16. A client/server network for determining probable meanings of search query words, comprising: a client computer to enter at least one word on the network; a server to receive an input of the at least one word from the network; a processor to determine a probable meaning of the at least one word in accordance with a prior probability and a context frequency probability of probable meanings of the word, wherein the prior probability comprises a probability that the word refers to a predetermined meaning irregardless of the query context in which the word is used, which prior probability is derived from previous analysis of documents containing the word; wherein the processor: estimates an expected final probability for the at least one word given the prior probability of the at least one word; derives 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; uses 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 a memory coupled with the processor to store the prior probabilities and the context frequency probabilities of probable meanings of previously-inputted words; wherein the processor generates search results listings in accordance with the final probability of the probable meaning of the word for presentation to the client computer.
16. A client/server network for determining probable meanings of search query words, comprising: a client computer to enter at least one word on the network; a server to receive an input of the at least one word from the network; a processor to determine a probable meaning of the at least one word in accordance with a prior probability and a context frequency probability of probable meanings of the word, wherein the prior probability comprises a probability that the word refers to a predetermined meaning irregardless of the query context in which the word is used, which prior probability is derived from previous analysis of documents containing the word; wherein the processor: estimates an expected final probability for the at least one word given the prior probability of the at least one word; derives 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; uses 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 a memory coupled with the processor to store the prior probabilities and the context frequency probabilities of probable meanings of previously-inputted words; wherein the processor generates search results listings in accordance with the final probability of the probable meaning of the word for presentation to the client computer. 17. The client/server network of claim 16 , wherein the context frequency probability comprises the meaning of the word in a context of terms immediately preceding or immediately following the word.