Journal article Open Access
Yanniek van der Schans; David Ruhe; Wido van Peursen; Sandjai Bhulai
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.4003509", "author": [ { "family": "Yanniek van der Schans" }, { "family": "David Ruhe" }, { "family": "Wido van Peursen" }, { "family": "Sandjai Bhulai" } ], "issued": { "date-parts": [ [ 2020, 8, 27 ] ] }, "abstract": "<p>This study examines linguistic variation within Biblical Hebrew<br>\nby using Recurrent Neural Networks (RNNs) to detect differences<br>\nand cluster the Old Testament books accordingly. Various linguistic<br>\nfeatures are analysed that are traditionally considered to be of importance in analysing linguistic variation. The traditional division<br>\nof books as either Early Biblical Hebrew or Late Biblical Hebrew is<br>\nhereby put to the test. Results show that RNNs are a fitting method<br>\nfor analysing the (morpho)syntax of a language. The model works<br>\nwell on both separate features, as well as all the features combined.<br>\nOn the basis of the results the RNNs provide, we propose that<br>\nthe diachronic approach to Biblical Hebrew is indeed plausible.<br>\nThe clusters generally hint to the scholarly division made in the<br>\ndiachronic approach to linguistic variation<br>\n </p>", "title": "Clustering Biblical Texts Using Recurrent Neural Networks", "type": "article-journal", "id": "4003509" }
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