Lockheed Martin Corporation

Lockhead Martin Corp.

Russell Elliot

Jeffrey Scott Poulin

Michael A Heaton

Linda H Rockwood

Audrey Ferry

Rosemary DeSantis Paradis

Robert Strebel

Keri C Ovando

A method of prioritizing the automated translation of communications 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 a 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. Translated-data-set sub-portions determined to contain information sufficiently related to the predetermined 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.

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

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.

Provided is a method of reducing postal revenue losses associated with the processing and delivery of international mail pieces. Algorithmically-resolved image data associated with a mail piece is compared to international-mail-services postage data and a determination is rendered, based on the comparison, as to whether any postage indicated as paid is sufficient to further process the mail piece in accordance with the level of delivery service requested. In various aspects, an attempt to algorithmically ascertain the identity of the sender is undertaken for purposes of automated charge assessment relative to a mail piece for which it is determined that insufficient postage has been tendered. In accordance with alternative aspects, if the sender identity cannot be ascertained, the mail piece is variously (i) rejected for manual handling or (ii) routed for automated sortation and delivery in accordance with a 'downgraded' delivery service level for which the amount paid is adequate.

System and method of identifying and sorting international mail pieces based on applied-postage adequacy in order to enhance postal service revenue protection

Portable transaction terminal includes a processor, an imager configured to produce a digital image of a payment card using a source of continuous light, the imager being operably linked to the processor, and an image recognition module that performs image recognition and that is configured to produce or extract data for a transaction, from the digital image of the payment card, using the processor. The portable transaction terminal is configured to enter the data for the transaction that is produced or extracted, and wherein the data for the transaction is communicated and processed.

Portable transaction terminal having an image recognition system

A method to reduce lost postal revenue by identifying and sorting a mail piece by determining whether algorithmically-resolved image data corresponding to the mail piece indicates that the mail piece is business reply mail. The method is facilitated in part by maintaining data related to each business reply customer account. The business reply customer data is consulted and compared to a predetermined set of criteria to ascertain if the possibly incomplete, incorrect, or ambiguous data discernable from the captured image of the mail piece is indicative of, at a minimum, that the mail piece is business reply for the purpose of sortation to an appropriate business reply collection point, and in addition, that a high-confidence match to a customer account can be obtained for the purpose of automated charge assessment. Machine-readable sortation signals are generated in accordance with the most refined level of sortation indicated by the consultation.

System and method of identifying and sorting response services mail pieces in accordance with plural levels of refinement in order to enhance postal service revenue protection

A portable transaction terminal has an imager and image recognition system. The image recognition system produces information from image data for transaction processing. An optional location system enables obtaining and recording data corresponding to the location of the terminal at the time a transaction is processed.

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Endicott, NY, United States of America

Russell Elliot