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Big Translation History and the Use of Data Mining and Big Data Approaches: Panel Report and Observations
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SYSNO ASEP 0522878 Document Type J - Journal Article R&D Document Type The record was not marked in the RIV Subsidiary J Ostatní články Title Big Translation History and the Use of Data Mining and Big Data Approaches: Panel Report and Observations Author(s) Vimr, Ondřej (UCL-M) RID, ORCID Source Title Chronotopos. A Journal of Translation History. - : Universitaet Wien - ISSN 2617-3441
Roč. 1, č. 2 (2019), s. 192-195Number of pages 4 s. Publication form Online - E Language eng - English Country AT - Austria Keywords digital literary studies ; translation history ; translation studies ; methodology ; conferences Subject RIV AJ - Letters, Mass-media, Audiovision OECD category Specific literatures Method of publishing Open access Institutional support UCL-M - RVO:68378068 DOI 10.25365/cts-2019-1-2-11 Annotation The paper reports on the Big Translation History panel of the 2019 European Society for Translation Studies Congress in Stellenbosch and includes a number of observations regarding the digital turn in translation history. The panel discussions focused on issues such as a clear-cut definition of Big Translation History, various scales of analysis, the need for a flexible periodization of the corpus, the manageability and feasibility of data collection and visualization as well as the relationship between qualitative and quantitative analysis. The observations suggest three key challenges researchers will need to focus on the nearest future: data quality, global technological imbalance, black-boxing of data processing. Workplace Institute of Czech Literature Contact Pavla Hartmanová, hartmanova@ucl.cas.cz ; Veronika Zemanová, zemanova@ucl.cas.cz, asep@ucl.cas.cz, Tel.: 222 828 135 Year of Publishing 2020
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