The use of context for correcting garbled English text
ACM '64 Proceedings of the 1964 19th ACM national conference
Contextual Word Recognition Using Binary Digrams
IEEE Transactions on Computers
A Contextual Postprocessing System for Error Correction Using Binary n-Grams
IEEE Transactions on Computers
Techniques for replacing characters that are garbled on input
AFIPS '66 (Spring) Proceedings of the April 26-28, 1966, Spring joint computer conference
Synchronization and substitution error-correcting codes for the Levenshtein metric
IEEE Transactions on Information Theory
Iterative Source/Channel-Decoding Using Reversible Variable Length Codes
DCC '00 Proceedings of the Conference on Data Compression
On Variable Length Codes for Iterative Source/Channel Decoding
DCC '01 Proceedings of the Data Compression Conference
The usability of passphrases for authentication: An empirical field study
International Journal of Human-Computer Studies
Recognition of Spoken Words and Phrases in Multitalker Environment Using Syntactic Methods
IEEE Transactions on Computers
Error-Correcting Parsers for Formal Languages
IEEE Transactions on Computers
Contextual Postprocessing System for Cooperation with a Multiple-Choice Character-Recognition System
IEEE Transactions on Computers
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Using strings for on-line handwriting shape matching: a new weighted edit distance
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Spelling correction using probabilistic methods
Pattern Recognition Letters
Some experiments in two-dimensional grammatical inference
Pattern Recognition Letters
Towards a more efficient and personalised advertisement content in on-line social networks
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Hi-index | 14.99 |
In this paper we propose a new method for correcting garbled words based on Levenshtein distance and weighted Levenshtein distance. We can correct not only substitution errors, but also insertion errors and deletion errors by this method. According to the results of simulation on nearly 1000 high occurrence English words, higher error correcting rates can be achieved by this method than any other method tried to date. Hardware realization of the method is possible, though it is rather complicated.