MEASURING THE CORRECTNESS OF DOUBLE-KEYING: ERROR CLASSIFICATION AND QUALITY CONTROL IN A LARGE CORPUS OF TEI-ANNOTATED HISTORICAL TEXT

Measuring the Correctness of Double-Keying: Error Classification and Quality Control in a Large Corpus of TEI-Annotated Historical Text

Among mass digitization methods, double-keying is considered to be the one with the lowest error rate.This method requires two independent transcriptions of a text by two different operators.It is particularly well suited to historical texts, which often exhibit deficiencies like poor master copies or other difficulties such as spelling variation o

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Perceived trustworthiness of artificial intelligence implementation in Indonesia public sector services: Gen Z and Millennial perspectives

Technological developments have an enormous impact on social and economic life, including the potential adoption of artificial intelligence in the public sector.This research focuses on perceived trustworthiness regarding the potential use of artificial intelligence in the public sector through the perceptions of the Millennial generation and Gener

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