System and method of prioritizing automated translation of communications from a first human language to a second human language

Abstract

A method of prioritizing the automated translation of communications relating to a predetermined topic includes capturing and inputting into a data processing system a translation-candidate communication rendered in a first human language. A first data set representative of the translation-candidate communication is stored in computer memory and parsed into communication sub-portions. Communication sub-portions are algorithmically selected for translation depending on their relatedness to the predetermined topic as determined by first-language extraction rules. Each selected communication sub-portion is translated to a translated-data-set sub-portion representative of that selected communication sub-portion in the second human language. Translated-data-set sub-portions are subjected to a secondary filtration process in accordance with which their relatedness to the predetermined topic is determined by second-language extraction rules. Those translated-data-set sub-portions determined to contain information sufficiently related to the predetermined topic, or a related sub-topic, are converted to converted-data-set sub-portions representative of the translated-data-set sub-portions in a human-intelligible format and outputted through a machine-to-human interface.