Lingua-EN-SENNA
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      SENNA
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<h1>SENNA</h1>
<div class="level1">
<p>
  SENNA is a software distributed under
a <a href="license.html">non-commercial license</a>, which outputs a host of
Natural Language Processing (NLP) predictions: part-of-speech (POS) tags,
chunking (CHK), name entity recognition (NER), semantic role labeling
(SRL) and syntactic parsing (PSG).
</p>

<p>
  SENNA is fast because it uses a simple architecture, self-contained
because it does not rely on the output of existing NLP system, and accurate
because it offers state-of-the-art or near state-of-the-art performance.
</p>

<p>
  SENNA is written in ANSI C, with about 3500 lines of code. It requires
about 200MB of RAM and should run on any IEEE floating point computer.
</p>

<p>
Proceed to the <a href="download.html">download page</a>. Read
the <a href="#compilation">compilation section</a> in you want to compile
SENNA yourself. Try out a <a href="#check">sanity check</a>. And read about
the <a href="#usage">usage</a>.
</p>

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<h2>New in SENNA v3.0 (August 2011)</h2>
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<p>
Here are the main changes compared to SENNA v2.0:
<ul>
<li><b>Syntactic parsing.</b></li>
<li>We now include our <b>original word embeddings</b>, used to trained each task.</li>
<li>Bug correction: now outputs correctly tokens made of numbers (instead of replacing numbers by "0").</li>
<li>Option <code>-offsettags</code>, which outputs start/end offsets (in the sentence) of each token.</li>
</ul>
</p>
<p>
DISCLAIMER: Our word embeddings differ
from <a href="http://metaoptimize.com/projects/wordreprs">Joseph Turian's



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