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	<title>Comments on: Getting OpenNLP parser to work</title>
	<atom:link href="http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/</link>
	<description>&#62; From inner thoughts to the outer limits of Alexandre Rafalovitch</description>
	<pubDate>Wed, 20 Aug 2008 18:58:28 +0000</pubDate>
	<generator>http://wordpress.org/?v=2.6.1</generator>
		<item>
		<title>By: Alexandre Rafalovitch</title>
		<link>http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-238</link>
		<dc:creator>Alexandre Rafalovitch</dc:creator>
		<pubDate>Wed, 28 May 2008 12:14:57 +0000</pubDate>
		<guid isPermaLink="false">http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-238</guid>
		<description>Quek,

I don't buy 'read the source' argument in the context of this article. Code, and especially NLP code, is not easy to read and therefore has a higher learning curve than tutorials and good documentations. Therefore, people with not enough time (or patience) will drop out early and go look at something else.  That's why one of the measure of success for open source projects is whether they have a good introductory book published.

Obviously, not everything can be documented, but it should be easy to at least start quickly and judge whether it is worth spending extra time on looking through the code.

That's what happened with Stanford parser for me. There was just enough documentation to start and then I read the source to figure out &lt;a href="http://blog.outerthoughts.com/2007/07/duplicating-tagseparator-effect-when-using-stanford-parser-programmatically/" rel="nofollow"&gt;the additional options&lt;/a&gt;.</description>
		<content:encoded><![CDATA[<p>Quek,</p>
<p>I don&#8217;t buy &#8216;read the source&#8217; argument in the context of this article. Code, and especially NLP code, is not easy to read and therefore has a higher learning curve than tutorials and good documentations. Therefore, people with not enough time (or patience) will drop out early and go look at something else.  That&#8217;s why one of the measure of success for open source projects is whether they have a good introductory book published.</p>
<p>Obviously, not everything can be documented, but it should be easy to at least start quickly and judge whether it is worth spending extra time on looking through the code.</p>
<p>That&#8217;s what happened with Stanford parser for me. There was just enough documentation to start and then I read the source to figure out <a href="http://blog.outerthoughts.com/2007/07/duplicating-tagseparator-effect-when-using-stanford-parser-programmatically/" rel="nofollow">the additional options</a>.</p>
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		<title>By: quek</title>
		<link>http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-237</link>
		<dc:creator>quek</dc:creator>
		<pubDate>Wed, 28 May 2008 03:52:50 +0000</pubDate>
		<guid isPermaLink="false">http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-237</guid>
		<description>dude... daniel maclaren's tutorial is based on code within the OpenNLP package itself. In fact almost all the code's taken from the english.* java files. It is open source after all, all you have to do is read through the source. chill man chill.</description>
		<content:encoded><![CDATA[<p>dude&#8230; daniel maclaren&#8217;s tutorial is based on code within the OpenNLP package itself. In fact almost all the code&#8217;s taken from the english.* java files. It is open source after all, all you have to do is read through the source. chill man chill.</p>
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	<item>
		<title>By: Karalabe</title>
		<link>http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-239</link>
		<dc:creator>Karalabe</dc:creator>
		<pubDate>Tue, 08 Apr 2008 19:41:44 +0000</pubDate>
		<guid isPermaLink="false">http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-239</guid>
		<description>You can use 2 lines of code to get you're sentences parsed :) [figured it out partly thanks to the tutorial you linked in]

&lt;code&gt;
String sentence = "This is some random sentence to get you started";

// Load the serialized parser
ParserME parser = TreebankParser.getParser("wherever-your-parser-dir-is/");

// Parse the sentence, and fetch an array containing the best 1 parses, access the first (0) element and display it
TreebankParser.parseLine(sentence, parser, 1)[0].show();
&lt;/code&gt;</description>
		<content:encoded><![CDATA[<p>You can use 2 lines of code to get you&#8217;re sentences parsed <img src='http://blog.outerthoughts.com/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> [figured it out partly thanks to the tutorial you linked in]</p>
<p><code><br />
String sentence = "This is some random sentence to get you started";</p>
<p>// Load the serialized parser<br />
ParserME parser = TreebankParser.getParser("wherever-your-parser-dir-is/");</p>
<p>// Parse the sentence, and fetch an array containing the best 1 parses, access the first (0) element and display it<br />
TreebankParser.parseLine(sentence, parser, 1)[0].show();<br />
</code></p>
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	</item>
	<item>
		<title>By: Alexandre Rafalovitch</title>
		<link>http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-236</link>
		<dc:creator>Alexandre Rafalovitch</dc:creator>
		<pubDate>Sat, 16 Feb 2008 17:33:31 +0000</pubDate>
		<guid isPermaLink="false">http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-236</guid>
		<description>Thank you Alyona,

This looks interesting as well.</description>
		<content:encoded><![CDATA[<p>Thank you Alyona,</p>
<p>This looks interesting as well.</p>
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		<title>By: Alyona</title>
		<link>http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-235</link>
		<dc:creator>Alyona</dc:creator>
		<pubDate>Wed, 13 Feb 2008 21:58:01 +0000</pubDate>
		<guid isPermaLink="false">http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-235</guid>
		<description>I found this tutorial useful:
http://www.codeproject.com/KB/recipes/englishparsing.aspx</description>
		<content:encoded><![CDATA[<p>I found this tutorial useful:<br />
<a href="http://www.codeproject.com/KB/recipes/englishparsing.aspx" rel="nofollow">http://www.codeproject.com/KB/.....rsing.aspx</a></p>
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		<title>By: Jeryl</title>
		<link>http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-234</link>
		<dc:creator>Jeryl</dc:creator>
		<pubDate>Tue, 11 Dec 2007 00:44:42 +0000</pubDate>
		<guid isPermaLink="false">http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-234</guid>
		<description>worked for me, whats your email i can send u sample code(as eclipse project with junit tests.)</description>
		<content:encoded><![CDATA[<p>worked for me, whats your email i can send u sample code(as eclipse project with junit tests.)</p>
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	<item>
		<title>By: Alexandre Rafalovitch</title>
		<link>http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-233</link>
		<dc:creator>Alexandre Rafalovitch</dc:creator>
		<pubDate>Sun, 12 Aug 2007 12:56:05 +0000</pubDate>
		<guid isPermaLink="false">http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-233</guid>
		<description>Matthew,

Same application as with the previous two parsers: trying to extract complex named entities out of long, non-trivial sentences.</description>
		<content:encoded><![CDATA[<p>Matthew,</p>
<p>Same application as with the previous two parsers: trying to extract complex named entities out of long, non-trivial sentences.</p>
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		<title>By: Matthew</title>
		<link>http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-232</link>
		<dc:creator>Matthew</dc:creator>
		<pubDate>Sun, 12 Aug 2007 11:36:23 +0000</pubDate>
		<guid isPermaLink="false">http://blog.outerthoughts.com/2007/08/getting-opennlp-parser-to-work/#comment-232</guid>
		<description>Sounds fun.  Any particular application in mind for this toolset?</description>
		<content:encoded><![CDATA[<p>Sounds fun.  Any particular application in mind for this toolset?</p>
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