(05-09-2025, 06:53 PM)quimqu wrote: You are not allowed to view links. Register or Login to view.(05-09-2025, 06:43 PM)nablator wrote: You are not allowed to view links. Register or Login to view.I don't understand, sorry.
Hi nablator,
To clarify, I did not calculate bigrams across words. My goal was to compute autocorrelation, but only within each line. That is, every line is treated independently, and the autocorrelation measures patterns of word lengths inside that line, never spanning to the next line.
This way, the result reflects line-level structure, not cross-line sequences. But always with entire words, not n-grams
Hi quimqu,
I think we mean the same but use different words.

By bigram I mean word bigram, not character bigram. The autocorrelation (positive or negative) is a property of a word bigram. So I am counting how many of these bigrams (sequences of two words on the same line, no word bigram across lines) are positively autocorrelated = p and how many are negatively correlated = n. The result is (p-n)/(p+n) = 0.169

