| other,10-1-C94-1030,ak | continuous speech recognition </term> of a <term> | natural language | </term> , it has been difficult to detect | #26508 In optical character recognition and continuous speech recognition of a natural language , it has been difficult to detect error characters which are wrongly deleted and inserted. | |
| other,21-2-C94-1030,ak | substituted , deleted or inserted in a <term> | Japanese bunsetsu | </term> and an <term> English word </term> , | #26547 In order to judge three types of the errors, which are characters wrongly substituted, deleted or inserted in a Japanese bunsetsu and an English word, and to correct these errors, this paper proposes new methods using m-th order Markov chain model for Japanese kanji-kana characters and English alphabets, assuming that Markov probability of a correct chain of syllables or kanji-kana characters is greater than that of erroneous chains. | |
| other,25-2-C94-1030,ak | <term> Japanese bunsetsu </term> and an <term> | English word | </term> , and to correct these <term> errors | #26551 In order to judge three types of the errors, which are characters wrongly substituted, deleted or inserted in a Japanese bunsetsu and an English word , and to correct these errors, this paper proposes new methods using m-th order Markov chain model for Japanese kanji-kana characters and English alphabets, assuming that Markov probability of a correct chain of syllables or kanji-kana characters is greater than that of erroneous chains. | |
| other,24-3-C94-1030,ak | well as correcting these errors in <term> | Japanese bunsetsu | </term> and <term> English words </term> . This | #26624 From the results of the experiments, it is concluded that the methods is useful for detecting as well as correcting these errors in Japanese bunsetsu and English words. |
