12. The method of claim 7 further comprising: converting at least a portion of each translated-data-set sub-portion into a converted-data-set sub-portion representative of at least a portion of the translated-data-set sub-portion in a human-intelligible format; and outputting through a machine-to-human interface the converted-data-set sub-portion.
7. A method of prioritizing for automated translation from a first human language to a second human language communications relating to at least one predetermined topic, the method comprising: capturing and inputting into a data processing system a translation-candidate communication rendered in the first human language and storing in computer memory associated with the data processing system, in a predetermined machine-readable format, a first data set representative of the contents of the translation-candidate communication in the first human language; parsing the first data set into first-data-set sub-portions correspondingly representative of communication sub-portions of the translation-candidate communication; maintaining in computer memory a set of relevancy thresholds including at least first and second relevancy thresholds indicative of the relatedness of a communication sub-portion to the at least one predetermined topic, wherein the first relevancy threshold indicates a greater degree of relatedness to the at least one predetermined topic than does the second relevancy threshold; maintaining in computer memory a first-language prioritization protocol including data indicative of first-language extraction rules according to which a selected first-data-set sub-portion is algorithmically one of (i) extracted and prioritized for translation; (ii) extracted and de-prioritized for translation and (iii) rejected for translation depending on whether the selected communication sub-portion, respectively, (a) exceeds the first relevancy threshold, (b) exceeds the second relevancy threshold, but not the first relevancy threshold, and (c) exceeds neither of the first and second relevancy thresholds; consulting the first-language prioritization protocol and algorithmically analyzing, in accordance with the first-language extraction rules, the first data set in order to determine whether at least one communication sub-portion of the translation-candidate communication associated with the first data set exceeds either of the first and second relevancy thresholds; selecting for translation to the second human language each communication sub-portion algorithmically determined to exceed either of the first and second relevancy thresholds; and rejecting for translation to the second human language each communication sub-portion algorithmically determined not to exceed either of the first and second relevancy thresholds; wherein as to each communication sub-portion determined to exceed at least one of the first and second relevancy thresholds, the method further comprises causing the first-data-set sub-portion representative of that communication sub-portion in the first human language to be translated to a translated-data-set sub-portion representative, in a machine-readable format, of that communication sub-portion in the second human language; a first-data-set sub-portion representative of a communication sub-portion determined to exceed the first relevancy threshold is translated to a translated-data-set sub-portion prior to a first-data-set sub-portion representative of a communication sub-portion determined to exceed the second relevancy threshold and not the first relevancy threshold; and as to a communication sub-portion rejected for translation, the method further comprises one of deleting and archiving in computer memory the first-data-set sub-portion representative of that communication sub-portion.