Call for papers: The First Workshop on Natural Language Processing and Language 
Models for Digital Humanities
(LM4DH_2025) @ RANLP_2025
Date: 11th- to 13th September 2025 (TBC)
Venue : Varna, Bulgaria
Website: https://www.clarin.eu/event/2025/clarin-workshop-ranlp-2025
Submissions Portal: https://softconf.com/ranlp25/LM4DH2025/

Digital Humanities has emerged as an interdisciplinary field of research, 
serving as an intersection of computer science with many other fields such as 
linguistics, social sciences, history, psychology, etc. With the development of 
Large Language Models (LLMs), state-of-the-art Natural Language Processing 
(NLP) tasks such as entity recognition, sentiment analysis, and text 
summarisation have been significantly enhanced, offering powerful tools to 
analyse and interpret complex historical and cultural data. These developments 
offer transformative capabilities for analysing and interpreting complex 
historical and cultural datasets, including oral histories, archival documents, 
and literary texts. These advancements provide powerful tools for analysing and 
interpreting intricate historical, cultural, and social data, enabling 
researchers to identify patterns, extract meaningful relationships, and 
generate interpretations at unprecedented scale and precision.

This workshop aims to provide a common platform for researchers, practitioners, 
and students from diverse disciplines to collaboratively explore and apply 
AI-driven techniques in the Digital Humanities. Through interdisciplinary 
discussion, the event aims to generate creative approaches, exchange best 
practices, and create a community committed to furthering AI-based research on 
human culture and history. The focus of the workshop is on applying natural 
language processing techniques to digital humanities research. The topics can 
be anything of digital humanities interest with a natural language processing 
or LLM-based application. We expect contributions related (but not limited) to 
the following topics:


  *   Text analysis and processing related to the humanities using 
computational methods
  *   Usage of the interpretability of large language models' output for 
DH-related tasks
  *   Dataset creation and curation for NLP (e.g. digitisation, datafication, 
and data preservation
  *   Automatic error detection, correction, and normalisation of textual data
  *   Generation and analysis of literary works such as poetry and novels
  *   Analysis and detection of text genres
  *   Emotion analysis for the humanities and literature
  *   Modelling of information and knowledge in the Humanities, Social 
Sciences, and Cultural Heritage
  *   Low-resource and historical language processing
  *   Search for scientific and/or scholarly literature
  *   Profiling and authorship attribution
Submission & Publication
All papers must represent original and unpublished work that is not currently 
under review. Papers will be evaluated according to their significance, 
originality, technical content, style, clarity, and relevance to the workshop.
Submissions must follow the RANLP 2025 submission 
guidelines<https://ranlp.org/ranlp2025/index.php/submissions/>, using ACL-style 
templates (LaTeX or MS Word).
Paper must be submitted using SoftConf at 
https://softconf.com/ranlp25/LM4DH2025/
All papers will be double-blind peer reviewed. Authors of the accepted papers 
will present their work in either the oral or poster session. All accepted 
papers will appear in the workshop proceedings that will be published in ACL 
Anthology.
Important Dates

  *   Paper submission deadline: 20th July 2025
  *   Notification of acceptance: 2nd August 2025
  *   Camera-ready paper: 20th August 2025
  *   Workshop date: 11th September 2025
Organising Committee

  *   Isuri Anuradha, Lancaster University, UK
  *   Francesca Frontini, CNR-ILC, Italy & CLARIN ERIC
  *   Paul Rayson, Lancaster University, UK
  *   Ruslan Mitkov, Lancaster University, UK
  *   Deshan Sumanathilake, Swansea University, UK



This workshop has been organised with the generous support and coordination of 
CLARIN-EU.
Gmail:  [email protected]<mailto:%[email protected]>
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