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	<title>Comments on: How Unbound Concepts crunches readability, or how big data could help improve literacy</title>
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	<link>http://gigaom.com/2013/03/15/how-unbound-concepts-crunches-readability-or-how-big-data-could-help-improve-literacy/</link>
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		<title>By: ronald</title>
		<link>http://gigaom.com/2013/03/15/how-unbound-concepts-crunches-readability-or-how-big-data-could-help-improve-literacy/#comment-1320240</link>
		<dc:creator><![CDATA[ronald]]></dc:creator>
		<pubDate>Fri, 15 Mar 2013 14:16:01 +0000</pubDate>
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		<description><![CDATA[Reading starts with spacing/weight sequencing of characters/words
Meaning/comprehension is based on context(based on above)
Semantics are based on Meaning (2year old knows the meaning before the semantics)
Google doesn&#039;t understand anything, they associate keywords with intent. 

Why do companies try to &quot;solve&quot; problems with yesterdays guess, just because yesterdays assumptions can be automated? If you want to improve reading you have to differentiate context, which might start with the device you use for reading(spacing). From K to Ph.D .]]></description>
		<content:encoded><![CDATA[<p>Reading starts with spacing/weight sequencing of characters/words<br />
Meaning/comprehension is based on context(based on above)<br />
Semantics are based on Meaning (2year old knows the meaning before the semantics)<br />
Google doesn&#8217;t understand anything, they associate keywords with intent. </p>
<p>Why do companies try to &#8220;solve&#8221; problems with yesterdays guess, just because yesterdays assumptions can be automated? If you want to improve reading you have to differentiate context, which might start with the device you use for reading(spacing). From K to Ph.D .</p>
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