Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum
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Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum. / Nielbo, Kristoffer Laigaard; Perner, Mads Linnet; Larsen, Christian; Nielsen, Jonas; Laursen, Ditte.
I: CEUR Workshop Proceedings, Bind 2364, 2019, s. 321-332.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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TY - GEN
T1 - Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum
AU - Nielbo, Kristoffer Laigaard
AU - Perner, Mads Linnet
AU - Larsen, Christian
AU - Nielsen, Jonas
AU - Laursen, Ditte
N1 - Conference code: 4
PY - 2019
Y1 - 2019
N2 - Saxo Grammaticus’ medieval source Gesta Danorum (“Deeds of the Danes”) represents the beginning of the modern historical research in Denmark. The bipartite composition of Gesta Danorum has however been subject to much academic debate. In particular the natureand location of a transition between early Pre-Christian and late Christian content have givenrise to two competing accounts. In this paper, we argue that the debate can be represented as a problem of intratextual dynamics and we combine models from Information Retrieval and Natural Language Processing with techniques for time series analysis in order to reevaluate the debate. Results indicate that the transition is gradual, starting in book eight and ending in book ten, but that a point-like interpretation is possible in book nine. We argue that the approach exemplifies scalable “automated close reading”, which has multiple applications in text-based historical research.
AB - Saxo Grammaticus’ medieval source Gesta Danorum (“Deeds of the Danes”) represents the beginning of the modern historical research in Denmark. The bipartite composition of Gesta Danorum has however been subject to much academic debate. In particular the natureand location of a transition between early Pre-Christian and late Christian content have givenrise to two competing accounts. In this paper, we argue that the debate can be represented as a problem of intratextual dynamics and we combine models from Information Retrieval and Natural Language Processing with techniques for time series analysis in order to reevaluate the debate. Results indicate that the transition is gradual, starting in book eight and ending in book ten, but that a point-like interpretation is possible in book nine. We argue that the approach exemplifies scalable “automated close reading”, which has multiple applications in text-based historical research.
M3 - Conference article
VL - 2364
SP - 321
EP - 332
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
T2 - Digital Humanities in the Nordic Countries, 4th Conference
Y2 - 5 March 2019 through 8 March 2019
ER -
ID: 260161117