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Journal of Open Humanities Data (JOHD)
Article . 2024 . Peer-reviewed
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A Survey of Body Part Construction Metaphors in the Neo-Assyrian Letter Corpus

Authors: Matthew Ong; Shai Gordin;

A Survey of Body Part Construction Metaphors in the Neo-Assyrian Letter Corpus

Abstract

The dataset consists of approximately 2,400 examples of metaphors in Akkadian of what we term Body Part Constructions (BPCs) within the letter sub-corpus of the State Archives of Assyria online (SAAo). The dataset was generated by a multi-step process involving the training and application of a language model to the SAAo letter sub-corpus, converting the resulting annotations to linked open data format amenable to searching for BPCs, and manually adding metalinguistic data to the search results; these files, in CONLLU and TTL formats, are also made available in this publication. The BPC dataset is stored as a CSV file, and can serve as an easy starting place for other scholars interested in finding socio-linguistic usage patterns of this construction.

Keywords

akkadian, body parts, Language and Literature, AZ20-999, language model, linked open data, neo-assyrian letters, History of scholarship and learning. The humanities, P, metaphor, Akkadian, Neo-Assyrian letters

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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