Number of the records: 1
Reconstructing and interpreting large datasets on historical translation flows
- 1.0580749 - ÚČL 2024 RIV eng A - Abstract
Vimr, Ondřej
Reconstructing and interpreting large datasets on historical translation flows.
[Translation Studies and the Digital Humanities. Hong Kong, 08.12.2023-09.12.2023]
Method of presentation: Prezentace
URL events: http://dh.tra.cuhk.edu.hk/index.html
R&D Projects: GA MŠMT(CZ) LM2023043
Institutional support: RVO:68378068
Keywords : translation studies * digital humanities
OECD category: Specific languages
This paper explores the challenges of reconstructing and interpreting a bibliographic dataset on the dissemination of Czech literature in 1850-2020 from a large-scale data perspective. Starting with over 2 000 000 bibliographic records on books licensed from the OCLC (WorldCat.org), it examines data processing and cross-enrichment, scrutinises the quality and reliability of the resulting dataset, and finally uses the data to examine the global trajectories of authorships and their clusters throughout almost two centuries. The results may serve as an inspiration for any historian of translation who suffers from a lack of bibliographic data especially in case of smaller national literatures.
Permanent Link: https://hdl.handle.net/11104/0349512
Number of the records: 1