The paper discusses the design of a new computational model based on corpora—the Structural Boundary Model (SBM), particularly for the purpose of NLP. The Structural Boundary Model is constructed on the basis of parsed corpora. It consists of two main bodies, namely structural boundary data and CFG rules. The grammar supports parsing in a unique way by assigning structural boundary labels retrieved from a parsed corpus as a training corpus for the parser. Parsing experiments have demonstrated that the Structural Boundary Model is an appropriate novel computational model for parsing.