Abstract: Malapropism is a semantic error that is hardly detectable because it usually retains syntactical links between words in the sentence but replaces one content word by a similar word with quite different meaning. A method of automatic detection of malapropisms is described, based on Web statistics and a specially defined Semantic Compatibility Index (SCI). For correction of the detected errors, special dictionaries and heuristic rules are proposed, which retains only a few highly SCI-ranked correction candidates for the user’s selection. Experiments on Web-assisted detection and correction of Russian malapropisms are reported, demonstrating efficacy of the described method.

Keywords: semantic error, malapropism, error correction, Web-assisted error detection, paronymy dictionaries, correction candidates, Semantic Compatibility Index.

ACM Classification Keywords: I.2.7 Artificial Intelligence: Natural language processing – Text analysis

Link:

EXPERIMENTS IN DETECTION AND CORRECTION OF RUSSIAN MALAPROPISMS BY MEANS OF THE WEB

Elena Bolshakova, Igor Bolshakov, Alexey Kotlyarov

http://www.foibg.com/ijita/vol12/ijita12-2-p06.pdf