NLP4DH (Natural Language Processing for the Digital Humanities) is an interdisciplinary conference series that leverages advancing techniques in natural language processing to enhance research in the digital humanities, and vice versa. NLP4DH has been organized annually since its inception in 2021.

We are pleased to announce the 6th International Conference on Natural Language Processing for the Digital Humanities (NLP4DH 2026) will be co-located with ACL 2026. The conference will take place in San Diego, California, USA on July 6 (tent.), 2026.

The proceedings of the conference will be published in the ACL anthology. For more information, please see our homepage at: https://www.nlp4dh.com/nlp4dh-2026

Submission deadline: March 5, 2026.

*Topics of Interest.*
The focus of the conference 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 generation aspect:
- applying techniques from mechanistic interpretability for DH purposes
- generating or appraising human-written narratives with LLMs and other NLP systems
- assessing cultural bias in model output and behaviour, especially in a multilingual setting
- data provenance, including examining pre- and post-training sets
- NLP for cultural heritage collections and research connected to galleries, libraries, archives and museums
- OCR, including automatic error detection and cleaning of textual data

We will be additionally seeking works that critically inspect LLM training set characteristics, creatively adapt techniques from mechanistic interpretability for humanities purposes, and bolster NLP techniques with humanities-centric intuition. This includes topics such as:
- critical methods for interpreting LLM behaviour
- studies contextualizing NLP techniques, including LLMs, use in different social contexts
- humanities-inspired pre-training and post-training
- recovering useful latent structures from pre-trained LLMs
- philosophical considerations of NLP techniques, including LLMs

*Submission Details.*
We solicit original and unpublished work related to digital humanities and natural language processing (NLP4DH). Short papers can be up to 4 pages in length and long papers up to 8 pages. Both submission formats can have an unlimited number of pages for references. All submissions must follow the ACL stylesheet (Overleaf template). The submissions must be anonymous and they will be peer-reviewed by our program committee. The peer review is double blind.

Papers must be submitted using OpenReview by the submission deadline. At least one of the authors of an accepted paper must attend the event to present the paper. ACL 2026 is in charge of collecting registration fees.

We also accept papers already reviewed in the ACL Rolling Review (ARR) that have not been committed to another venue. A paper that already has reviews through ARR may not be submitted for direct review to NLP4DH, but must use the ARR submission track and provide the URL to the OpenReview forum of the ARR submission.

Accepted papers (short and long) will be published in the proceedings that will appear in the ACL Anthology. Accepted papers will also be given an additional page to address the reviewers’ comments. The length of a camera ready submission can then be 5 pages for a short paper and 9 for a long paper with an unlimited number of pages for references.

The authors of the accepted papers will be invited to submit an extended version of their paper to a special issue in the Journal of Data Mining & Digital Humanities.

*Important dates.*
All times are Anywhere on Earth (AoE):
- direct paper submission (long and short): March 5, 2026
- ARR commitment submission: March 24, 2026
- notification of acceptance: April 28, 2026
- camera ready deadline: May 12, 2026
- conference: July 6, 2026 (tent.)

*Contact.*
For questions, please email Sil Hamilton at srh255@cornell.edu.

*Conference Organizers.*
Sil Hamilton, Cornell University
Emily Öhman, Waseda University
Rebecca M. M. Hicke, Cornell University
Yuri Bizzoni, Aarhus University
Axel Bax, Cornell University
Jacob A. Matthews, Cornell University
Mika Hämäläinen, Metropolia University of Applied Sciences