright (c) 2010 Roja Buck. See LICENSE for details.