Recent approaches to statistical parsing include those that estimate an approximation of a stochastic, lexicalized grammar directly from a treebank and others that rebuild trees with a number of tree-constructing operators, which are applied in order according to a stochastic model when parsing a sentence. In this paper we take an entirely different approach to statistical parsing, as we propose a method for parsing using a Hidden Markov Model. We describe the stochastic model and the tree construction procedure, and we report results on the Wall Street Journal Corpus.