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Conventional and associative memory-based spelling checkers
Vladimir S Cherkassky
, Nikolaos Vassilas
, Gregory L. Brodt
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
Scopus citations
Overview
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Keyphrases
Data Retrieval
100%
Memory-based
100%
Associative Memory
100%
Spelling Checker
100%
Neural Approach
66%
Scale Problem
33%
Fault-tolerant
33%
Large Database
33%
Low Computational Complexity
33%
Algorithmic Approach
33%
Viable Solutions
33%
Error Correction
33%
Noise Error
33%
Neural Model
33%
Correction Rate
33%
Saturation Constraint
33%
Neural Memory
33%
Spelling Check
33%
Algorithmic Research
33%
Computer Science
Data Retrieval
100%
Information Retrieval
100%
Associative Memory
100%
Fault Tolerant
33%
Computational Cost
33%
Error Correction
33%
Neuroscience
Associative Memory
100%
Engineering
Associative Memory
100%