LERA—an interactive platform for synoptical representations of multiple text witnesses.
In the humanities, text comparison is essential for scholarly editing the traditions of a text with its different witnesses under study. For the computer-aided creation of a critical apparatus, there have been established approaches and tools for many years. However, they mainly focus on subsentence...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 1; pp. 330 - 347 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Apr2023
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| 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=162941086&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 162941086 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2023 vid: 38 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 162941086 10.1093/llc/fqac021 ppf: 330 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: LERA—an interactive platform for synoptical representations of multiple text witnesses. aug: au: Pöckelmann, Marcus Medek, André Ritter, Jörg Molitor, Paul affil: Martin Luther University Halle-Wittenberg, Computer Science Institute , Germany su: Records management Yiddish language Witnesses English language French language sug: subj: Records management Yiddish language Witnesses English language French language ab: In the humanities, text comparison is essential for scholarly editing the traditions of a text with its different witnesses under study. For the computer-aided creation of a critical apparatus, there have been established approaches and tools for many years. However, they mainly focus on subsentences or sentences. An efficient and easy-to-use automatic comparison of entire chapters or books still represents a research desideratum. The Locate, Explore, Retrace and Apprehend complex text variants (LERA) working environment presented here solves this issue. It is based on a two-stage collation approach: an efficient, fully automatic alignment of text segments, which can be paragraphs, subparagraphs or sentences, with interactive post-processing options, followed by the detailed comparison at segment level. Because aligning text segments, such as paragraphs, for more than two text witnesses is algorithmically challenging, we discuss the heuristics we developed in more detail. LERA combines the entire process of document management, tokenization/segmentation, normalization, alignment, and visualization with interactive control options and exploratory tools. It has already been and is being successfully applied in several Digital Humanities projects of different languages, e.g. for Arabic, French, Hebrew as well as German and English texts. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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