We estimate the n-gram entropies of natural language texts in word-length representation and nd that these are sensitive to text language and genre. We attribute this sensitivity to changes in the probability distribution of the lengths of single words and emphasize the crucial role of the uniformity of probabilities of having words with length between ve and ten. Furthermore, comparison with the entropies of shued data reveals the impact of word length correlations on the estimated n-gram entropies.
['Maria Kalimeri', 'Vassilios Constantoudis', 'Constantinos Papadimitriou', 'Konstantinos Karamanos', 'F. K. Diakonos', 'Harris Papageorgiou']
Entropy analysis of word-length series of natural language texts: Effects of text language and genre