1. A computer-implemented method for determining probable meanings of inputted search query terms, the method comprising: receiving an input of at least one search query word by a networked server; determining a probable meaning of the at least one word by a processor of the networked server in accordance with a prior probability and a context frequency probability of probable meanings of the word, wherein the context frequency probability consists of the meaning of the word in a context of a plurality of terms immediately preceding or immediately following the word, wherein the prior probability comprises a probability that the word refers to a predetermined meaning irregardless of a query context in which the word is used, which prior probability is derived from previous analysis of documents containing the word, wherein determining the probable meaning comprises: estimating an expected final probability for the at least one word given the prior probability of the at least one word; deriving an inverse combine function that uses the prior probability and the expected final probability to determine the context frequency probability of the at least one word; using a combine mathematical function to combine the prior probability and the context frequency probability to produce a final probability of the probable meaning of the at least one search query word; and using the final probability of the probable meaning of the at least one word by the networked server to influence search results returned in response to the inputted at least one word.