Romanian printed language, statistical independence and the type II statistical error

The paper revisits the notion of statistical independence for printed Romanian with a focus for the case when the language is considered as a chain of words. The analysis is carried out on a literary corpus of approx. 6 million words. We aim to improve the perception of the concept of statistical independence for natural texts and to use this concept to evaluate the numerical properties of the printed language.One main objective is to correlate the statistical independence results with the type II statistical error and at the same time to expand and circle back on previous results of the authors. We investigated different scenarios in relation with different word clusters involved in the process of creating Artificial Words (corroborated with the statistical independence evaluation). The Artificial Words consist of groups of the low probability words (based on previous findings on the type II statistical error in word probability investigation) and the results support the d = 100 minimum statistical independence distance.