August 27, 2020 Journal article Open Access

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

JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/54415e73-1e15-4dab-9c12-911bd8c13bc8/Yanniek_David_FINAL.pdf"
      }, 
      "checksum": "md5:d938f106ab0d5e13f2514ff4cd94ece6", 
      "bucket": "54415e73-1e15-4dab-9c12-911bd8c13bc8", 
      "key": "Yanniek_David_FINAL.pdf", 
      "type": "pdf", 
      "size": 2872912
    }
  ], 
  "owners": [
    55597
  ], 
  "doi": "10.5281/zenodo.4003509", 
  "stats": {
    "version_unique_downloads": 173.0, 
    "unique_views": 243.0, 
    "views": 253.0, 
    "version_views": 253.0, 
    "unique_downloads": 173.0, 
    "version_unique_views": 243.0, 
    "volume": 525742896.0, 
    "version_downloads": 183.0, 
    "downloads": 183.0, 
    "version_volume": 525742896.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.4003509", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.4003508", 
    "bucket": "https://zenodo.org/api/files/54415e73-1e15-4dab-9c12-911bd8c13bc8", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.4003508.svg", 
    "html": "https://zenodo.org/record/4003509", 
    "latest_html": "https://zenodo.org/record/4003509", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.4003509.svg", 
    "latest": "https://zenodo.org/api/records/4003509"
  }, 
  "conceptdoi": "10.5281/zenodo.4003508", 
  "created": "2020-08-27T08:01:14.294451+00:00", 
  "updated": "2020-08-27T12:59:23.261563+00:00", 
  "conceptrecid": "4003508", 
  "revision": 2, 
  "id": 4003509, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.4003509", 
    "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": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Clustering Biblical Texts Using Recurrent Neural Networks", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "4003508"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "4003509"
          }
        }
      ]
    }, 
    "communities": [
      {
        "id": "niaaproceedings1819"
      }
    ], 
    "keywords": [
      "Recurrent Neural Networks", 
      "Biblical Hebrew", 
      "Diachronic Liguistics", 
      "Computational Semantics"
    ], 
    "publication_date": "2020-08-27", 
    "creators": [
      {
        "affiliation": "Vrije Universiteit Amsterdam", 
        "name": "Yanniek van der Schans"
      }, 
      {
        "affiliation": "Vrije Universiteit Amsterdam", 
        "name": "David Ruhe"
      }, 
      {
        "affiliation": "Vrije Universiteit Amsterdam", 
        "name": "Wido van Peursen"
      }, 
      {
        "affiliation": "Vrije Universiteit Amsterdam", 
        "name": "Sandjai Bhulai"
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "subtype": "article", 
      "type": "publication", 
      "title": "Journal article"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.4003508", 
        "relation": "isVersionOf"
      }
    ]
  }
}