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Volumn 46, Issue 5, 2013, Pages 1346-1357

Unsupervised profiling of OCRed historical documents

Author keywords

Error detection and error correction; OCR postprocessing; Processing of historical documents; Statistical learning

Indexed keywords

EVALUATION RESULTS; GLOBAL INFORMATIONS; HISTORICAL DOCUMENTS; LANGUAGE VARIATION; OCR ENGINES; RECOGNITION ERROR; REFINED MODEL; STATISTICAL LEARNING; STRONG CORRELATION; TWO-CHANNEL; TYPICAL PATTERNS; VARIATION PATTERN; WORD FREQUENCIES;

EID: 84872490626     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.10.002     Document Type: Article
Times cited : (28)

References (27)
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    • Limits on the application of frequency-based language models to ocr
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    • Smith, R.1
  • 12
    • 79960351984 scopus 로고    scopus 로고
    • Efficiently generating correction suggestions for garbled tokens of historical language
    • U. Reffle Efficiently generating correction suggestions for garbled tokens of historical language Natural Language Engineering 17 2011 265 282
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    • 0015960104 scopus 로고
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    • Deriving symbol dependent edit weights for text correction - The use of error dictionaries
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  • 26
    • 84872493388 scopus 로고    scopus 로고
    • More than words Using token context to improve canonicalization of historical German
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    • Jurish, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.