The development of Language Engineering (LE) and Information Retrieval (IR) applications requires availability of sizeable, reliable and representative corpora. This paper describes how we have constructed a well-structured 345 MB tagged corpus of news, and presents some beneficial statistics of this corpus based upon the characteristics of Farsi language. It also goes into particular detail on the fitness of the frequency and rank of Farsi words with Zipf-Mandelbrot’s law. We will then present our measurement of Entropy of Farsi for this corpus.