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Cuneiform Text Analysis 1.0.0

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25210%2F24%3A39922200" target="_blank" >RIV/00216275:25210/24:39922200 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.5281/zenodo.14577024" target="_blank" >https://doi.org/10.5281/zenodo.14577024</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Cuneiform Text Analysis 1.0.0

  • Original language description

    This software contains scripts for app Cuneiform Text Analyser. The scripts provided here are built to run this app on your own computer. The script enables analysis of transcribed cuneiform texts in Word, structured in tables. So far, it is able to analyse text where transcribed text and translation are structured in lines or in columns. It is also able to analyse cuneiform text without translation. The functions currently enable to: 1) show the text in the app in tables, 2) analyse signes used in the input docement, counting separately signs that are preserved, partially preserved, reconstructed by the editor, or otherwise added to the text, 3) analysed word forms used in the input docement, counting separately forms that are preserved, partially preserved, reconstructed by the editor, 4) prepare glossary, i.e., collecting attestations of word forms. The script also serves to pretere ATF files for ORACC (Open Richly Annotated Cuneiform Corpus) based on the input document. This should help with the transformation of Word documents into enriched digital collection.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    60500 - Other Humanities and the Arts

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    Nepřidělen

  • Technical parameters

    Python 3.13

  • Economical parameters

    Skript usnadňující zpracování dat.

  • Owner IČO

    00216275

  • Owner name

    Univerzita Pardubice