Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum

Kristoffer L. Nielbo*, Mads L. Perner, Christian Larsen, Jonas Nielsen, Ditte Laursen

*Corresponding author for this work

Research output: Contribution to journalConference articleResearchpeer-review

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Abstract

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 nature and location of a transition between early Pre-Christian and late Christian content have given rise 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.


Change Detection, Cultural Heritage, Medieval Literature, Text Analysis, Topic Modeling

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume2364
Pages (from-to)321-332
ISSN1613-0073
Publication statusPublished - 2019
Event4th Conference on Digital Humanities in the Nordic Countries, DHN 2019 - Copenhagen, Denmark
Duration: 5. Mar 20198. Mar 2019

Conference

Conference4th Conference on Digital Humanities in the Nordic Countries, DHN 2019
CountryDenmark
CityCopenhagen
Period05/03/201908/03/2019

Fingerprint

Time series analysis
Information retrieval
Processing
Chemical analysis

Keywords

  • Cultural heritage
  • Medieval literature
  • Text analysis
  • Topic modeling
  • — Change detection

Cite this

Nielbo, K. L., Perner, M. L., Larsen, C., Nielsen, J., & Laursen, D. (2019). Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum. CEUR Workshop Proceedings, 2364, 321-332.
Nielbo, Kristoffer L. ; Perner, Mads L. ; Larsen, Christian ; Nielsen, Jonas ; Laursen, Ditte. / Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum. In: CEUR Workshop Proceedings. 2019 ; Vol. 2364. pp. 321-332.
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title = "Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum",
abstract = "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 nature and location of a transition between early Pre-Christian and late Christian content have given rise 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.Change Detection, Cultural Heritage, Medieval Literature, Text Analysis, Topic Modeling",
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author = "Nielbo, {Kristoffer L.} and Perner, {Mads L.} and Christian Larsen and Jonas Nielsen and Ditte Laursen",
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journal = "CEUR Workshop Proceedings",
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Nielbo, KL, Perner, ML, Larsen, C, Nielsen, J & Laursen, D 2019, 'Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum', CEUR Workshop Proceedings, vol. 2364, pp. 321-332.

Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum. / Nielbo, Kristoffer L.; Perner, Mads L.; Larsen, Christian; Nielsen, Jonas; Laursen, Ditte.

In: CEUR Workshop Proceedings, Vol. 2364, 2019, p. 321-332.

Research output: Contribution to journalConference articleResearchpeer-review

TY - GEN

T1 - Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum

AU - Nielbo, Kristoffer L.

AU - Perner, Mads L.

AU - Larsen, Christian

AU - Nielsen, Jonas

AU - Laursen, Ditte

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 nature and location of a transition between early Pre-Christian and late Christian content have given rise 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.Change Detection, Cultural Heritage, Medieval Literature, Text Analysis, Topic Modeling

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 nature and location of a transition between early Pre-Christian and late Christian content have given rise 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.Change Detection, Cultural Heritage, Medieval Literature, Text Analysis, Topic Modeling

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KW - Medieval literature

KW - Text analysis

KW - Topic modeling

KW - — Change detection

M3 - Conference article

VL - 2364

SP - 321

EP - 332

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

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Nielbo KL, Perner ML, Larsen C, Nielsen J, Laursen D. Automated compositional change detection in Saxo Grammaticus’ Gesta Danorum. CEUR Workshop Proceedings. 2019;2364:321-332.