1. A method of constructing a natural language model for accessing a content management system, the method comprising: a) using a processor, constructing a first natural language model within a Natural Language Processing (NLP) application; b) receiving a first natural language input from a first user comprising a text in the first natural language into the NLP application; c) encapsulating linguistic characteristics within the first natural language model based upon the first natural language input, the linguistic characteristics comprising: i) a set of multiple primitives of the first Natural Language, said multiple primitives comprising tokens that form the basis for expressing information using the first Natural Language; and ii) semantic characteristics of the first Natural Language; and iii) syntactic characteristics of the first natural language; and iv) a probability of occurrence of two of said multiple primitives within a spatiotemporal proximity; d) generating a derivative of the first natural language input, said derivative of the first natural language input based upon the first natural language model and the linguistic characteristics; e) communicating with a search engine application program interface; f) retrieving documents relevant to the first natural language input by executing a search via the search engine with a topic specific query based upon the derivative and the linguistic characteristics; g) presenting the documents relevant to the first natural language input and identified via the search engine to the first user; h) receiving a second natural language input from a second user comprising a text in the second natural language different from the first natural language and inputting the second natural language input into a second natural language model in the NLP application, wherein the second natural language model is based upon the linguistic characteristics encapsulated within the first natural language model; i) generating, using the processor, at least one output based on processing of the second natural language input by the second natural language model in the NLP application, wherein the output comprises a text in the second natural language; j) presenting the output based on processing the second natural language model to the second user; and k) storing at least a portion of the first natural language model and a portion of the second language model in a memory communicatively coupled to the processor.