The Boeing Company

David Donald Pokrajac

Theresa Nadine Ward

Abdullah Farid Adlouni

Ali Azad

The application is directed to the generation of training materials for optical character recognition. Generating the training materials for optical character recognition can include selecting a plurality of terms that include a string of characters. For each term, generating multiple digital term images that each includes the term with a different visual appearance. For generation of a training document, the method includes positioning the term images on a digital background and generating the digital training material.

Generation of training materials for optical character recognition

A method, apparatus, and computer system for grouping parts. Sets of unigrams are generated from text in part lists for parts in a family of parts using natural language processing, wherein a set of unigrams in the sets of unigrams represent components for a part in the parts. A document term matrix is created using the sets of unigrams. The document term matrix describes a presence of components in the parts. A number of unigrams from the document term matrix that has occurrences in the document term matrix that are greater than a common design threshold is removed. Removing the number of unigrams from the document term matrix forms a processed document term matrix. The common design threshold identifies a level of occurrence not useful in differentiating the parts from each other. The parts are clustered into groups using the processed document term matrix.

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Everett, WA, United States of America

David Donald Pokrajac