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We estimate the $n$-gram entropies of natural language texts in word-lengthrepresentation and find that these are sensitive to text language and genre. Weattribute this sensitivity to changes in the probability distribution of thelengths of single words and emphasize the crucial role of the uniformity ofprobabilities of having words with length between five and ten. Furthermore,comparison with the entropies of shuffled data reveals the impact of wordlength correlations on the estimated $n$-gram entropies.

Entropy analysis of word-length series of natural language texts: Effects of text language and genre