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For Computers, understanding natural language is sometimes hard ...

This paper by Chloe ́ Kiddon and Yuriy Brun at U of Washington describes a bayes classifier that can be used to find accidental double entendres or "potential innuendos" (called "That's what she said" or TWSS jokes) in sentences.  Here's the ruby script to run this classifier to identify so-called "low brow comedy" (their words, not mine) in natural, human language .
Hopefully, this foreshadows the great things we can expect from our computers' auto-complete functionality in the near future. This article from Wired on detecting humor with computer software is also relevant. Andrew Gelman, a bayesian scholar and co-author of the great zombie survey paper^, links to this article in his blog after I recently mentioned it to him.


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^ This paper contains a Technical Note, describing the authors' rationale for using LaTeX, that is one of my all-time favorite quotes: 
"We originally wrote this article in Word, but then we converted it to Latex to make it look more like science."

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