Perhaps more capable of being a simple stream editor, so then can specialize filters to run against the resulting histogram in the time domain?
This way, even the stop list just becomes another kind of high-frequency pass filter, along with foreign or buzzword filters
$threshold=100; # max-cutoff
while(<>) {
chomp;
s/[^A-z\s]//g;
s/\s+/ /g;
$says=$_;
@words=split(/ /,$says);
foreach(@words) {
if($seen{$_} !=1) { $seen{$_} =1;}
else {$count{$_}=$count{$_}+1;}
}
}
while (($unique,$cases)=each(%seen)) {
if($count{$unique} > $threshold){
print " $count{$unique} : $unique \n";
}
}
While the time domain is statistically challenging, the text parsing seems so ripe in perl.
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