<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>gnucom.cc &#187; NLP</title>
	<atom:link href="http://blog.gnucom.cc/tag/natural-language-processing/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.gnucom.cc</link>
	<description>Code snippets and more...</description>
	<lastBuildDate>Wed, 18 Jan 2012 23:50:48 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	
		<item>
		<title>Wordnet Vocabulary &amp; Definitions</title>
		<link>http://blog.gnucom.cc/2010/wordnet-vocabulary-definitions/</link>
		<comments>http://blog.gnucom.cc/2010/wordnet-vocabulary-definitions/#comments</comments>
		<pubDate>Wed, 08 Sep 2010 05:34:04 +0000</pubDate>
		<dc:creator>sholsapp</dc:creator>
				<category><![CDATA[NLP]]></category>
		<category><![CDATA[wordnet]]></category>

		<guid isPermaLink="false">http://blog.gnucom.cc/?p=1023</guid>
		<description><![CDATA[This was taken from http://en.wikipedia.org/wiki/WordNet on September 7th, 2010 because, well, I just needed it quickly accessible. Nouns hypernyms Y is a hypernym of X if every X is a (kind of) Y canine is a hypernym of dog, because every dog is a member of the larger category of canines hyponyms Y is a [...]]]></description>
		<wfw:commentRss>http://blog.gnucom.cc/2010/wordnet-vocabulary-definitions/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Using the Stanford Parser with Jython.</title>
		<link>http://blog.gnucom.cc/2010/using-the-stanford-parser-with-jython/</link>
		<comments>http://blog.gnucom.cc/2010/using-the-stanford-parser-with-jython/#comments</comments>
		<pubDate>Fri, 16 Jul 2010 21:16:06 +0000</pubDate>
		<dc:creator>sholsapp</dc:creator>
				<category><![CDATA[NLP]]></category>
		<category><![CDATA[Programming]]></category>
		<category><![CDATA[jython]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[stanford parser]]></category>

		<guid isPermaLink="false">http://blog.gnucom.cc/?p=798</guid>
		<description><![CDATA[The following code is a Jython adaptation of the example Java code that comes with the Stanford Parser. I felt like this would be pretty useful to have as a resource because Python doesn&#8217;t have a parser that generates grammatical relationships in a sentence, and I wasn&#8217;t able to find any example code to help [...]]]></description>
		<wfw:commentRss>http://blog.gnucom.cc/2010/using-the-stanford-parser-with-jython/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Annotated List of Hadoop Tutorials</title>
		<link>http://blog.gnucom.cc/2010/annotated-list-of-hadoop-tutorials/</link>
		<comments>http://blog.gnucom.cc/2010/annotated-list-of-hadoop-tutorials/#comments</comments>
		<pubDate>Thu, 15 Jul 2010 18:54:47 +0000</pubDate>
		<dc:creator>sholsapp</dc:creator>
				<category><![CDATA[Programming]]></category>
		<category><![CDATA[hadoop]]></category>
		<category><![CDATA[NLP]]></category>
		<category><![CDATA[resources]]></category>

		<guid isPermaLink="false">http://blog.gnucom.cc/?p=769</guid>
		<description><![CDATA[Official Tutorials The official Hadoop tutorial by Apache. Tutorial uses Hadoop classes with Java mappers and reducers to calculate word counts from several example books. Tutorial is very thorough and informative &#8211; good for first time Hadoop users to introduce all the components and ideas. The official Hadoop tutorial by Yahoo. Is essentially the same [...]]]></description>
		<wfw:commentRss>http://blog.gnucom.cc/2010/annotated-list-of-hadoop-tutorials/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Natural Language Processing Resources.</title>
		<link>http://blog.gnucom.cc/2009/507/</link>
		<comments>http://blog.gnucom.cc/2009/507/#comments</comments>
		<pubDate>Sat, 26 Sep 2009 20:56:47 +0000</pubDate>
		<dc:creator>sholsapp</dc:creator>
				<category><![CDATA[NLP]]></category>
		<category><![CDATA[resources]]></category>

		<guid isPermaLink="false">http://gnucom.cc/blog/?p=507</guid>
		<description><![CDATA[http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&#038;tid=8106 &#8220;WordNet, an electronic lexical database, is considered to be the most important resource available to researchers in computational linguistics, text analysis, and many related areas. Its design is inspired by current psycholinguistic and computational theories of human lexical memory. English nouns, verbs, adjectives, and adverbs are organized into synonym sets, each representing one underlying [...]]]></description>
		<wfw:commentRss>http://blog.gnucom.cc/2009/507/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>

