transposition errors

17 examples (0.04 sec)
  • This version was not without its problems, however, as it became known that key transposition errors could occur at high typing speeds.
  • Transposition errors are almost always human in origin.
  • This version used a more sophisticated checksum algorithm that could catch transposition errors.
  • Also, the checksum method used was relatively rudimentary, and did not catch transposition errors, nor did it take whitespace into account.
  • There were a number of faded/missing letters and some transposition errors in the edition this eBook was taken from. Cited from The Lion and The Mouse, by Charles Klein
  • Transcription and transposition errors are found everywhere, even in professional articles in newspapers or books whether fictional or factual.
  • Transposition errors are commonly mistaken for transcription errors, but they should not be confused.
  • For example, associative chaining predicts the tendencies of transposition errors, which occur most often with items in nearby positions.
  • Similar is another abstract algebra-based method, the Damm algorithm, that too detects all single-digit errors and all adjacent transposition errors.
  • Furthermore, many transposition errors were overlooked by the original MLX's unsophisticated checksum algorithm.
  • This would catch any single-digit error, as such an error would always change the sum, but does not catch any transposition errors (switching two digits) as re-ordering does not change the sum.
  • It was the first decimal check digit algorithm which detects all single-digit errors, and all transposition errors involving two adjacent digits, which was at the time thought impossible with such a code.
  • Common desktop publishing and word processing applications use spell checkers and grammar checkers which may pick up on some transcription/transposition errors - not all errors may be picked up however, as some errors may form new words which fit grammatically.
  • In error detection, the Damm algorithm is a check digit algorithm that detects all single-digit errors and all adjacent transposition errors.
  • Transcription and transposition errors may also occur in syntax when Computer programming or programming, within variable declaration or within coding parameters - this should be checked by proof reading, however syntax errors may be picked up by the program the author is using.
  • The strengths of the algorithm are that it detects all transliteration and transposition errors, and additionally most twin, twin jump, jump transposition and phonetic errors.
  • These do not catch transpositions of two digits that differ by 5 (0 and 5, 1 and 6, 2 and 7, 3 and 8, 4 and 9), but captures other transposition errors.