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    <p>Well, turned out the algorithm has to be complex and long since the brain is actually complex and deep. I have made advances with my code but it's nothing easy. My approach was to use an information database which is analyzed by inspecting every words in each sentence and their meanings + associations but no matter how hard I try, I figured out understanding can only be simulated. For instance:</p> <h2>My pocket is full of bugs.</h2> <p><em>Will be understood as:</em></p> <blockquote> <p>Animal Bugs are in your pocket.</p> </blockquote> <p><strong>Implications:</strong></p> <ul> <li>You are in trouble</li> <li>You are a bug collector</li> <li>You want to use bugs for something</li> </ul> <blockquote> <p>Electronic Bugs are in your pocket</p> </blockquote> <p><strong>Implications</strong></p> <ul> <li>Bugs are planted in your pocket</li> <li>You have some electronic bugs</li> </ul> <p>The word database for bug (<em>NOUN</em>) being:</p> <p><em>Bug (Animal)</em></p> <ul> <li>Definition: Insect.</li> <li>Properties: Width: 15mm; Height: 25mm; Color: Black, Red, Orange; Importance: Relative - Biology; Danger: 2; Desirability: 0;</li> <li>Function: Base</li> </ul> <p><em>Bug (Device)</em></p> <ul> <li>Definition: Electronic device.</li> <li>Properties: Width: 45mm; Height: 45mm; Color: Any; Importance: Relative - Security; Danger: 2; Desirability: 1</li> <li>Function: Sound Recording</li> </ul> <p>The two simulated meanings at least can be deduced from the above and the algorithm makes an intelligent guess to begin a series of questions in order to find out exactly what is meant.</p>
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    1. POProcessing and understanding sentences
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    1. POProcessing and understanding sentences
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    1. COThe best example of how hard English is that I know of is the following sentence: "Time flies like an arrow; fruit flies like a banana". Notice how the *grammatical categories* of the words "flies" and "like" change depending on the meanings of words around it. IOW it's not always possible to infer the grammar of a sentence without already "knowing what it means".
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    2. COHa ha, English is indeed complex and a great problem to artificial intelligence. There is even [ROILA](http://www.roila.org) - a language specifically made for robots. My resolve is that as far as idioms are concerned, the explanations are relative and should be recorded by the understanding processor based on different people.
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