TEI-Parsel 1.0

Abstract

TEI-Parsel 1.0 is a Python application that transforms the content of XML-TEI document that follows Lombard Press Schema 1.0.0 guidelines (https://lombardpress.org/schema/docs/diplomatic/) into a web presentation. The web presentation is a static display of pages of the TEI document. Each page contains an image and a transcribed content. The application functions as a tool catering to the needs of historians, archivists, and philologists, facilitating the straightforward visualization of digital editions.

GitHub

Technical Solution

Transcription of text encoded in XML-TEI

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Conversion of XML-TEI in Python

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Visualization on the internet

Example of Visualization

Contribution

Enhanced Accessibility: TEI-Parsel 1.0 simplifies access with its user-friendly solution, granting researchers and the public easy access to historical documents.
Efficient Research: Historians and scholars can analyze digitized documents without the need for specialized software, thus streamlining their research process.
Preservation of Cultural Heritage: By transforming XML-TEI documents into web presentations, TEI-Parsel 1.0 contributes to the preservation and dissemination of cultural heritage.
Collaborative Scholarship: TEI-Parsel 1.0 fosters collaboration among scholars by facilitating effortless sharing and discussion of digitized materials.
Standardization and Interoperability: By adhering to Lombard Press Schema guidelines, TEI-Parsel 1.0 advocates for standardization and compatibility within the Digital Humanities community.

Manual

How to Use?

Install python (miniconda) – Download from https://docs.conda.io/en/latest/miniconda.html
Setup a specific python environment or use base one
Clone the repository (or download it), cd to it
Install dependencies
Run the program from CLI
Copy the generated file(html) + images + bootstrap folders to a location

Detailed Guide

Download and install miniconda (https://docs.conda.io/en/latest/miniconda.html)

Run Anaconda Prompt (miniconda3) – search with windows

cd c:\tei-parser (or to a location where you downloaded this repository)

Python environment setup (Required for running the program)

pip install -r requirements.txt

Python environment setup (Required for running the program)

Run from CLI (from root folder)

python run.py --input_file_path ./_example/Paris-Lat-9765.xml --output_file_path output-full.html

Example Structure of XML-TEI document

Extracted Fields

Area	Tag	Desc	Example	Visualization
teiHeader	title	title		header, title
	author	author		header
	editor	editor		footer
	editionStmt/edition/date	data of translation		header
	publicationStmt/authority/ref	authority		footer
	publicationStmt/availability	license		footer
	listWit/witness	witness		header
	encodingDesc/editorialDecl	declaration		footer
text	pb	page break	<pb facs=““ n=“2v“/>	will break page; facs – link to an image; n – above page
	p	paragraph	<p></p>	same as html p
	lb	line break	</lb>	not used
	note	note	<note></note>	under text, types do not matter, number the notes, display the number in the text
	quote	quote	<quote></quote>	italica (nothing else)
	ref	reference	<ref><name>Horosii</name> narrat<title>historia</title><link>seznam.cz</link></ref>	link <a href=“seznam.cz“><u>Horosiii narrat historia</u></a>

The development of the TEI-Parsel 1.0 application was supported by an internal grant project conducted at Philosophical Faculty of the University of Hradec Králové „International Presentation of Codicological Research at the Philosophical Faculty, University of Hradec Králové II“. The application was created in collaboration with Jan Marek.

Realization: 2023

Authors: Michaela Falátková and Martin Dekarli, Department of Auxiliary Sciences of History and Archival Studies, Philosophical Faculty, University of Hradec Králové