Abstract: One or more computers is configured to run an end-to-end test including at least a plurality of independent tests of multiple stages of an asynchronous multi-stage data processing system. One of the set of independent tests is configured to send a request for test input data from a test data repository service for a particular stage. A converted version of the test input data is obtained. A comparison of the converted version to the output of the particular stage to verify operation of the particular stage is obtained. The output of the particular stage is transmitted to the test data repository service. One or more computers is configured to provide the test data repository service. The test data repository service is configured to store in the test data storage the output of the particular stage as test input data for a next stage of the asynchronous multi-stage data processing system.

Abstract: A computer-implemented method of generating a dynamic corpus includes generating web threads, based upon corresponding sets of words dequeued from a word queue, to obtain web thread resulting URLs. The web thread resulting URLs are enqueued in a URL queue. Multiple text extraction threads are generated, based upon documents downloaded using URLs dequeued from the URL queue, to obtain text files. New words are randomly obtained from the text files, and the randomly obtained words from the text files are enqueued in the word queue. This process is iteratively performed, resulting in a dynamic corpus.

Abstract: A processing device and method may provide natural language assistance for digital image indexing. Candidate keywords may be generated based on an entered keyword for a digital image file. The candidate keywords may be synonyms of the entered keyword, or otherwise related to the entered keyword. The candidate keywords may be ranked as possible keywords for the digital image file based on use of the candidate keywords as keywords of other digital image files. Similarity measures of the other digital image files may be determined based on aspects of the other digital image files compared with the corresponding aspects of the digital image file. Rankings of the candidate keywords may be adjusted based on the similarity measures of the other digital image files. At least some of the ranked candidate keywords may be presented.