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        <title>Word Space Wiki software</title>
        <description></description>
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       <dc:date>2026-04-04T18:57:29+00:00</dc:date>
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        <title>Word Space Wiki</title>
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        <dc:date>2010-12-06T14:46:16+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>software:gensim</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:gensim?rev=1291643176&amp;do=diff</link>
        <description>Gensim Vector Space Modelling

Introduction

Gensim is a python module for vector space modeling, and it is extremely neat. It implements an incremental stochastic singular value decomosition algorithm that may be computed on distributed computer networks.</description>
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        <dc:date>2010-11-01T14:07:22+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>software:hidex</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:hidex?rev=1288616842&amp;do=diff</link>
        <description>General

	*   Easy installation (around 15 reading the manual)
	*   The authors suggest that the software can deal with huge corpora quickly.
	*   Download the software
	*   Manual.
	*   Corpus.
	*   Hidex is intended to produce Hal models introduced by Curt Burgess in 1996.
	*   The software is extremely new (it is in the version 0.03) so it is hard to know if it works adequately.</description>
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        <dc:date>2010-12-01T16:29:22+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>software:localgensimenvironment</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:localgensimenvironment?rev=1291217362&amp;do=diff</link>
        <description>Within the IKW network, there is a local installation of gensim (which in turn depends on Numpy &gt;= 1.4 (current version on IKW machines is 1.3) and Pyro &gt;=4.1), residing in
/net/data/CL/projects/wordspace/gensim_local

to use it, change into this directory and run</description>
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        <dc:date>2018-07-26T11:58:52+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>software:miscellaneous</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:miscellaneous?rev=1532599132&amp;do=diff</link>
        <description>DELETEME</description>
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        <dc:date>2010-11-16T10:57:29+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>software:rewdivisi2</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:rewdivisi2?rev=1289901449&amp;do=diff</link>
        <description>General

	*  Divisi2 is embedded in a larger project on knowledge representation (semantic networks and the like) in the MIT, so it is intended to be used in applications in AI and not in linguistics.
	*  It is a SVD (singular value decomposition) library for</description>
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        <dc:date>2010-12-07T11:58:06+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>software:rewinfomap</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:rewinfomap?rev=1291719486&amp;do=diff</link>
        <description>This page is under construction!

General

	*   Infomap NLP Software: Not in development any more. The authors recommend to use SemanticVectors instead!!!
		*   Uses Latent Semantic Analysis
		*   The implementation is in C.
		*   Documentation: &lt;http://infomap-nlp.sourceforge.net/doc/&gt;
		* `language models&#039; and to perform information retrieval tasks on the such models
    *  Simple input format
    *  You might need gdbm libraries. I had troubles installing this libraries in my laptop. In the p…</description>
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        <dc:date>2010-11-01T14:07:23+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>software:rewsemvector</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:rewsemvector?rev=1288616843&amp;do=diff</link>
        <description>General

SemanticVectors: Still in development and maintenance. It seems to be a nice possibility. However there are several problems with the compatibility of Lucene and SV.

	*   Written in Java 
	*   Good sponsored!
	*   Uses a Random Projection Algorithm</description>
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        <dc:date>2018-07-26T11:57:32+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>software:rewsenseclusters</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:rewsenseclusters?rev=1532599052&amp;do=diff</link>
        <description>DELETEME</description>
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        <dc:date>2010-12-07T12:53:51+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>software:rewsspacepackage</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:rewsspacepackage?rev=1291722831&amp;do=diff</link>
        <description>General

	*  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!</description>
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        <dc:date>2018-07-26T11:58:10+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>software:rewwordspaces</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:rewwordspaces?rev=1532599090&amp;do=diff</link>
        <description>DELETEME</description>
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        <dc:date>2018-08-06T12:06:29+00:00</dc:date>
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        <title>software:start</title>
        <link>http://www.wordspace.collocations.de/doku.php/software:start?rev=1533549989&amp;do=diff</link>
        <description>DSM Software and Data Sets

[Under Construction]



This page is under construction.





Off-the-shelf software packages for DSM

Python

	*  Gensim – high-performance topic modelling
	*  Vecto – a new framework for count &amp; predict models
	*  DISSECT – easy-to-use package developed by the COMPOSES project</description>
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