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We learn to recognize the spoken language without knowledge of linguistics, and voice-recognition software uses a theory-less learning algorithm called a “hidden Markov chain” on a set of audios and their texts, rather than by using linguistics, as Ray Kurzweil tells us in his book How to Create a Mind.

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Here are two texts that contain some symbols on them.

The answer is: if you look at the left-hand side of the two texts, you'll notice that there's a cramping of signs, and it seems like 4,000 years ago, when the scribe was writing from right to left, they ran out of space.

And furthermore, there's some signs that really prefer the end of texts, such as this jar-shaped sign, and this sign, in fact, happens to be the most frequently occurring sign in the script.

The idea was to use a computer to learn these patterns, and so we gave the computer the existing texts.

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