ingly ▁unique ▁stories . ▁ ▁Another ▁way ▁of ▁generating ▁meaning less ▁text ▁is ▁mo j ib ake , ▁also ▁called ▁Buch stab ens al at ▁(" letter ▁sal ad ") ▁in ▁German , ▁in ▁which ▁an ▁ass ort ment ▁of ▁seem ingly ▁random ▁text ▁is ▁generated ▁through ▁character ▁encoding ▁in compat ibility ▁in ▁which ▁one ▁set ▁of ▁characters ▁are ▁replaced ▁by ▁another , ▁though ▁the ▁effect ▁is ▁more ▁effective ▁in ▁languages ▁where ▁each ▁character ▁represents ▁a ▁word , ▁such ▁as ▁Chinese . ▁ ▁More ▁serious ▁attempts ▁to ▁automatically ▁produce ▁n ons ense ▁stem ▁from ▁Claude ▁Sh annon ' s ▁sem inal ▁paper ▁A ▁Mathemat ical ▁Theory ▁of ▁Communic ation ▁from ▁ 1 9 4 8 ▁where ▁progress ively ▁more ▁convin cing ▁n ons ense ▁is ▁generated ▁first ▁by ▁choosing ▁letters ▁and ▁spaces ▁randomly , ▁then ▁according ▁to ▁the ▁frequency ▁with ▁which ▁each ▁character ▁appears ▁in ▁some ▁sample ▁of ▁text , ▁then ▁respect ing ▁the ▁lik elihood ▁that ▁the ▁chosen ▁letter ▁appears ▁after ▁the ▁preceding ▁one ▁or ▁two ▁in ▁the ▁sample ▁text , ▁and ▁then ▁applying ▁similar ▁techniques ▁to ▁whole ▁words . ▁Its ▁most ▁convin cing ▁n ons ense ▁is ▁generated ▁by ▁second - order ▁word ▁approximation , ▁in ▁which ▁words ▁are ▁chosen ▁by ▁a ▁random ▁function ▁weight ed ▁to ▁the ▁lik el iness ▁that ▁each ▁word ▁follows ▁the ▁preceding ▁one ▁in ▁normal ▁text : ▁The ▁Head ▁And ▁In ▁Front al ▁Att ack ▁On ▁An ▁English ▁W riter ▁That ▁The ▁Character ▁Of ▁This ▁Point ▁Is ▁Therefore ▁Another ▁Method ▁For ▁The ▁Let ters ▁That ▁The