Abstract: A methodology and processing model utilize a unique set of data structures and processing algorithms, which are capable of being leveraged on a Massively Parallel Relational Database Management System (RDBMS) to provide fast, accurate, and scalable access to text data that is stored in these data structures. The methodology relies on a positional co-occurrence-based Statistical Natural Language Processing (SNLP) algorithm, a set of data structures that define the data to be searched and contain the co-occurrence patterns that are created by the SNLP algorithm, a real-time relevancy formula and weighting structure that returns the most relevant documents to the user.