1. A method for domain specific normalization of a corpus of text, the method comprising: loading a corpus of text in memory of a computer; determining by a processor of the computer 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; retrieving from the memory of the computer by the processor of the computer 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, text simplifying by the processor of the computer the corpus of text using the retrieved lexicon by replacing existing words in the corpus of text with the replacement words.
1. A method for domain specific normalization of a corpus of text, the method comprising: loading a corpus of text in memory of a computer; determining by a processor of the computer 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; retrieving from the memory of the computer by the processor of the computer 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, text simplifying by the processor of the computer the corpus of text using the retrieved lexicon by replacing existing words in the corpus of text with the replacement words. 2. The method of claim 1 , wherein the domain is an industrial domain.