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Peer reviewedSwensson, Paul – Journalism Educator, 1976
Indicates that electronic equipment can produce a high quality newspaper at lower costs, according to an informal survey. (RB)
Descriptors: Automation, Character Recognition, Editing, Journalism
Peer reviewedSun, Wei; And Others – Journal of the American Society for Information Science, 1992
Identifies types and distributions of errors in text produced by optical character recognition (OCR) and proposes a process using machine learning techniques to recognize and correct errors in OCR texts. Results of experiments indicating that this strategy can reduce human interaction required for error correction are reported. (25 references)…
Descriptors: Artificial Intelligence, Automation, Character Recognition, Error Correction
Desautels, John E.; And Others – 1973
A study was conducted to determine the feasibility of developing an automatic Chinese/Japanese input device for a machine translation complex. A specific scanning technique to digitize Chinese/Japanese ideographs is recommended as a result of the study. Results of the study include specification of the resolution necessary to successfully digitize…
Descriptors: Automation, Character Recognition, Chinese, Data Processing
