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	<title>FoPra:Modelling natural language with Topological Dependency Grammar</title>
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<br /><br />
<a href="http://www.uni-saarland.de/en">Saarland University</a><br />
<a href="http://www.cs.uni-saarland.de/index.php?lang=en">Informatics</a><br />
<a href="http://www.ps.uni-saarland.de/">Programming Systems</a><br />
<a href="http://www.ps.uni-saarland.de/%7Emmohl/">Mathias M&ouml;hl</a><br />
<a href="http://www.ps.uni-saarland.de/%7Emmohl/fopra.html">FoPra</a><br />

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<h2>Fortgeschrittenen Praktikum:</h2>
<h1> Modelling natural language with Topological Dependency Grammar</h1>
<p>
by <a href="http://www.ps.uni-saarland.de/~mmohl/">Mathias M&ouml;hl</a><br />
supervised by <a href="http://www.ps.uni-saarland.de/~rade/">Ralph Debusmann</a>
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<h2> Goals </h2>
<p>The goal of my FoPra is to create a German grammar for a grammar formalism
which is called Topological Dependency Grammar (TDG) and was developed by
Denys Duchier and Ralph Debusmann.</p>
<p>There already exists a small TDG grammar for German, but this grammar is
handcrafted and has only a very small coverage.
In this approach we try to induce a grammar from a given corpus,
the <a href="http://www.ims.uni-stuttgart.de/projekte/TIGER/TIGERCorpus/">
Negra/Tiger corpus</a> of German newspaper texts.</p><p>
The work is mainly based on the research of Christian Korthals who has developed
a system which learns parts of a TDG grammar from this corpus.
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You can download the <a href="docs/bericht_fopra.ps"> final report </a> here.
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