Spotting Words in Medieval Manuscripts.
This article discusses the technology of handwritten text recognition (HTR) as a tool for the analysis of historical handwritten documents. We give a broad overview of this field of research, but the focus is on the use of a method called ‘word spotting’ for finding words directly and automatically...
| Publicado en: | Studia Neophilologica Vol. 86; pp. 171 - 187 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Jun2014 Supplement
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=95976787&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 95976787 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00393274 9DT jtl: Studia Neophilologica issn: 00393274 maglogo: N pubinfo: dt: Jun2014 Supplement vid: 86 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 95976787 10.1080/00393274.2013.871975 ppf: 171 ppct: 16 formats: tig: atl: Spotting Words in Medieval Manuscripts. aug: au: Wahlberg, Fredrik Dahllöf, Mats Mårtensson, Lasse Brun, Anders su: Nonbook materials Medieval manuscripts Archival materials Imaging systems Books sug: subj: Nonbook materials Medieval manuscripts Archival materials Imaging systems Books ab: This article discusses the technology of handwritten text recognition (HTR) as a tool for the analysis of historical handwritten documents. We give a broad overview of this field of research, but the focus is on the use of a method called ‘word spotting’ for finding words directly and automatically in scanned images of manuscript pages. We illustrate and evaluate this method by applying it to a medieval manuscript. Word spotting uses digital image analysis to represent stretches of writing as sequences of numerical features. These are intended to capture the linguistically significant aspects of the visual shape of the writing. Two potential words can then be compared mathematically and their degree of similarity assigned a value. Our version of this method gives a false positive rate of about 30%, when the true positive rate is close to 100%, for an application where we search for very frequent short words in a 16th-Century Old Swedish cursiva recentior manuscript. Word spotting would be of use e.g. to researchers who want to explore the content of manuscripts when editions or other transcriptions are unavailable. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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