It is working in my computer. I will write a script and run it on the whole American National Corpus and test results, memory and the type of vector produced! I talked with the Adms. and in the next few days the package should be running on the server.

• Develop in UCLA,
• Set of Java libraries,
• It is not finished; it is not dead code, though.
• There is a rich documentation regarding the algorithms and the implementation.
• Since it is a collection of algorithms, it is necessary to decide which ones are necessary!
• "The focus of this framework is to ease the development of new algorithms and the comparison against existing models." (Jurgens, Stevens).
• "Each word space algorithms is designed to run as a stand alone program and also to be used as a library class." (Jurgens, Stevens).
• The library supports word-document vectors.
• The authors affirm that it can collect more that a context-vector for a single word depending on the semantic meaning (e.g. bank as institution and bank as "Sitztgelegenheit" )
• "Libraries provide support for converting between multiple matrix formats, enabling interaction with external matrix-based program".
• SVD and randomized projections.
• From the pictures, scalability of most of the algorithms seems to grow with a linear factor!
• The package is constituted by four type of tools:
  • A library (implementation) of commonly used algorithms in semantic spaces.
  • Tools for building semantic models
  • Evaluation tools (e.g. TOEFL test for synonyms).
  • Interaction tools (e.g. queries, etc.).

• Required Software
  • svn (Subversion). Can be installed with a apt-get command:

    sudo apt-get install subversion

• To installed the package go to a target directory. The authors recommends to use the following command:

  svn checkout http://airhead-research.googlecode.com/svn/trunk/sspace sspace-read-only

• A new directory should have been created. Go to the directory and use the command

  ant

  . Ant is part of the Apache project and is used to build java libraries. It will automatically detect the file build.html and install from it. I explained here how to install ant.

• The S-Space package supports reading and writing several matrix file formats. Among those supported are
  • SVDLIBC text, sparse text, binary and sparse binary
  • Matlab and Octave dense text and sparse text formats
  • CLUTO sparse text
• The package provide an user interface, i.e., a class to used S-package from the terminal.
• The package provide utilities to process 'raw text', meaning this that these utilities presuppose corpus pre-processing! The user might select how the text files are structures, i.e., a single string data file, as files, etc. Check here for a short tutorial.

— Eduardo Aponte 2010/11/16 10:38