This half-day hands-on tutorial introduces researchers with little or no familiarity with corpus linguistic tools – particularly noSketchEngine – to the upgraded version of the ParlaMint corpora enhanced with topic and sentiment coding under the Open Science ParlaCAP project, empowering research on individual national parliaments, transnational comparisons and cross-disciplinary collaboration.

This workshop aims to foster an interdisciplinary community of practice and to develop common guidelines for the transcription and encoding of ancient Greek texts. It will adopt a participatory, use case-driven approach, focusing on addressing technical and methodological challenges.

In digital humanities, openness has become a default, bringing with it both possibilities for empowerment through knowledge distribution and challenges of replicating power imbalances and social oppression and repression. Two case studies demonstrate how critical refusal and slow scholarship, alongside indigenous data sovereignty, offer a shift in open approaches.

This study explores healthcare and migration challenges faced by South Indian trans women, highlighting limited central scheme access and inadequate state transportation support. It proposes the need for policy promotion, awareness, and inclusive mobility initiatives and a Google Maps platform to improve healthcare access and foster a supportive community.

This panel will explore a series of global studies and landmark guidelines for evaluation in DH in order to examine questions around evaluation aims, design, intended audience, thematic coverage, professional scope, actual impact and future projection based on multilingualism and geoculturally inclusive values at their core.

The traditional guru-shishya (teacher-student) model of Carnatic music education presents challenges of access, personalization, and real-time feedback in contemporary contexts. Drawing from primary research, technological insights, user experience design and existing pedagogical practices, this study identifies opportunities for an AI companion to augment the human element in Carnatic music education.

This paper explores generative AI audio tools using a concept that I call computational audible infrastructures to explore their role in infrasomatisation. I focus on the code aspects to consider their role in affecting cultural tradition to draw on Benjamin and the removal of human context.

La presente propuesta tiene como propósito mostrar los primeros resultados del proyecto MUSred, cuyo diseño y desarrollo se basan en la complementariedad entre metodologías y herramientas propias de las humanidades digitales y de la musicología.

This study explores the use of facial expression recognition to detect and retrieve personalized music preferences for individuals with dementia. By analyzing emotional and physical responses, the research aims to create a user-friendly app that enhances emotional well-being and memory recall, offering a non-invasive, culturally sensitive solution for dementia care.

This paper advocates for new systems of cataloguing that make archival research for sound studies more feasible. Drawing on the J. Fred and Leslie MacDonald Collection at the Library of Congress, USA, I show how new metadata and tagging conventions can make sonic research in AV collections more feasible.

LLM personalization is becoming increasingly accessible, with little critical inquiry into the extent to which these models are actually capable of representing personal identity. We present two methods for training LLMs on a personal corpus using open-access tools and evaluate the usefulness of such processes for encountering narrative identity.

This paper outlines the use of locative literature (a location-responsive narrative accessed via mobile app) to digitally represent materials from the Stuart Hall Archive. Hall’s work on media serves as conceptual inspiration for both the narrative and interface design. It invites users to navigate the archive through sites of significance.

We analyze associations between fictional characters and emotions in a corpus of fanfiction about Greek myth, using vector space models. We examine the similarity in the VSM between six basic emotions -- sadness, joy, anger, fear, surprise and disgust -- and popular characters, and compare patterns across character-genders and fanfiction-genres.

This paper introduces a machine learning approach to reassemble fragmented oracle bones, which are important materials for understanding early Chinese history. Specifically, we propose a model based on the Diffusion Model, a generative deep learning framework that has demonstrated remarkable performance in computer vision tasks in recent years.

Research in mathematics, computational sciences, and archaeological theory has addressed the uncertainty in archaeological data and its links to annotator expertise/confidence. This study uses real data and three annotators with varying expertise to evaluate concordance metrics for fuzzy annotations, applying computational linguistics and vector distance methods within fuzzy data models.

The paper introduces RDFProxy, a Python library designed for building REST
APIs on top of Knowledge Graphs using Pydantic models.

RDFProxy is currently being developed at the Austrian Center for Digital Humanities and Cultural Heritage and will serve as the backend solution for the Releven project at University of Vienna.

This study examines the authorship of the Armenian geographical treatise Ashkharhatsuyts using stylometric methods. Results attribute the text to Anania Shirakatsi, aligning with prior hypotheses, while excluding Movses Khorenatsi. Uncertainty in early passages suggests potential compilations. Findings also question the authorship of Eghishe's Commentary on Genesis.

This paper addresses the lack of a coherent framework for understanding bias in digital humanities. Using colonial archives as case studies, it examines biases in archives, digitization, and AI. It proposes reframing bias as an analytical category and introduces a framework to dissect its interconnected dimensions.

I will discuss the challenges of handling living resources and relate them to already existing strategies and their vulnerabilities. I will present an approach for managing living resources by considering the responsibilities of different stakeholders – researchers, funding institutions and data centers/libraries – and argue for their orchestration.

We describes workflows, complexities and challenges in a digital pilot project on the Archive of German Speaking Jews in Israel, concentrating specifically on two complementing classification workflows: image classification of the digitized scans as a preliminary step for document analysis, and LLM assisted parsing and classification of folder level catalog entries.

Presentación de la etapa inicial del proyecto de investigación Trad-Divers, consistente en la construcción de un dataset, en acceso abierto, modelando datos de 8 programas de ayuda a la traducción editorial en Iberoamérica (2001-2022), con el objetivo de incidir en la discusión y diseño de este tipo de políticas culturales.

This research uses Omeka S to construct and analyze a parallel corpus of 19th-early 20th century Japanese and Ryukyuan Bible translations. Using TEI encoding, stylometric analysis, and LOD principles, it reveals translation networks and linguistic patterns among Protestant, Orthodox, Catholic, and regional language translations, preserving linguistic heritage through digital methods.

We proposes a new method for extracting text in speech bubbles, onomatopoeia, and annotations from manga by identifying differential regions in multiple language versions. A preliminary experiment demonstrates the effectiveness of our method, achieving high accuracy in extracting speech bubbles and other areas.

This project develops a context-sensitive parser for Syriac using an encoder-only transformer model within ETCBC’s Qoroyo platform, addressing Semitic text challenges. It benchmarks LLMs for ancient languages, aiming for high accuracy and a quantifiable morphological analysis evaluation like GLUE or BLEU.

The study aims to test whether the well known stylometric methods are able to distinguish machine and human literary translation. The analysed corpus consists of novels translated into English, French and Polish to test whether the inflectionality of language plays a role in the quality of translation.

Most Nazi persecution memorials use physical maquettes for informing the historical site’s spatial organisation to visitors. In this paper we present the Future Memory Maquette Explorer from MEMORISE exhibition at Bergen-Belsen Memorial. It uses Augmented Reality technology to allow users to explore prisoner artworks, conveying the human dimension of history.

We aim to theorize the medieval manuscript page and its contents more holistically, using state of the art techniques to segment and describe the entire manuscript folio, for the purpose of creating richer training data for computer vision techniques, namely instance segmentation, and multimodal models for medieval-specific visual content.

Our project reimagines medieval sortes texts through virtual reality, combining textual scholarship with performative modeling. By situating these divinatory texts in immersive settings—monastic libraries, astrologers' laboratories, and taverns—we simulate their ritualistic and interactive nature. This approach bridges philology, media studies, and media archaeology, offering new insights into multimodal historical textuality.

This contribution discusses an innovatively stratified collection of German language data, ranging from informal spoken interactions to formal written texts. It highlights methods for analyzing linguistic patterns using natural language processing, with a particular focus on discourse markers and a machine learning model for identifying them across diverse communicative contexts.

Research Infrastructures (RIs) in the humanities actively shape our understanding of the world. Using examples of bibliographies and corpora, this paper examines how methodological choices in building RIs in digital literary studies influence representation, advocating for open infrastructures to ensure inclusivity and a more nuanced understanding of the literary landscape.

With the rise of LLM and the increasing computational expense of AI, humanists will increasingly turn to high-performance computing (HPC). This can be an alienating pivot for many researchers. As a Research Data Facilitator with a decade of HPC experience, I will present models for effectively integrating humanists into HPC.

The paper examines key features of research infrastructures in humanities and cultural heritage that support open science, focusing on federated RIs as marketplaces connecting diverse networks. It discusses the technological foundation and API orchestration for DH workflows within the H2IOSC MarketPlace, highlighting contributions of the OPERAS node to this project.

As the triad of publishing a paper, data and code poses challenges for the comprehensibility, reproducibility, and accessibility of the research, we present our approach towards a "modularised open infrastructure for research publications” in which a publication is accompanied by modules facilitating e.g.reproduction or result investigation.

The digital publication of a vast and diverse cultural collection is the starting point for an investigation on the relationship between intermediality, narration, data and cultural heritage, that converge into the design of an interface model that allows visitors to experience textual and photographic archival items synchronously.

This presentation showcases the release of AREPR’s community archiving resource, Bilingual Archiving in a Box (BArch Box). Consisting of guides, manuals, and video tutorials on community archiving, BArch Box is a bilingual community archiving toolkit designed for use by community groups, universities, and libraries across the Spanish- and English-speaking world.

This paper examines how the 'anarchiving as research-creation' approach informs the Salvadoran Civil War Digital Music Archive. By blending historic and modern recordings, this digital repository explores music as a cultural memory and a tool for justice, addressing postwar challenges through experimental, participatory, and future-oriented archival practices.

Digitizing cultural heritage preserves artifacts and improves accessability. Libraries like the Jagiellonian Digital Library offer datasets via OAI-PMH, but incomplete metadata limits searchability. We propose using computer vision, AI, and semantic web technologies to enrich metadata and construct knowledge graphs for digitized manuscripts and incunabula.

This study explores how Generative AI and Retrieval Augmented Generation (RAG) enhance archival research by developing an AI-enhanced database for the Collection of Historical Archives on Sino-Russian Relations. Integrating metadata and thematic search capabilities, the methodology improves retrieval precision and accessibility, offering transformative potential for historical research across diverse domains.

This study introduces the process of creating a corpus of Ottoman Turkish poems written between 15th and 19th century and gives a use case for the corpus on the adaptation of the aruz meter in Ottoman Turkish poetry via using the corpus.

This paper examines Active Learning (AL) in vision models by asking: which data to train on, and how much? Using a case study on person detection in art-historical images, it discusses the potential of AL to improve model performance while providing broadly applicable insights for disciplines within image science.

Heritage of Nazi persecution (HNP) poses a challenge for computer-based visualisation and design, which gives rise to ethical considerations. In this paper, we discuss principles for digital reconstruction and accessibility of historical sources, and relate this to solutions developed for an inclusive design and visualization of HNP.

O artigo aborda a diversidade linguística nas Humanidades Digitais (HD), com análise bibliométrica das bases Web of Science e Scopus (2012–2021). Apesar do predomínio do inglês, observa-se crescente multilinguismo, com o espanhol e o alemão em destaque. Os resultados sublinham a importância da inclusão linguística nas HD.

This paper critiques "data colonialism" as a metaphor for exploitation in the digital economy, arguing it misses key aspects of contemporary data practices. We propose instead the "company town," which better captures the user-platform relationship and highlights ethical concerns for Digital Humanities researchers involved in community-focused work.

O estudo analisa a representatividade de género nas Humanidades Digitais, examinando padrões de autoria na Digital Humanities Quarterly entre 2015-2024. Os resultados preliminares revelam 50,9% de autoras no período compreendido entre 2018-2022, desafiando pressupostos anteriores sobre disparidades de género na publicação científica naquela área.

We apply distant-viewing analyses of pose and action recognition data to 30 full-length recorded works from three prominent theater directors (10 per director) to explore how computational methods can detect a director’s oeuvre-scale choreographic tendencies from video sources. We further evaluate which features best delineate such stylistic “signatures.”

This study leverages a LLM-based wordplay detection pipeline for authorship attribution in Colette's disputed works. Combining semantic segmentation, emotion filtering, named entity recognition and wordplay annotation, we detect a few intricate wordplays consistent with Willy's style. Results support minimal direct influence from Willy while identifying targeted passages, offering insights into collaborative authorship processes.