An Aided Adaptive Character Reader for Machine Translation of Languages
Expert InsightsPublished 1960
A description of an elementary procedure for the synthesis of a character-recognition device based on a learning experiment. Using information derived from a significant sample of the set of characters to be read and given identification of the samples by a human operator, a computer defines a set of "filters." These filters may then be used to transform unknown characters having similar type characteristics. During the recognition process a probability matrix for each character in the alphabet is used to compute a figure of merit for the hypothesis that an unknown character is the same as a known character. It is shown that this elementary model may aid in constructing a fast input device for a language translation machine if it was able to make use of frequency distribution characteristics of the dictionary. A possible implementation with a raw character reading rate up to 500 characters a second appears feasible.
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Document Details
- Copyright: RAND Corporation
- Availability: Web Only
- Year: 1960
- Pages: 47
- DOI: https://doi.org/10.7249/P1990
- Document Number: P-1990
Citation
RAND Style Manual
Baran, Paul and Gerald Estrin, An Aided Adaptive Character Reader for Machine Translation of Languages, RAND Corporation, P-1990, 1960. As of October 1, 2026: https://www.rand.org/pubs/papers/P1990.html
Chicago Manual of Style
Baran, Paul and Gerald Estrin, An Aided Adaptive Character Reader for Machine Translation of Languages. Santa Monica, CA: RAND Corporation, 1960. https://www.rand.org/pubs/papers/P1990.html.
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