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	<title>Comments on: Relevance-based language modeling</title>
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	<link>http://mendicantbug.com/2008/10/14/relevance-based-language-modeling/</link>
	<description>Wanderings into computational linguistics, science, social media and life...</description>
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		<title>By: Jason Adams</title>
		<link>http://mendicantbug.com/2008/10/14/relevance-based-language-modeling/#comment-1072</link>
		<dc:creator><![CDATA[Jason Adams]]></dc:creator>
		<pubDate>Fri, 24 Oct 2008 23:40:12 +0000</pubDate>
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		<description><![CDATA[I was just thinking about that statement today.  Maybe it&#039;s not &lt;i&gt;that&lt;/i&gt; old.  I guess the 1990 Brown et al &lt;a href=&quot;http://portal.acm.org/citation.cfm?id=92860&amp;dl=%23url.dl&quot; rel=&quot;nofollow&quot;&gt;paper&lt;/a&gt; on statistical MT is a classic.  Maybe the fact that I am only reaching back 18 years is telling, since Sapir &amp; Co. was much earlier.  We do frequently go back to the Shannon paper on information theory, but that&#039;s not really nlp.]]></description>
		<content:encoded><![CDATA[<p>I was just thinking about that statement today.  Maybe it&#8217;s not <i>that</i> old.  I guess the 1990 Brown et al <a href="http://portal.acm.org/citation.cfm?id=92860&amp;dl=%23url.dl" rel="nofollow">paper</a> on statistical MT is a classic.  Maybe the fact that I am only reaching back 18 years is telling, since Sapir &amp; Co. was much earlier.  We do frequently go back to the Shannon paper on information theory, but that&#8217;s not really nlp.</p>
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		<title>By: Chris</title>
		<link>http://mendicantbug.com/2008/10/14/relevance-based-language-modeling/#comment-1070</link>
		<dc:creator><![CDATA[Chris]]></dc:creator>
		<pubDate>Fri, 24 Oct 2008 23:28:18 +0000</pubDate>
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		<description><![CDATA[If 2001 is old, maybe NLP has jumped the academic shark, hehe.  There is somethign to be said for classics.  Linguists still read early Sapir,  Fillmore, Dowty.  Is there a classic work in NLP that never goes out of date?]]></description>
		<content:encoded><![CDATA[<p>If 2001 is old, maybe NLP has jumped the academic shark, hehe.  There is somethign to be said for classics.  Linguists still read early Sapir,  Fillmore, Dowty.  Is there a classic work in NLP that never goes out of date?</p>
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