text: # Natural Language Tools
  
  ## Update
  
  This project is being merged into Natural, Visit [https://github.com/NaturalNode/natural](https://github.com/NaturalNode/natural) for the latest changes.
  
  ## Abstract
  
  After leaning about IBM's Watson *1, and reading Mind vs Machine *2, I wanted to better understand the state of Natural Language Processing, 
  Artificial Intelligence and Natural Language Generation. This project is not a port of any existing libraries, although it does contain some 
  code ported from Pythons NLTK, it serves more of a glue layer between existing tools, ideas and projects already used today.
  
  * 1 http://en.wikipedia.org/wiki/Watson_(artificial_intelligence_software)
  * 2 http://www.theatlantic.com/magazine/archive/2011/03/mind-vs-machine/8386/
  
  
  ## Setup
  
  Download, fork or clone the code, setup the 2 dependancies below.
  
  * To use the POS Tagger download and install from http://code.google.com/p/hunpos/
  * To use the Named Entity Tagger download and install from http://nlp.stanford.edu/software/CRF-NER.shtml
  
  ## What's Included
  
  ### Tokenization 
     - SpaceTokenizer
     - TabTokenizer
     - RegexpTokenizer   
     - WordTokenizer
     - WordPunctTokenizer (new)
     - TreeBank Tokenizer (new)
     
  ### POS Tagger (Parts of Speech Tagger)
     - HunposTagger
        - Project Home http://code.google.com/p/hunpos/ (DEPENDANCY)
        - 38 POS Tags http://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html
  
  ### NE Tagger (Named Entity Tagger)
    - The Stanford Named Entity Recognizer - http://nlp.stanford.edu/software/CRF-NER.shtml (DEPENDANCY)
      - Download and run the Java Server
      - java -mx600m -cp stanford-ner.jar edu.stanford.nlp.ie.NERServer -loadClassifier classifiers/ner-eng-ie.crf-4-conll-distsim.ser.gz -port 8000
   
  
  ### Sentence Analyses
    - Break a sentence down into different parts, subject, predicate etc.
  
  ### Stemmer
    - Using the Porter Stemming Algorithm.
    - More information about the algorithm can be found here - http://tartarus.org/~martin/PorterStemmer/.
    
  ### TF-IDF (term frequency–inverse document frequency)
    - http://en.wikipedia.org/wiki/Tf%E2%80%93idf
    
  ### n-gram
    - http://en.wikipedia.org/wiki/N-gram
    - bigrams
    - trigrams
    
      `Util.bigram(['The','fox','ran','fast']); //  [ [ 'The', 'fox' ],[ 'fox', 'ran' ],[ 'ran', 'fast' ] ]
      Util.trigram(['The','fox','ran','fast']); // [ [ 'The', 'fox', 'ran' ], [ 'fox', 'ran', 'fast' ] ]`
      
   
  ### Wordnet Bindings
   - Wordnet bindings have been started, you must download the wordnet database before you can play with it.
   
   
  ## What's Not yet Included aka TODO
  
  ### Sentence Boundary Detection
   - http://www.attivio.com/blog/57-unified-information-access/263-doing-things-with-words-part-two-sentence-boundary-detection.html
   - NLTK Source http://code.google.com/p/nltk/source/browse/trunk/nltk/nltk/tokenize/punkt.py
  
  ### Sentiment Analysis
   - http://en.wikipedia.org/wiki/Sentiment_analysis
   
  ### Bayes' theorem
   - http://en.wikipedia.org/wiki/Bayes'_theorem
   
  ### NLU
  
  #### Implement YAGO 
   This is started and well underway - http://www.mpi-inf.mpg.de/yago-naga/yago/
  
  
  #### DBPedia Bindings
   
  ## Other NODE Projects of Interest
   - http://harthur.github.com/brain/
  
  ## MIT License
  
  Copyright (c) 2011 Rob Ellis
  
  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.