1. A computer-implemented method for identifying similar documents, comprising: (a) receiving document text for a current document that includes at least two words; (b) calculating: a prominence score for each word, wherein the prominence score for each word is based on a term weight and a non-compound likelihood for each word, a prominence score for each pair of consecutive words, wherein the prominence score for each pair of consecutive words is based on a term weight and a compound probability for each pair of consecutive words, a descriptiveness score for each word wherein the descriptiveness score for each word is based on a corpus, and a descriptiveness score for each pair of consecutive words, wherein the descriptiveness score for each pair of consecutive words is based on the corpus; (c) calculating a comparison metric for the current document, wherein the comparison metric is based on the combination of each prominence score and each descriptiveness score; (d) finding, using a query processor, at least one potential document, wherein document text for each potential document includes at least one word from the current document; and (e) analyzing each found potential document to identify at least one similar document as a function of a comparison metric for the respective potential document and the comparison metric for the current document.