Linguistic Error Correction Of Japanese Sentences
نویسندگان
چکیده
This paper describes a newly developed linguistic error correction system, which can correct errors and rejections of Japanese sentences by using linguistic knowledge. Conventional optical character readers (OCR) need human assistance to correct their recognition errors and rejections. An operator must teach the OCR correct answers whenever an illegible character pattern occurs. If this error correction operation is mechanized, the throughput of the OCR will increase. This linguistic error correction system offers means of automated error correction by analysing sentences of the OCR outputs linguistically. This system grammatically selects legal letters from the candidates which can not be decided uniquely by pattern recognition only, and recommends grammatically and semantically meaningful letters for the illegible letter.
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