The use of OCR software to convert printed characters to digital text is a fundamental tool within diachronic approaches to Corpus-assisted discourse Studies. However, OCR software is not totally accurate, and the resulting error rate may compromise the qualitative analysis of the studies. This paper proposes a mixed qualitative-quantitative approach to OCR error detection and correction in order to develop a methodology for compiling historical corpora. We present a case study on newspapers of the beginning of the 20th century for the linguistic analysis of the metaphors representing immigrants.
OCR Correction for Corpus-assisted Discourse Studies: a Case Study of Old Newspapers
Dario Del Fante
Primo
;
2021
Abstract
The use of OCR software to convert printed characters to digital text is a fundamental tool within diachronic approaches to Corpus-assisted discourse Studies. However, OCR software is not totally accurate, and the resulting error rate may compromise the qualitative analysis of the studies. This paper proposes a mixed qualitative-quantitative approach to OCR error detection and correction in order to develop a methodology for compiling historical corpora. We present a case study on newspapers of the beginning of the 20th century for the linguistic analysis of the metaphors representing immigrants.File in questo prodotto:
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