software:rewsspacepackage - Word Space Wiki

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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.).