ENLAC Software Overview

1. ENLAC Pipeline

https://github.com/unilenlac/enlac

Technologies:

Shell, Docker

Description:

Pipeline for Digital Scholarly Editing of Apocryphal Literature integrating transcription checking; tokenisation & normalisation (tpen2tei-ENLAC); collation (CollateX); analysis (Stemmarest-ENLAC & Stemmaweb-ENLAC); and TEI Critical Apparatus export for edition visualisation.

Usage scenario:

• full pipeline: pipeline + Stemmarest + Stemmaweb
• vanilla pipeline: pipeline only (uses existing Stemmaweb and Stemmarest instances)
• data reuse: Stemmarest + Stemmaweb (uses existing edition data).

2. tpen2tei-ENLAC

https://github.com/unilenlac/tpen2tei/tree/xmlrich_tokenization

Technologies:

Python

Description:

Component of ENLAC Pipeline used for transcription tokenisation.

3. Stemmarest-ENLAC

https://github.com/unilenlac/tradition_repo/tree/IRSB

Technologies:

Java, Maven, neo4j, CYPHER, REST API, Graphviz DOT, Apache Tomcat, Docker

Description:

Component of ENLAC Pipeline used for variant analysis and edition data storage. Manages and serves edition data stored as a neo4j graph database. Backend for Stemmaweb-ENLAC.

4. Stemmaweb-ENLAC

https://github.com/unilenlac/stemmaweb/tree/IRSB

Technologies:

Javascript, jQuery, D3, SVG, Perl, Catalyst, Ajax, CSS, Docker

Description:

Component of ENLAC Pipeline used for variant analysis and edition data creation. Frontend (user interface) for Stemmarest-ENLAC.

5. ENLAC Collation

https://github.com/unilenlac/enlac-collation

Technologies:

Python, Javascript, CSS, Shell, Docker

Description:

Plug-in for ENLAC Pipeline user for collation visualisation. Usage scenario: standard (use with existing collation data generated by ENLAC Pipeline).

6. ENLAC Synopsis

https://github.com/unilenlac/enlac-synopsis

Technologies:

Javascript, CSS, jQuery, Python

Description:

Online tool for creating synoptic editions.

Usage scenario:

standard (customise HTML page and work in the browser).

7. ENLAC Appendix https://github.com/unilenlac/enlac-appendix

Technologies:

Python, Docker

Description:

Utilities for ENLAC Pipeline (transcription lb numbering check; transcription auto number lb; etc).

Usage scenario:

standard (use during manual transcription).