Text-Fabric Dataset of the Samaritan Pentateuch.

In this article, the authors present a dataset of the text of the Samaritan Pentateuch with word-level linguistic annotations. The Samaritan Pentateuch is an important early witness of the Pentateuch or Torah. This dataset is based on a transcription generally taken from manuscript Dublin, Chester B...

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Published in:Research Data Journal for the Humanities & Social Sciences Vol. 9; no. 1; pp. 1 - 14
Main Authors: Naaijer, Martijn, Højgaard, Christian Canu, Schorch, Stefan, Ehrensvärd, Martin
Format: Article
Published: openjournals.nl 2024
Subjects:
Online Access:View this record in EBSCOhost
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        atl: Text-Fabric Dataset of the Samaritan Pentateuch.
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          Naaijer, Martijn
          Højgaard, Christian Canu
          Schorch, Stefan
          Ehrensvärd, Martin
        affil:
          Faculty of Theology, University of Copenhagen, Copenhagen, Denmark
          Fjellhaug International University College, Copenhagen, Denmark
          Faculty of Humanities, The Hebrew University of Jerusalem, Jerusalem, Israel
      su:
        Jews
        Samaritans
        Linguistics
        Bible
        Python programming language
      sug:
        subj:
          Jews
          Samaritans
          Linguistics
          Bible
          Python programming language
      keyword:
        digital corpus
        Hebrew
        linguistics
        Pentateuch
      ab: In this article, the authors present a dataset of the text of the Samaritan Pentateuch with word-level linguistic annotations. The Samaritan Pentateuch is an important early witness of the Pentateuch or Torah. This dataset is based on a transcription generally taken from manuscript Dublin, Chester Beatty Library 751 (Genesis 1:1–Deuteronomy 32:36) and supplemented from manuscript Nablus (Kiryat Luza), Samaritan Synagogue, Garizim 1, where the former manuscript has not preserved the text (Deuteronomy 32:36b–34:10). The dataset is a Text-Fabric dataset. Text-Fabric is a Python package for processing annotated text corpora, which means that the dataset comes with an app, where the text can be inspected and queried using the annotations. It is also easy to perform textual and linguistic research using Python scripts and to make comparisons with other relevant textual datasets with the same annotation conventions.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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