5. A machine process for identifying a human language used in a computer coded document from text in the document as defined in claim 2, further comprising the steps of generating a word frequency table (WFT) by reading a plurality of sampled documents known to be in a language of interest for which the WFT is to be generated, counting number of occurrances for each word read in the sampled documents by the generating step to establish a FO value associated with each word in the WFT, and retaining in the WFT language the words having associated FO values exceeding a threshold, and the WFTs each having approximately the same total value for all FOs in each WFT.
5. A machine process for identifying a human language used in a computer coded document from text in the document as defined in claim 2, further comprising the steps of generating a word frequency table (WFT) by reading a plurality of sampled documents known to be in a language of interest for which the WFT is to be generated, counting number of occurrances for each word read in the sampled documents by the generating step to establish a FO value associated with each word in the WFT, and retaining in the WFT language the words having associated FO values exceeding a threshold, and the WFTs each having approximately the same total value for all FOs in each WFT. 8. A machine process for identifying a human language used in a computer coded document from text in the document, as defined in claim 5, further comprising the steps of generating any WFT to represent a genre within a language instead of, or in addition to, representing the language by a WFT, and establishing the FO values associated with words in the WFT from word frequencies in a sampling of documents representing the genre.