1. A system for identifying objects referenced in a stream of text, the system comprising: an input pipeline configured to receive an incoming stream of text comprised of words; a text analysis module configured to consult a semantic network to automatically identify one or more word patterns in the incoming stream of text, such that each word in the incoming stream is searched once in the semantic network, to break the stream of text into individual words, to analyze each word in an order of occurrence of the word in the stream of text by comparing the individual words to identified words in the semantic network, and to, upon finding a match between an individual word in the stream of text and an identified word in the semantic network, compare the individual word and an adjacent word of the stream of text to a word pattern in the semantic network; and an object association module configured to reference a known object within the semantic network, the known object identified by a word pattern of the semantic network.
2. The system of claim 1 , wherein the semantic network is configured to be loaded substantially entirely into a common RAM memory space of a processor, and wherein the text analysis module is configured to consult the semantic network within the RAM memory.