8. A natural language data processing system configured for domain specific normalization of a corpus of text, the system comprising: a host computing system comprising at least one computer with memory and at least one processor; a natural language processor providing logic configured for text simplification executing in the memory of the computer; and, a domain specific normalization module of the natural language processor comprising program code executing in the host computing system enabled to load a corpus of text, to determine a domain for the corpus of text by recognizing a presence of words or phrases in the loaded corpus of text that had been previously correlated to the domain, to retrieve a lexicon of replacement words for the determined domain, the lexicon comprising a set of source terms, at least one of the source terms being mapped to one of multiple different replacement terms having a complexity value aligned with an average complexity value for the multiple different replacement terms, and to direct the natural language processor to text simplify the corpus of text using the retrieved lexicon by replacing existing words in the corpus of text with the replacement words.
8. A natural language data processing system configured for domain specific normalization of a corpus of text, the system comprising: a host computing system comprising at least one computer with memory and at least one processor; a natural language processor providing logic configured for text simplification executing in the memory of the computer; and, a domain specific normalization module of the natural language processor comprising program code executing in the host computing system enabled to load a corpus of text, to determine a domain for the corpus of text by recognizing a presence of words or phrases in the loaded corpus of text that had been previously correlated to the domain, to retrieve a lexicon of replacement words for the determined domain, the lexicon comprising a set of source terms, at least one of the source terms being mapped to one of multiple different replacement terms having a complexity value aligned with an average complexity value for the multiple different replacement terms, and to direct the natural language processor to text simplify the corpus of text using the retrieved lexicon by replacing existing words in the corpus of text with the replacement words. 9. The system of claim 8 , wherein the domain is an industrial domain.