NALPHIDA: Natural Language Processing for Digital Humanities Applications

in the framework of

26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

Timisoara, Romania 

September 16-19, 2024

Important Dates:

  • 30 June 2024 (AoE): Paper submission (Extended Deadline)
  • 15 July 2024: Notification of acceptance
  • 5 September 2024: Registration     
  • 5 September 2024: Revised papers according to reviews
  • 16-19 September 2024: Symposium


This special session seeks to explore the intersection of Natural Language Processing (NLP), Digital Humanities, and their diverse applications. NALPIDHA aims to showcase the latest advancements, innovative methodologies, and practical implementations of NLP algorithms in the context of Digital Humanities research. We invite submissions focusing on the development and application of NLP techniques, algorithms, and tools for addressing real-world challenges in Digital Humanities, enriching cultural heritage, and fostering interdisciplinary collaborations between computational linguistics and humanities research.

Paper Submission:

Authors are invited to submit original research papers of up to 8 pages, prepared according to the CPS template. Submissions must be made electronically through the designated submission system accessible via EasyChair. Research papers should present novel findings and must not have been submitted or published elsewhere. Additionally, authors interested in presenting work in progress or discussing new aspects or surveys of their previous research results are welcome to submit extended abstracts of up to 4 pages.

Submitted papers will undergo a rigorous peer-review process, with acceptance based on their scientific merit and relevance to the conference theme.

Authors are requested to adhere to the submission guidelines provided on the conference website. Submissions not following the specified format or exceeding the page limit may be rejected without review.

List of Topics:

  • Computational Linguistics Approaches to Humanities
  • Natural Language Processing for Text Mining and Information Retrieval in Digital Humanities
  • Computational Analysis of Literary Texts, Manuscripts, and Historical Documents
  • NLP Applications for Cultural Heritage Preservation and Digitization
  • Sentiment Analysis and Opinion Mining in Social and Historical Texts
  • Machine Translation and Multilingual NLP 
  • NLP for Digital Archives and Cultural Exchange
  • Dialogue Systems and Conversational Agents for Cultural Heritage Interpretation
  • NLP for Semantic Web and Knowledge Graphs in Humanities Research
  • Cross-Disciplinary Digital Humanities
  • Studies and applications at the intersection between corpus linguistics, computational linguistics, and Digital Humanities 
  • NLP for Education and Learning Technologies
  • Ethical and Fairness Issues in NLP Applications in Digital Humanities


Madalina Chitez, West University of Timișoara, Email: