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DTSTART:20260811T223000Z
DTEND:20260812T013000Z
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SUMMARY:TEI 2026: LEAF Commons Tool Suite
DESCRIPTION:This half-day workshop introduces textual scholars and 
 practitioners to the LEAF Commons tool suite 
 (https://www.leaf-vre.org/docs/about-leaf/leaf-commons)\, a set of 
 web-based\, modular\, easy-to-use tools supporting text encoding\, named 
 entity recognition\, web annotation\, text analysis and publication without 
 users having to learn markup/coding languages\, and support easy movement 
 between interoperable tools. This freely available suite of tools supports 
 digital scholarly workflows for the collaborative production and 
 publication of scholarly and documentary editions\, and collections on the 
 web\, without the need for software installation. The LEAF Commons suite 
 enables the use of individual tools for specific purposes\, or supports an 
 end-to-end workflow from transcription to publication allowing it to serve 
 a wide range of research and pedagogical uses. This workshop will introduce 
 the tools\, features and functionality\, integrate training materials in 
 multiple languages\, and encourage participants to think critically about 
 how the LEAF Commons tools might help TEI2026 participants make good 
 choices about their own workflows.\n\nLEAF stands for the Linked Editing 
 Academic Framework\, a collaborative software suite that provides a set of 
 modular tools for text editing and publication.(https://www.leaf-vre.org/) 
 The LEAF Commons tools constitute an accessible\, low-barrier\, no-cost 
 infrastructure for researchers to produce online texts\, editions\, or 
 collections\, whether for teaching or for undertaking research and 
 collaboration on a sustainable basis. The LEAF Commons tools are freely 
 available in the browser\, enabling collaboration and publication through 
 Github\, in addition to permitting local storage or installation in a local 
 stack. The LEAF Commons tools promote reuse of data methodologies in 
 keeping with the FAIR (Findable\, Accessible\, Interoperable\, and 
 Reusable) data principles\, LEAF uses open-source software\, open-access 
 platforms\, and open international standards for best practices in 
 text-encoding (TEI-XML – https://tei-c.org) and web annotation (RDF – 
 https://www.w3.org/RDF/).\n\nLEAF promotes best practices\, reuse\, and 
 sustainability in the production of digital scholarship in the humanities 
 through tools designed to bridge the gap between scholars with (en)coding 
 experience\, and those who do not. LEAF Commons offers communities of 
 researchers\, teachers\, and students the opportunity to take part in 
 digital knowledge production and open collaboration. The workshop will end 
 with open discussion about pursuing such forms of open knowledge production 
 and collaboration.\n\nLEAF-Writer: (https://leaf-writer.leaf-vre.org/) an 
 open-source\, open-access multi-lingual Extensible Markup Language (XML) 
 editor that runs in a web browser and offers scholars and their students a 
 rich textual editing experience without the need to download\, install\, 
 and configure proprietary software\, pay ongoing subscription fees\, or 
 learn complex coding languages. This user-friendly editing environment 
 incorporates Text Encoding Initiatives (TEI) and Resource Description 
 Framework (RDF) standards. It incorporates reconciliation with linked open 
 data identifiers and project-specific authorities as part of the encoding 
 process. LEAF-Writer is particularly valuable in pedagogical contexts\, 
 enabling instructors to teach students good encoding practices without also 
 needing to teach students coding or installing software 
 locally.\n\nLEAF-TE: (The LEAF Turning Engine – 
 https://www.leaf-vre.org/docs/features/leaf-te) is a headless API that 
 enables users to easily and automatically transform documents between 
 formats. It converts HTR/OCR output and MS Word to TEI-XML for importing 
 into LEAF-Writer. It also exports from LEAF-Writer to HTML\, Markdown\, 
 RDF\, CSV\, and plain text for exporting encoded texts for publishing\, 
 analysis\, and preparing for linking textual data.\n\nNERVE: (the Named 
 Entity Relationship and Vetting Environment – 
 https://nerve.lincsproject.ca/) is an application that performs Named 
 Entity Recognition (NER) on machine-readable texts\, allowing users to 
 identify candidate entities in a document\, review\, and correct the 
 results\, to produce both TEI markup and/or Linked Open Data (LOD) Web 
 Annotations. Users can export their reconciled data in TEI-XML or JSON 
 formats to an online repository or to their desktop. NERVE can be used in 
 conjunction with LEAF-Writer\, or as a stand-alone tool.\n\nDToC: (the 
 Dynamic Table of Contexts – https://www.leaf-vre.org/docs/features/dtoc) 
 provides an online interactive reading and publication environment for 
 digital scholarly texts where the two conventional overviews provided in 
 print editions - the table of contents and the index - have been 
 dynamically merged to provide an interactive online e-reading experience 
 that leverages the power of XML markup. Users can build a DToC edition from 
 one or more TEI-XML files\, then curate and label the underlying elements 
 and attributes in order to understand where named entities\, topics\, and 
 concepts can be traced within the edition. Editions can be stored using 
 URLs and shared with readers as published or teaching 
 texts.\n\nRequirements and Availabilities: \n\n\n	Participants will need a 
 web-enabled laptop computer (not a tablet or a mobile device).\n	No 
 software installation is required.\n	Sample texts in multiple languages 
 will be provided\, which participants will continue to have access to after 
 the workshop\; participants can also test their own documents in 
 TEI-conformant XML.\n\n\nThis event is in partnership with SFU Library 
 Research Commons.\n\n
LOCATION:Buchanan B303\, Buchanan
ORGANIZER;CN="Abirami Muthukumar":MAILTO:abi.muthukumar@ubc.ca
CATEGORIES:Digital Scholarship
CONTACT;CN="Abirami Muthukumar":MAILTO:abi.muthukumar@ubc.ca
STATUS:CONFIRMED
UID:LibCal-4043888
URL:https://libcal.library.ubc.ca/event/4043888
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