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	<title>Comments on: Left as an Exercise for the Student: Stealth Scanno Detector</title>
	<atom:link href="http://williamtozier.com/slurry/2006/10/16/stealth-scanno-detector/feed" rel="self" type="application/rss+xml" />
	<link>http://williamtozier.com/slurry/2006/10/16/stealth-scanno-detector</link>
	<description>Pontification without all the gritty gravitas</description>
	<pubDate>Sun, 20 Jul 2008 00:13:03 +0000</pubDate>
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		<title>By: Branko Collin</title>
		<link>http://williamtozier.com/slurry/2006/10/16/stealth-scanno-detector#comment-4929</link>
		<dc:creator>Branko Collin</dc:creator>
		<pubDate>Mon, 30 Oct 2006 22:10:38 +0000</pubDate>
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		<description>"&lt;i&gt;A value of 0.000 in position &lt;/i&gt;i&lt;i&gt; of the vector indicates that there is &lt;/i&gt;definitely&lt;i&gt; no scanno present at a character position &lt;/i&gt;i&lt;i&gt;, while a value of 1.0 means that your method has determined there is &lt;/i&gt;absolutely for sure&lt;i&gt; a scanno present in that position.&lt;/i&gt;"

When "arid" occurs for "and" in your stream, your predictor should only produce values of 1.000, which is perhaps not very useful.

A handier solution might be to predict the transformation that needs to be made at a certain position to correct the input text. The predictor should then skip to the next character that is not part of that transformation. (Although even that would be problematic if you could predict more than one transformation for a given location.)

A transformation could for instance be a substitution, a deletion or an insertion.</description>
		<content:encoded><![CDATA[<p>&#8220;<i>A value of 0.000 in position </i>i<i> of the vector indicates that there is </i>definitely<i> no scanno present at a character position </i>i<i>, while a value of 1.0 means that your method has determined there is </i>absolutely for sure<i> a scanno present in that position.</i>&#8221;</p>
<p>When &#8220;arid&#8221; occurs for &#8220;and&#8221; in your stream, your predictor should only produce values of 1.000, which is perhaps not very useful.</p>
<p>A handier solution might be to predict the transformation that needs to be made at a certain position to correct the input text. The predictor should then skip to the next character that is not part of that transformation. (Although even that would be problematic if you could predict more than one transformation for a given location.)</p>
<p>A transformation could for instance be a substitution, a deletion or an insertion.</p>
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