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        <title>Qin Gao's Softwares  mgiza</title>
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       <dc:date>2010-06-01T23:37:05-06:00</dc:date>
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        <dc:date>2009-12-11T02:21:02-06:00</dc:date>
        <title>MGIZA++ Configuration</title>
        <link>http://geek.kyloo.net/software/doku.php/mgiza:configure?rev=1260523262&amp;do=diff</link>
        <description>This section will explain all the parameters used in MGIZA++, listed in its original categories such as input/output/em.

Parameters may have different aliases, and if more than one aliases appear in the command line or configure file, the one appears latest will be kept, and the one appears in command line will override that in configure file.</description>
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        <dc:date>2010-05-10T15:36:09-06:00</dc:date>
        <title>Force Alignment Using MGIZA++</title>
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        <description>This is a mini-HOWTO on force aligning unseen test data using MGIZA++ with existing models. To force align unseen test data, you need the following staff:


	*  A set of models trained by MGIZA++. If you are training Model 1/2/3, you may use model output by GIZA++, however, if you are force aligning using IBM Model 4 or HMM, GIZA++ does not output correct model to be loaded by MGIZA++.
	*  Vocabulary of previous training. The vocabulary files are generated from plain2cooc executable, and in Mose…</description>
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        <dc:date>2010-01-23T06:15:43-06:00</dc:date>
        <title>MGIZA</title>
        <link>http://geek.kyloo.net/software/doku.php/mgiza:overview?rev=1264252543&amp;do=diff</link>
        <description>MGIZA++ is a multi-threaded word alignment tool based on GIZA++. It extends GIZA++ in multiple ways:


 Multi-threading 

MGIZA++ can make use of multi-core platforms efficiently. Usually a quad-core machine can have a three-fold speedup over single-thread GIZA++.</description>
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        <dc:date>2010-01-11T21:56:39-06:00</dc:date>
        <title>Release Notes</title>
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        <description>0.6.3


 Memory optimization

Filter vocabulary / word class and eliminate duplications. Being able to train with 34M sentence pairs and keep memory below 2G.

 Bug fix 

When log file was specified, model 3/4/5 training will occasionally encounter racing condition and crash. The unnecessary logging information is removed, because the same message is already printed on screen.</description>
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