August 27, 2020 Journal article Open Access

Yanniek van der Schans; David Ruhe; Wido van Peursen; Sandjai Bhulai

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{
  "description": "<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&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Vrije Universiteit Amsterdam", 
      "@type": "Person", 
      "name": "Yanniek van der Schans"
    }, 
    {
      "affiliation": "Vrije Universiteit Amsterdam", 
      "@type": "Person", 
      "name": "David Ruhe"
    }, 
    {
      "affiliation": "Vrije Universiteit Amsterdam", 
      "@type": "Person", 
      "name": "Wido van Peursen"
    }, 
    {
      "affiliation": "Vrije Universiteit Amsterdam", 
      "@type": "Person", 
      "name": "Sandjai Bhulai"
    }
  ], 
  "headline": "Clustering Biblical Texts Using Recurrent Neural Networks", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-08-27", 
  "url": "https://zenodo.org/record/4003509", 
  "keywords": [
    "Recurrent Neural Networks", 
    "Biblical Hebrew", 
    "Diachronic Liguistics", 
    "Computational Semantics"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4003509", 
  "@id": "https://doi.org/10.5281/zenodo.4003509", 
  "@type": "ScholarlyArticle", 
  "name": "Clustering Biblical Texts Using Recurrent Neural Networks"
}