August 27, 2020 Journal article Open Access

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

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        <foaf:name>Yanniek van der Schans</foaf:name>
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        <foaf:name>David Ruhe</foaf:name>
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        <foaf:name>Wido van Peursen</foaf:name>
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        <foaf:name>Sandjai Bhulai</foaf:name>
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    <dct:title>Clustering Biblical Texts Using Recurrent Neural Networks</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
    <dcat:keyword>Recurrent Neural Networks</dcat:keyword>
    <dcat:keyword>Biblical Hebrew</dcat:keyword>
    <dcat:keyword>Diachronic Liguistics</dcat:keyword>
    <dcat:keyword>Computational Semantics</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-08-27</dct:issued>
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    <dct:description>&lt;p&gt;This study examines linguistic variation within Biblical Hebrew&lt;br&gt; by using Recurrent Neural Networks (RNNs) to detect differences&lt;br&gt; and cluster the Old Testament books accordingly. Various linguistic&lt;br&gt; features are analysed that are traditionally considered to be of importance in analysing linguistic variation. The traditional division&lt;br&gt; of books as either Early Biblical Hebrew or Late Biblical Hebrew is&lt;br&gt; hereby put to the test. Results show that RNNs are a fitting method&lt;br&gt; for analysing the (morpho)syntax of a language. The model works&lt;br&gt; well on both separate features, as well as all the features combined.&lt;br&gt; On the basis of the results the RNNs provide, we propose that&lt;br&gt; the diachronic approach to Biblical Hebrew is indeed plausible.&lt;br&gt; The clusters generally hint to the scholarly division made in the&lt;br&gt; diachronic approach to linguistic variation&lt;br&gt; &amp;nbsp;&lt;/p&gt;</dct:description>
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