Paper: An Evaluation To Detect And Correct Erroneous Characters Wrongly Substituted Deleted And Inserted In Japanese And English Sentences Using Markov Models

ACL ID C94-1030
Title An Evaluation To Detect And Correct Erroneous Characters Wrongly Substituted Deleted And Inserted In Japanese And English Sentences Using Markov Models
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

In optical character recognition and coni.in- uous speech recognition of a natural language, it has been diflicult to detect error characters which are wrongly deleted and inserted. ]n <>r- der to judge three types of the errors, which are characters wrongly substituted, deleted or inserted in a Japanese "bunsetsu" and an l';n- glish word, and to correct these errors, this paper proposes new methods using rn-th or- der Markov chain model for Japanese "l~anji- kana" characters and Fmglish alphabets, as- suming that Markov l)robability of a correct chain of syllables or "kanji-kana" characters is greater than that of erroneous chains. From the results of the experiments, it is concluded that the methods is usefld for de- tecting as well as correcting these errors in Japanese "bunsetsu" and E...