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 language | English |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 2364 |
| Pages (from-to) | 321-332 |
| ISSN | 1613-0073 |
| Publication status | Published - 2019 |
| Event | 4th Conference on Digital Humanities in the Nordic Countries, DHN 2019 - Copenhagen, Denmark Duration: 5. Mar 2019 → 8. Mar 2019 |
Conference
| Conference | 4th Conference on Digital Humanities in the Nordic Countries, DHN 2019 |
|---|---|
| Country | Denmark |
| City | Copenhagen |
| Period | 05/03/2019 → 08/03/2019 |
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Keywords
- Cultural heritage
- Medieval literature
- Text analysis
- Topic modeling
- — Change detection
Cite this
}
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 journal › Conference article › Research › peer-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
KW - Cultural heritage
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
ER -