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The Telegram Chronicles of Online Harm
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In: Journal of Open Humanities Data; Vol 7 (2021); 8 ; 2059-481X (2021)
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Competition, selection and communicative need in language change: an investigation using corpora, computational modelling and experimentation ...
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Analysis of an Extracted Discipline-Specific Computer Science Vocabulary List
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Sujeito oculto às claras: uma abordagem descritivo-computacional / Omitted subjects revealed: a quantitative-descriptive approach
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In: Revista de Estudos da Linguagem, Vol 29, Iss 2, Pp 1033-1058 (2021) (2021)
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A Corpus Approach to Roman Law Based on Justinian’s Digest ...
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The Quest for 'Falsehood', or a Survey of Tools for the Study of Greek-Syriac-Arabic Translations ...
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The Quest for 'Falsehood', or a Survey of Tools for the Study of Greek-Syriac-Arabic Translations ...
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Discovering and analysing lexical variation in social media text ...
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A Corpus Approach to Roman Law Based on Justinian’s Digest
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Abstract:
Traditional philological methods in Roman legal scholarship such as close reading and strict juristic reasoning have analysed law in extraordinary detail. Such methods, however, have paid less attention to the empirical characteristics of legal texts and occasionally projected an abstract framework onto the sources. The paper presents a series of computer-assisted methods to open new frontiers of inquiry. Using a Python coding environment, we have built a relational database of the Latin text of the Digest, a historical sourcebook of Roman law compiled under the order of Emperor Justinian in 533 CE. Subsequently, we investigated the structure of Roman law by automatically clustering the sections of the Digest according to their linguistic profile. Finally, we explored the characteristics of Roman legal language according to the principles and methods of computational distributional semantics. Our research has discovered an empirical structure of Roman law which arises from the sources themselves and complements the dominant scholarly assumption that Roman law rests on abstract structures. By building and comparing Latin word embeddings models, we were also able to detect a semantic split in words with general and legal sense. These investigations point to a practical focus in Roman law which is consistent with the view that ancient law schools were more interested in training lawyers for practice rather than in philosophical neatness.
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Keyword:
clustering; computational linguistics; corpus linguistics; Digest; distributional semantics; Latin; LatinISE; Python; Roman law; word embeddings
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URL: https://www.repository.cam.ac.uk/handle/1810/311633
https://doi.org/10.17863/CAM.58723
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Discovering and analysing lexical variation in social media text
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Automatic syntactic analysis of learner English ...
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Huang, Yan. - : Apollo - University of Cambridge Repository, 2019
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Detection of Longitudinal Development of Dementia in Literary Writing
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In: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1524651391474684 (2018)
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