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<h1>MaltParser</h1>
<div id="navtop">Modified: February 18 2018</div>
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<h2 id="conll2007">MaltParser 0.4 in the CoNLL 2007 Shared Task</h2>
<p>MaltParser 0.4 was used in the multi-lingual track of the CoNLL 2007 Shared Task in the systems that obtained the first and fifth best overall scores. The fifth best system was a single-parser system, called Single Malt, while the top scoring system
was an ensemble system, called Blended, incorporating six incarnations of MaltParser.</p>
<p>The systems are described in Hall et al. (2007). More information is available at:</p>
<ul>
<li class="pub"><a href="http://nextens.uvt.nl/depparse-wiki/SharedTaskWebsite" target="_blank">CoNLL Shared Task 2007 on Dependency Parsing</a> (home page of the shared task with
all the official results)</li>
<li class="pub"><a href="http://maltparser.org/conll/conll07/" target="_blank">MaltParser 0.4 in the CoNLL Shared Task 2007 - Multilingual Track</a>
(local page with complete information about feature models, options, etc.)</li>
</ul>
<h2 id="conllx">MaltParser 0.4 in the CoNLL-X Shared Task</h2>
<p>MaltParser 0.4 was used in the CoNLL-X Shared Task on multi-lingual dependency parsing in the system
that obtained the second best overall score, not significantly worse than the best score, and that
achieved top results for nine languages out of thirteen (with results significantly better
than any other system for Japanese, Swedish and Turkish). In this system, MaltParser was combined
with pseudo-projective parsing, which requires preprocessing of training data and post-processing
of parser output (Nivre and Nilsson 2005). The complete system is described
in Nivre et al. (2006). More information is available at:</p>
<ul>
<li class="pub"><a href="http://nextens.uvt.nl/~conll/" target="_blank">CoNLL-X Shared Task: Multi-lingual Dependency Parsing</a>
(home page of the shared task with all the official results)</li>
<li class="pub"><a href="http://maltparser.org/conll/conllx/" target="_blank">MaltParser 0.4 in the CoNLL-X Shared Task</a>
(local page with complete information about feature models, options, etc.)</li>
</ul>
<p id="footer">Copyright &copy; Johan Hall, Jens Nilsson and Joakim Nivre</p>
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