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I am having trouble figuring out the formula for Brunet's index which can be found in this paper http://csbapp.uncw.edu/data/mscsis/annalspaper.aspx?v=6&i=1&p=11.

I tried to apply it to interviews with ~1000 words, however, the values generated seems to be very extreme around e-100. Is this statistic not valid for large text?

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  • What is the meaning of N and V? Are you sure that this is really the correct definition (go back to the original publication, don't rely on the paper in the link)? I tried a google book search, but some relevant pages were hidden, therefore only comments, no answer. – jk - Reinstate Monica Mar 11 '18 at 9:14
  • My appologies, N in this case is the number of word token within the text and V is the word type. – kkawabat Mar 11 '18 at 18:42
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I found out that the formula was actually BI = N^V^(-.165) which returned more reasonable values.

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  • Please accept your own answer so this no longer comes up as unanswered. Thanks. – tripleee Apr 12 '18 at 5:14

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