9. 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; 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 representative of a communication sub-portion of the translation-candidate communication is algorithmically one of extracted and rejected for translation depending on whether the selected communication sub-portion exceeds a first relevancy threshold indicative of the relatedness of the communication sub-portion to the at least one predetermined topic, wherein the first-language prioritizer renders a selection output indicative of whether the first-language prioritizer has one of selected and rejected for translation the first-data-set sub-portion; wherein as to a communication sub-portion selected for translation, the method further comprises causing that sub-portion of the machine-readable first data set representative of the relevant 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 the relevant communication sub-portion in the second human language; providing at least two second-language extractors, each second-language extractor having its own second-language prioritization protocol and associated set of second-language extraction rules according to which at least a portion of the translated-data-set sub-portion is preliminarily selected for one of conversion and non-conversion 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 based on consultation with the second-language prioritization protocol associated with that second-language extractor; providing an automated extraction arbitrator that, relative to the translated-data-set sub-portion, algorithmically analyzes the plural preliminary selections of the at least two second-language extractors and renders a final determination as to whether the translated-data-set sub-portion is finally selected for conversion; and as to translated-data-set sub-portion finally selected for conversion, converting at least a portion of the 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.
9. 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; 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 representative of a communication sub-portion of the translation-candidate communication is algorithmically one of extracted and rejected for translation depending on whether the selected communication sub-portion exceeds a first relevancy threshold indicative of the relatedness of the communication sub-portion to the at least one predetermined topic, wherein the first-language prioritizer renders a selection output indicative of whether the first-language prioritizer has one of selected and rejected for translation the first-data-set sub-portion; wherein as to a communication sub-portion selected for translation, the method further comprises causing that sub-portion of the machine-readable first data set representative of the relevant 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 the relevant communication sub-portion in the second human language; providing at least two second-language extractors, each second-language extractor having its own second-language prioritization protocol and associated set of second-language extraction rules according to which at least a portion of the translated-data-set sub-portion is preliminarily selected for one of conversion and non-conversion 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 based on consultation with the second-language prioritization protocol associated with that second-language extractor; providing an automated extraction arbitrator that, relative to the translated-data-set sub-portion, algorithmically analyzes the plural preliminary selections of the at least two second-language extractors and renders a final determination as to whether the translated-data-set sub-portion is finally selected for conversion; and as to translated-data-set sub-portion finally selected for conversion, converting at least a portion of the 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. 12. The method of claim 9 wherein, as to a communication sub-portion rejected for translation, the method further comprises one of deleting from and archiving in computer memory the first-data-set sub-portion representative of that communication sub-portion.