<div dir="ltr"><div>Hi Jack,<br><br>Just to add to my previous answer:<br><br>Here's the related publication of mine:<br>Yuval Marton, Nizar Habash and Owen Rambow. “Dependency
Parsing of Modern Standard Arabic with Lexical and Inflectional Features”. Computational
Linguistics, Volume 39, Issue 1. <a href="http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00138">Online
version</a> posted November 13, 2012. <br><a href="http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00138">http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00138</a><br><br></div><div>Follow this link for the EMNLP 2013 SPMRL workshop shared task benchmark (to be published soon) : <br>
<a href="http://www.spmrl.org/spmrl2013.html">http://www.spmrl.org/spmrl2013.html</a><br><br></div><div>Anyone who is interested in trying the parser out, please email me directly (until we update the official page).<br></div>
<div>The installation assumes you have MADA (morphological analyzer) and a few other tools installed, but once installed, it provides an end-to-end pipeline from raw text to POS tags and dependency parses.<br></div><div><br>
<br></div><div>Best,<br><br></div><div>-Yuval<br><br></div><br><br></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Mon, Sep 9, 2013 at 5:00 PM, Yuval Marton <span dir="ltr"><<a href="mailto:yuvalmarton@gmail.com" target="_blank">yuvalmarton@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="auto"><div>Jack,</div><div><br></div><div>You might want to check out the Columbia CATiB parser (same group who developed Amira)</div>
<div><br></div><div><a href="http://www1.ccls.columbia.edu/~ymarton/#_Teaching" target="_blank">http://www1.ccls.columbia.edu/~ymarton/#_Teaching</a> </div><div>(resources and tools section)</div><div><br>It is one of the best dep parsers for Arabic to date, just evaluated in the EMNLP 2013 SPMRL shared task. </div>
<div><br></div><div>I can provide you with more details if you email me directly. </div><div><br></div><div>-Yuval </div><div><br>--- Pardon typos, sent from my phone --- </div><div><div class="h5"><div><br>On Sep 9, 2013, at 4:23 PM, Kevin Gimpel <<a href="mailto:kgimpel@cs.cmu.edu" target="_blank">kgimpel@cs.cmu.edu</a>> wrote:<br>
<br></div><blockquote type="cite"><div><div dir="ltr">Hi Jack,<div>TurboParser (<a href="http://www.ark.cs.cmu.edu/TurboParser/" target="_blank">http://www.ark.cs.cmu.edu/TurboParser/</a>) includes a pretrained model for Arabic. (Not sure how the AMIRA tokenization differs from the tokenization of the CoNLL-X data used to train this model, but others might know.)</div>
<div>The Stanford parser (<a href="http://nlp.stanford.edu/software/lex-parser.shtml" target="_blank">http://nlp.stanford.edu/software/lex-parser.shtml</a>) also has an Arabic model. You can get dependencies from the phrase structure parses, though not typed dependencies (<a href="http://nlp.stanford.edu/software/parser-arabic-faq.shtml#j" target="_blank">http://nlp.stanford.edu/software/parser-arabic-faq.shtml#j</a>).</div>
<div>Kevin</div><div class="gmail_extra"><br><br><div class="gmail_quote">On Mon, Sep 9, 2013 at 4:12 PM, Jack Alan <span dir="ltr"><<a href="mailto:j.o.alan2012@gmail.com" target="_blank">j.o.alan2012@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi eveyone,<div><br></div><div>I wonder if someone came a cross a dependency parser for Arabic. I've no access to any resources provided by LDC, so I'm looking for something **opensource**, i.e. free.</div>
<div><br></div><div>By the way, I'm using AMIRA[1] to perform tokenization. So, I want to feed the tokenized text into the dependency parser to do the job.</div><div><br></div><div>Could anyone pinpoint me to the proper tool to use, if any?</div>
<div><br></div><div>Jack</div><div><br></div><div><br></div><div>Ref:</div><div>[1] <span style="font-size:13px;font-family:Arial,sans-serif;line-height:16px">Diab, Mona. "Second generation AMIRA tools for Arabic processing: Fast and robust tokenization, POS tagging, and base phrase chunking." </span><i style="font-size:13px;font-family:Arial,sans-serif;line-height:16px">2nd International Conference on Arabic Language Resources and Tools</i><span style="font-size:13px;font-family:Arial,sans-serif;line-height:16px">. 2009.</span></div>
<div><span style="font-size:13px;font-family:Arial,sans-serif;line-height:16px"><br></span></div></div>
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