SHEBANQ Data







SHEBANQ: System for HEBrew Text: ANnotations for Queries and Markup

Summary

The WIVU Hebrew Text Database contains the Hebrew text of the Old Testament enriched with many linguistic features at the morpheme level up to the discourse level.

Background

The WIVU (Werkgroep Informatica Vrije Universiteit) Hebrew Text Database contains the Biblia Hebraica Stuttgartensia (BHS) version of the text of the Hebrew Bible. Portions of other Semitic languages are included as well: the Aramaic sections of the Old Testament, two Syriac versions, and annotated portions of the Syriac and Aramaic translations. All these texts have been enriched with features that primarily result from linguistic analysis. The database can be queried by means of a language that is optimized to deal with data that is modeled as objects + features. SHEBANQ builds a bridge between the linguistically annotated Hebrew Text corpus and biblical scholars by (1) making this text, including its annotations, available to scholars; (2) demonstrating how queries can function to address research questions; the query saver and the metadata added to them will be a growing repository of valuable best practices of what queries are used in addressing research questions and how they contribute to answering these questions; (3) giving textual scholarship a more empirical basis, by creating the opportunity that claims made in scholarly articles (e.g.: “this syntactic pattern is not attested elsewhere in the Hebrew Bible”) can be accompanied by the unique identifiers that refer to the saved queries that have led to the claim. The WIVU database is a resource under long-term development. New features are being added, new corrections are being made over time.

Contacts
  • Project leader: 
Prof. Dr. W.T. (Wido) van Peursen (VU University)
  • CLARIN center: Data Archiving and Networked Services (DANS)
  • Help contact
: dirk.roorda@dans.knaw.nl
Links

Country

Netherlands

CLARIN centre

DANS

Language

Research domain

Resource tags

Annotations

Format

LAF
XML
RDF