Humanist Discussion Group, Vol. 39, No. 268.
Department of Digital Humanities, University of Cologne
Hosted by DH-Cologne
www.dhhumanist.org
Submit to: humanist@dhhumanist.org
Date: 2025-12-15 09:50:40+00:00
From: Rachele Sprugnoli <sprugnolirachele@gmail.com>
Subject: CFP: LT4HALA 2026
CFP: LT4HALA 2026 - The Fourth Workshop on Language Technologies for Historical
and Ancient Languages
Website: https://circse.github.io/LT4HALA/2026/
Date: Monday, May 11 2026
Place: co-located with LREC 2026, May 11-16, Palma, Mallorca (Spain)
Submission page: TBA
DESCRIPTION
LT4HALA 2026 is a one-day workshop that seeks to bring together scholars who are
developing and/or are using Language Technologies (LTs) for historically
attested languages, so to foster cross-fertilization between the Computational
Linguistics community and the areas in the Humanities dealing with historical
linguistic data, e.g. historians, philologists, linguists, archaeologists and
literary scholars. LT4HALA 2026 follows LT4HALA 2020, 2022, 2024 that were
organized in the context of LREC 2020, LREC 2022 and LREC-COLING 2024,
respectively. Despite the current availability of large collections of digitized
texts written in historical languages, such interdisciplinary collaboration is
still hampered by the limited availability of annotated linguistic resources for
most of the historical languages. Creating such resources is a challenge and an
obligation for LTs, both to support historical linguistic research with the most
updated technologies and to preserve those precious linguistic data that
survived from past times.
Relevant topics for the workshop include, but are not limited to:
creation and annotation of linguistic resources (both lexical and textual);
the role of digital infrastructures, such as CLARIN <https://www.clarin.eu/>, in
supporting research based on language resources for historical and ancient
languages;
handling spelling variation;
detection and correction of OCR errors;
deciphering;
morphological/syntactic/semantic analysis of textual data;
adaptation of tools to address diachronic/diatopic/diastratic variation in
texts;
teaching ancient languages with LTs;
NLP-driven theoretical studies in historical linguistics;
NLP-driven analysis of literary ancient texts;
evaluation of LTs designed for historical and ancient languages;
LLMs for the automatic analysis of ancient texts.
SHARED TASKS
LT4HALA 2026 will also host:
the 4th edition of EvaLatin <https://circse.github.io/LT4HALA/2026/EvaLatin>, a
campaign entirely devoted to the evaluation of NLP tools for Latin. This new
edition will focus on two tasks: dependency parsing and Named Entity
Recognition. Dependency parsing will be based on the Universal Dependencies
framework.
the 5th edition of EvaHan <https://circse.github.io/LT4HALA/2026/EvaHan>, the
campaign for the evaluation of NLP tools for Ancient Chinese. EvaHan 2026 will
focus on Ancient Chinese OCR (Optical Character Recognition) Evaluation.
the 2nd edition of EvaCun <https://circse.github.io/LT4HALA/2026/EvaCun>, the
campaign for the evaluation of Ancient Cuneiform Languages, with shared tasks on
transliteration normalization, morphological analysis and lemmatization, Named
Entity Recognition of Akkadian and/or Sumerian.
SUBMISSIONS
Submissions should be 4 to 8 pages in length and follow the LREC stylesheet (see
below). The maximum number of pages excludes potential Ethics Statements and
discussion on Limitations, acknowledgements and references, as well as data and
code availability statements. Appendices or supplementary material are not
permitted during the initial submission phase, as papers should be self-
contained and reviewable on their own.
Papers must be of original, previously unpublished work. Papers must be
anonymized to support double-blind reviewing. Submissions thus must not include
authors’ names and affiliations. The submissions should also avoid links to non-
anonymized repositories: the code should be either submitted as supplementary
material in the final version of the paper, or as a link to an anonymized
repository (e.g., Anonymous GitHub or Anonym Share). Papers that do not conform
to these requirements will be rejected without review.
Submissions should follow the LREC stylesheet, which is available on the LREC
2026 website on the Author’s kit page <https://lrec2026.info/authors-kit/>.
Each paper will be reviewed by three independent reviewers.
Accepted papers will appear in the workshop proceedings, which include both oral
and poster papers in the same format. Determination of the presentation format
(oral vs. poster) is based solely on an assessment of the optimal method of
communication (more or less interactive), given the paper content.
As for the shared tasks, participants will be required to submit a technical
report for each task (with all the related sub-tasks) they took part in.
Technical reports will be included in the proceedings as short papers: the
maximum length is 4 pages (excluding references) and they should follow the LREC
2026 official format. Reports will receive a light review (we will check for the
correctness of the format, the exactness of results and ranking, and overall
exposition). All participants will have the possibility to present their results
at the workshop. Reports of the shared tasks are not anonymous.
WORKSHOP IMPORTANT DATES
17 February 2026: submissions due
13 March 2026: reviews due
16 March 2026: notifications to authors
27 March 2026: camera-ready due
Shared tasks deadlines are available in the specific web pages: EvaLatin
<https://circse.github.io/LT4HALA/2026/EvaLatin>, EvaHan
<https://circse.github.io/LT4HALA/2026/EvaHan>, EvaCun
<https://circse.github.io/LT4HALA/2026/EvaCun>.
Identify, Describe and Share your LRs!
When submitting a paper from the START page, authors will be asked to provide
essential information about resources (in a broad sense, i.e. also technologies,
standards, evaluation kits, etc.) that have been used for the work described in
the paper or are a new result of your research. Moreover, ELRA encourages all
LREC authors to share the described LRs (data, tools, services, etc.) to enable
their reuse and replicability of experiments (including evaluation ones).
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