Downloads provided by UsageCounts
handle: 1854/LU-8648843
As Researcher-in-Residence at the KB National Library of the Netherlands (The Hague), I – Annemieke Romein – I look for early modern norms in books of ordinances (‘plakkaatboeken’). These books hold mainly administrative laws, varying from norms against beggars, safety, but also laws intended to stimulate the economy, and international treaties are frequently included too. Together with colleagues at the library, we are looking for means to have the computer take over the process of categorising these texts. The question is: Can a computer recognise the texts containing rules, and distinguish between texts on religion, maintenance of dykes, colonial affairs, etc.? (Full blog in English) Published at: http://esclh.blogspot.com/2019/08/project-presentation-digital-humanities.html?m=1 (30 August 2019) https://lab.kb.nl/about-us/blog/digital-humanities-and-legal-history-can-computer-read-and-classify-ordinances (10 October 2019)
{"references": ["http://esclh.blogspot.com/2019/08/project-presentation-digital-humanities.html?m=1", "https://lab.kb.nl/about-us/blog/digital-humanities-and-legal-history-can-computer-read-and-classify-ordinances"]}
Digital Humanities, Technology and Engineering, History and Archaeology, digital scholarship, Social Sciences, KB Lab, Computational linguistics, Law and Political Science, Police Ordinances, Entangled Histories
Digital Humanities, Technology and Engineering, History and Archaeology, digital scholarship, Social Sciences, KB Lab, Computational linguistics, Law and Political Science, Police Ordinances, Entangled Histories
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 | |
| downloads | 4 |

Views provided by UsageCounts
Downloads provided by UsageCounts