An evaluation to detect and correct erroneous characters wrongly substituted, deleted and inserted in Japanese and English sentences using Markov models
Tetsuo Araki, Satorn Ikehara, Nobuyuki Tsukahara, Yasunori Komatsu · 1994
In optical character recognition and coni.inuousspeech recognition of a natural language, it has been diflicult to detect error characters which are wrongly deleted and inserted.]n <>rder to judge three types of the errors, which are characters wrongly substituted, deleted or inserted in a Japanese "bunsetsu" and an l';nglish word, and to correct these errors, this paper proposes new methods using rn-th order Markov chain model for Japanese "l~anjikana" characters and Fmglish alphabets, assuming 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 detecting as well as correcting these errors in Japanese "bunsetsu" and English words.