title: Multilingual research projects: Challenges for making use of standards, authority files, and character recognition
creator: Arnold, Matthias
subject: ddc-004
subject: 004 Data processing Computer science
subject: ddc-020
subject: 020 Library and information sciences
subject: ddc-400
subject: 400 Linguistics
subject: ddc-490
subject: 490 Other languages
subject: ddc-890
subject: 890 Literatures of other languages
subject: ddc-950
subject: 950 General history of Asia Far East
description: Academic research about digital non-Latin script (hereafter: NLS) research data can pose a number of challenges just because the material is from a region where the Latin alphabet was not used. Not all of them are easy to spot. In this paper, I introduce two use cases to demonstrate different aspects of the complex tasks that may be related to NLS material. The first use case focuses on metadata standards used to describe NLS material. Taking the VRA Core 4 XML as example, I will show where we found limitations for NLS material and how we were able to overcome them by expanding the standard. In the second use case, I look at the research data itself. Although the full text digitization of western newspapers from the 20th century usually is not problematic anymore, this is not the case for Chinese newspapers from the Republican era (1912-1949). A major obstacle here is the dense and complex layout of the pages, which prevents OCR solutions to get to the character recognition part. In our approach, we are combining different manual and computational methods, like crowdsourcing, pattern recognition, and neural networks to be able to process the material in a more efficient way. The two use cases illustrate that data standards or processing methods which are established and stable for Latin script material may not always be easily adopted to non-Latin script research data.
date: 2021
type: Preprint
type: info:eu-repo/semantics/preprint
type: NonPeerReviewed
format: application/pdf
identifier: https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/30918/7/Arnold_Multilingual_research_2021.pdf
identifier: DOI:10.11588/heidok.00030918
identifier: urn:nbn:de:bsz:16-heidok-309181
identifier:   Arnold, Matthias  (2021) Multilingual research projects: Challenges for making use of standards, authority files, and character recognition.  [Preprint]     
relation: https://archiv.ub.uni-heidelberg.de/volltextserver/30918/
rights: info:eu-repo/semantics/openAccess
rights: Please see front page of the work (Sorry, Dublin Core plugin does not recognise license id)
language: eng