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Here I am building on this question, adding the possibility that a term has been inserted within the window of another term of the same type. Here, I have inserted an A as the third character, from the original example.

txt <- "A D A C E A D F E B A C E D"

producing a window size 2 (+/- 2 terms) context co-occurrence matrix:

        features
contexts A B C D E F
       A 2 1 3 3 4 1
       B 1 0 1 0 1 1
       C 3 1 0 2 2 0
       D 3 0 2 0 3 1
       E 4 1 2 3 0 1
       F 1 1 0 1 1 0

Question: Is this the correct way to compute the co-occurrence of A with itself? And should the first A be considered within the window of itself twice, once counting the second A (index position 3, counting from 1) in the context window of the first A (position 1), and once counting the first A in the context window of the second A?

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