Concordance

Query C94-1030 17 (792.6 per million)

tech,1-1-C94-1030,bq	<term> language families </term> . In <term>	optical character recognition	</term> and <term> continuous speech recognition	#20614 Inoptical character recognition and continuous speech recognition of a natural language, it has been difficult to detect error characters which are wrongly deleted and inserted.
tech,5-1-C94-1030,bq	optical character recognition </term> and <term>	continuous speech recognition	</term> of a <term> natural language </term>	#20618 In optical character recognition andcontinuous speech recognition of a natural language, it has been difficult to detect error characters which are wrongly deleted and inserted.
other,10-1-C94-1030,bq	continuous speech recognition </term> of a <term>	natural language	</term> , it has been difficult to detect	#20623 In optical character recognition and continuous speech recognition of anatural language, it has been difficult to detect error characters which are wrongly deleted and inserted.
other,19-1-C94-1030,bq	</term> , it has been difficult to detect <term>	error characters	</term> which are wrongly deleted and inserted	#20632 In optical character recognition and continuous speech recognition of a natural language, it has been difficult to detecterror characters which are wrongly deleted and inserted.
other,8-2-C94-1030,bq	order to judge three types of the <term>	errors	</term> , which are characters wrongly substituted	#20649 In order to judge three types of theerrors, 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,21-2-C94-1030,bq	substituted , deleted or inserted in a <term>	Japanese bunsetsu	</term> and an <term> English word </term> ,	#20662 In order to judge three types of the errors, which are characters wrongly substituted, deleted or inserted in aJapanese 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,bq	<term> Japanese bunsetsu </term> and an <term>	English word	</term> , and to correct these <term> errors	#20666 In order to judge three types of the errors, which are characters wrongly substituted, deleted or inserted in a Japanese bunsetsu and anEnglish 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,32-2-C94-1030,bq	word </term> , and to correct these <term>	errors	</term> , this paper proposes new methods	#20673 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 theseerrors, 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,40-2-C94-1030,bq	this paper proposes new methods using <term>	m-th order Markov chain model	</term> for <term> Japanese kanji-kana characters	#20681 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 usingm-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,46-2-C94-1030,bq	order Markov chain model </term> for <term>	Japanese kanji-kana characters	</term> and <term> English alphabets </term>	#20687 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 forJapanese 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,50-2-C94-1030,bq	Japanese kanji-kana characters </term> and <term>	English alphabets	</term> , assuming that <term> Markov probability	#20691 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 andEnglish alphabets, assuming that Markov probability of a correct chain of syllables or kanji-kana characters is greater than that of erroneous chains.
other,55-2-C94-1030,bq	English alphabets </term> , assuming that <term>	Markov probability	</term> of a correct chain of <term> syllables	#20696 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 thatMarkov probability of a correct chain of syllables or kanji-kana characters is greater than that of erroneous chains.
other,62-2-C94-1030,bq	probability </term> of a correct chain of <term>	syllables	</term> or <term> kanji-kana characters </term>	#20703 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 ofsyllables or kanji-kana characters is greater than that of erroneous chains.
other,64-2-C94-1030,bq	correct chain of <term> syllables </term> or <term>	kanji-kana characters	</term> is greater than that of <term> erroneous	#20705 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 orkanji-kana characters is greater than that of erroneous chains.
other,71-2-C94-1030,bq	characters </term> is greater than that of <term>	erroneous chains	</term> . From the results of the experiments	#20712 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 oferroneous chains.
other,24-3-C94-1030,bq	well as correcting these errors in <term>	Japanese bunsetsu	</term> and <term> English words </term> . This	#20739 From the results of the experiments, it is concluded that the methods is useful for detecting as well as correcting these errors inJapanese bunsetsu and English words.
other,27-3-C94-1030,bq	in <term> Japanese bunsetsu </term> and <term>	English words	</term> . This paper describes the enhancements	#20742 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 andEnglish words.


	in Help