[apologies for cross posting]
DeTermIt! Workshop @ LREC 2026
11 May 2026 (afternoon)
hybrid event (in-person + online)!
Second Workshop on Evaluating Text Difficulty in a Multilingual Context
Location: Palau de Congressos de Palma, Palma de Mallorca (Spain)
- Paper submissions: 23 February 2026
Submission link: https://softconf.com/lrec2026/DeTermIt2026/
***** Exciting NEWS *****
Best Student Paper Award: the best student paper (i.e., a paper whose first author is a PhD student or equivalent) will receive a free workshop registration for the corresponding (student) author.
Keynote: We’re delighted to announce Horacio Saggion (Department of Information and Communication Technologies, Universitat Pompeu Fabra) as our keynote speaker!
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Final Call for Papers
Schedule
- Paper submissions: 23 February 2026
- Notification of acceptance: 13 March 2026
- Camera-ready due: 30 March 2026
- Workshop: one of 11, 12, or 16 May 2026 (half-day)
All deadlines are 11:59PM UTC-12:00 AoE (“Anywhere on Earth”)
For more information, please visit:
Website: https://determit2026.dei.unipd.it/
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In today’s interconnected world, where information dissemination knows no linguistic bounds, it is crucial to ensure that knowledge is accessible to diverse audiences, regardless of language proficiency and domain expertise. Automatic Text Simplification (ATS) and text difficulty assessment are central to this goal, especially in the age of Large Language Models (LLMs) and Generative AI (GenAI), which increasingly mediate access to information.
The second edition of the DeTermIt! workshop focuses on the evaluation and modeling of text difficulty in multilingual, terminology-rich contexts, with a particular emphasis on the interaction between:
- text simplification,
- terminology and conceptual complexity, and
- LLM/GenAI-based generation and rewriting.
The 2026 edition builds on the first DeTermIt! workshop held at LREC-COLING 2024 (https://determit2024.dei.unipd.it/), as well as related initiatives such as the CLEF SimpleText track (https://simpletext-project.com/), which provides reusable data and benchmarks for scientific text summarization and simplification. DeTermIt! 2026 aims to bring together researchers and practitioners interested in terminology-aware simplification, lexical and conceptual difficulty, and evaluation protocols for GenAI systems.
We welcome contributions that address theoretical, methodological, and applied aspects of text difficulty, including resource creation and evaluation (e.g., corpora, datasets, and benchmarks), with a focus on how linguistic complexity, specialized terminology, and domain knowledge interact with human understanding. In particular, we encourage work that explores how LLMs and GenAI can be evaluated, constrained, or guided to produce readable, faithful, and accessible texts.
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Topics of Interest
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We invite submissions on (but not limited to) the following themes:
1. Theoretical and Modeling Perspectives
- Cognitive and linguistic models of text and lexical complexity.
- Multilingual readability and text difficulty prediction.
- Modeling conceptual difficulty and domain-specific terminology.
- Theoretical connections between lexicography, terminology, and text simplification.
2. Terminology and Conceptual Complexity
- Identification and classification of specialized terms and concepts.
- Estimation of term difficulty for lay readers and second language learners.
- Use of terminological databases, ontologies, and knowledge graphs in simplification pipelines.
- Methods for adapting domain-specific terminology for accessible communication (e.g., in medicine, law, technology).
3. Generative and Explainable AI for Text Simplification
- LLM- and GenAI-based approaches to text simplification and paraphrasing.
- Terminology-Augmented Generation (TAG) and term-preserving simplification.
- Evaluation of GenAI outputs: readability, factuality, terminology fidelity, and hallucination analysis.
- Readability-controlled or difficulty-controlled generation; controllable simplification.
- Human-centered and explainable approaches to text accessibility in GenAI systems.
4. Resources, Benchmarks, and Evaluation Frameworks
- Corpora, annotation schemes, and benchmarks for text difficulty and simplification.
- Datasets and methods for evaluating terminology-aware simplification and explanation.
- FAIR and reusable resources for multilingual text accessibility.
- Evaluation protocols and metrics for cross-lingual and cross-domain simplification and GenAI-based rewriting.
5. Applications and Case Studies
- Domain-specific simplification (e.g., healthcare, legal, scientific communication).
- Tools and systems for educational settings, language learning, or accessible communication.
- User studies, human evaluation setups, and mixed-method approaches to assessing text difficulty and GenAI-assisted simplification.
- Industrial and real-world experiences with integrating ATS and terminology into LLM-driven workflows.
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Submission Guidelines
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We invite original contributions, including research papers, case studies, negative results, and system demonstrations.
When submitting a paper through the START system of LREC 2026, authors will be asked to provide essential information about language resources (in a broad sense: data, tools, services, standards, evaluation packages, etc.) that have been used for the work described in the paper or are a new result of the research. ELRA strongly encourages all authors to share the resources described in their papers to support reproducibility and reusability.
Papers must be compliant with the stylesheet adopted for the LREC 2026 Proceedings (see https://lrec2026.info/authors-kit/).
The workshop proceedings will be published in the LREC 2026 workshop proceedings.
PAPER TYPES
We accept three types of submissions:
- Regular long papers – up to eight (8) pages of content, presenting substantial, original, completed, and unpublished work.
- Short papers – up to four (4) pages of content, describing smaller focused contributions, work in progress, negative results, or system demonstrations.
- Position papers – up to eight (8) pages of content, discussing key open challenges, methodological issues, and cross-disciplinary perspectives on text difficulty, terminology, and GenAI.
References do not count toward the page limits.
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Organizers
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Chairs
Giorgio Maria Di Nunzio, University of Padua, Italy
Federica Vezzani, University of Padua, Italy
Liana Ermakova, Université de Bretagne Occidentale, France
Hosein Azarbonyad, Elsevier, The Netherlands
Jaap Kamps, University of Amsterdam, The Netherlands
Scientific Committee
Florian Boudin - Nantes University, France
Lynne Bowker - University of Ottawa, Canada
Sara Carvalho - Universidade de Aveiro, Portugal
Rute Costa - Universidade NOVA de Lisboa, Portugal
Eric Gaussier - University Grenoble Alpes, France
Natalia Grabar - CNRS, France
Ana Ostroški Anić - Institute of Croatian Language and Linguistics, Croatia
Tatiana Passali - Aristotle University of Thessaloniki
Grigorios Tsoumakas - Aristotle University of Thessaloniki
Sara Vecchiato - University of Udine, Italy
Cornelia Wermuth - KU Leuven, Belgium
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Contact
#####################
For inquiries, please contact:
giorgiomaria.dinunzio(a)unipd.it <mailto:giorgiomaria.dinunzio@unipd.it>
Dialects in NLP: A Resource Perspective (DialRes-LREC26)
Workshop at LREC 2026 — Palma de Mallorca, Spain, May 16, 2026
Hybrid event — in person and online
Website: https://dialres.github.io/dialres/
Contact: dialres-lrec26(a)googlegroups.com<mailto:dialres-lrec26@googlegroups.com>
Dialectal and non-standard varieties pose persistent challenges for linguistic resource development. While in-depth study and large-scale resource creation for dominant or standard varieties have driven major advances in language technology, linguistic resources that adequately represent dialectal variation remain scarce. It therefore remains an open question whether standard-centric practices address dialectal variation or instead create new problems for dialects.
DialRes-LREC26 invites submissions on the creation, analysis, and evaluation of dialectal resources, including—but not limited to—work that critically examines how standard-centric methodologies impact dialects in the development of linguistic resources and models. We especially encourage contributions addressing the consequences of such practices for speech and morphosyntactic modelling, OCR of dialectal and historical texts, orthographic normalisation and homogenisation, annotation practices and lemmatisation strategies that abstract away or suppress dialectal forms, as well as analyses of how these choices affect dialects and their communities methodologically, economically, and socially.
The workshop focuses on problems, limitations, and trade-offs in developing dialectal resources from a linguistic perspective, while encouraging the creation and evaluation of resources in formats that enable reuse by the NLP community.
Workshop Topics
*
Development and evaluation of dialectal oral and textual resources
*
Orthographic normalisation and homogenisation, including their impact on dialectal variation
*
Dialects vs. standard language varieties in annotation frameworks
*
Cross-lingual and cross-dialectal transfer and model adaptation
*
Resource scalability issues and techniques
*
Use and limitations of large language models (LLMs) in dialectal resource development
*
OCR for dialectal, non-standard, and historical texts: challenges, errors, and downstream effects
*
Resources for, and applications supporting, dialect revitalisation and preservation
*
Dialectal studies and teaching from a resource-oriented perspective
*
Working on dialectal resources: academic, financial, legal, and societal issues
*
Enabling and empowering dialect communities to develop their own resources
Submission Information
Instructions for Authors Submissions are electronic, using the Softconf START conference management system via the link: https://softconf.com/lrec2026/DialRes. They must be 4 to 8 pages long (excluding references and potential Ethics Statements) and follow the LREC stylesheet, available on the conference website on the Author’s kit page Author’s Kit<https://lrec2026.info/authors-kit/>. All templates are also available from this<https://lrec2026.info/calls/second-call-for-papers/> page.
Invited Speaker
Prof. Barbara Plank, LMU Munich (https://bplank.github.io/)
Important Dates
*
20 February 2026 — Submission Deadline
*
11 March 2026 — Notification of Acceptance
*
28 March 2026 — Camera-ready Papers Due
Resubmissions from the LREC Main Conference
It will also be possible to submit papers that were rejected from the LREC 2026 main conference to DialRes 2026. Such submissions must be revised to fit the scope and format of the workshop and must comply with the same anonymization requirements.
Endorsements The workshop is endorsed by UniDive COST Action CA21167 and Archimedes Athena R.C.
Organizing Committee
*
Antonios Anastasopoulos — George Mason University / Archimedes–Athena RC
*
Stella Markantonatou — ILSP / Archimedes–Athena RC
*
Angela Ralli — University of Patras / Archimedes–Athena RC
*
Marcos Zampieri — George Mason University
*
Stavros Bompolas — Archimedes–Athena RC
*
Vivian Stamou — Archimedes–Athena RC
The newly founded Chair of Intelligent Language Systems at FAU
Erlangen–Nürnberg is seeking applications for fully funded PhD and
postdoctoral positions. The key research areas include reasoning,
interpretability, neuro-symbolic methods, memory and multilinguality. The
position offers a degree of research freedom, however the overall goal is
to advance LLM/VLMs for the long-tail of the distribution, i.e., unseen
languages, tasks or domains by developing novel ML/NLP/RL methods.
About the Lab
The lab is led by Gözde Gül Sahin <https://gglab-ku.github.io/>. We
regularly publish at top-tier *CL venues, and are also looking to extend to
top-tier ML venues. Our lab has been partially funded by
<https://www.tubitak.gov.tr/>Wikimedia Foundation
<https://wikimediafoundation.org/> via Wikimedia Research Fund
<https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Research_%26_Tech…>
, Google (Gemini) Academic Program
<https://ai.google.dev/gemini-api/docs/gemini-for-research> and Scientific
and Technological Research Council of Türkiye <https://www.tubitak.gov.tr/>
via International Fellowship for Outstanding Researchers program.
About FAU Erlangen-Nürnberg
FAU offers broad opportunities for interdisciplinary collaboration across
Informatik and beyond. There is strong potential for joint research with
other computer science chairs, for example in areas intersecting with speech
processing <https://lme.tf.fau.de/>, as well as, security, and reliable
systems <https://www.cs1.tf.fau.de/lab/>. Natural connections also exist
with the Humanities <https://www.phil.fau.eu/>, particularly linguistics
and digitally supported humanities research, as well as with
application-oriented fields such as medicine <https://www.med.fau.eu/>. The
chair is embedded in the vibrant Erlangen–Nuremberg research ecosystem,
with close proximity to major industrial and applied research actors such
as Siemens, adidas, and Fraunhofer IIS, providing an excellent environment
for collaborative, impact-oriented PhD and postdoctoral research.
Computational Resources
FAU Erlangen–Nürnberg HPC Center offers access to powerful, well-maintained
GPU clusters (https://doc.nhr.fau.de/clusters/overview/).
Your Profile
- For the postdoctoral position: PhD in computer science, computational
linguistics or a related field. For PhD position: Master of Science in
computer science, computational linguistics or a related field before the
PhD starting date
- Strong background in Natural Language Processing and Machine Learning
- Excellent programming skills
- Proficiency in English (German not required)
- Ability to work independently and as part of an interdisciplinary team
- Positive attitude, enjoyment of research, and finding new solutions
Application
Please email the following as a single pdf file to goezde.sahin [at] fau.de
- Cover letter, including your motivation for application (max. one page)
- A research statement outlining your research interests within the scope
of the advertised position. It should propose a concrete research agenda
you plan to develop during your PhD or PostDoc (up to two pages including
references).
- Curriculum vitae (including your publication list (if available))
- Bachelors and Masters diplomas
- Transcripts
- Name and contact details of 2 referees
Applications until *01.03.2026* will be given full consideration, however
the position will remain open until filled. Hence, feel free to inquire
even if the deadline has passed. The preferred starting date is 01.05.2026
(or soon after)
Salary
This is a fully funded E13 position (100%). An approximate salary can be
calculated using the following tool:
https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2025.
*** apologies for cross-posting ***
CALL FOR PAPERS
Ninth Workshop on Universal Dependencies (UDW 2026)
16 May 2026, Palma de Mallorca, Spain (co-located with LREC 2026)
https://universaldependencies.org/udw26/
Overview
Universal Dependencies (UD) is a framework for
cross-linguistically consistent treebank annotation that has so
far been applied to over 180 languages. The framework aims to
capture similarities as well as idiosyncrasies among
typologically different languages (e.g., morphologically rich
languages, pro-drop languages, and languages featuring clitic
doubling). The goal in developing UD was not only to support
comparative evaluation and cross-lingual learning but also to
facilitate multilingual natural language processing, enable
comparative linguistic studies, and provide resources for
language model understanding and evaluation.
The Universal Dependencies Workshop series was started to create
a forum for discussion of the theory and practice of UD, its use
in research and development, and its future goals and challenges.
Some of the previous workshops have been co-located with COLING,
EMNLP, and SyntaxFest. We invite papers on all topics relevant to
UD, including but not limited to:
* Theoretical foundations and universal guidelines
* Linguistic analysis of specific languages and/or constructions
* Language typology and linguistic universals
* Treebank annotation, conversion, and validation
* Word segmentation, morphological tagging and syntactic parsing
* Use of UD data for evaluating or understanding language models
* Linguistic studies based on the UD data
Priority will be given to papers that adopt a cross-lingual perspective.
Invited Speakers
* Marie-Catherine de Marneffe, UC Louvain
* Stephen Mayhew, Duolingo
Important Dates
Paper submission deadline: February 16, 2026
Notification of acceptance: March 16, 2026
Camera-ready version due: March 30, 2026
Workshop date: May 16, 2026
Submission Formats
We invite submissions in two formats:
* Regular (long) papers up to 8 pages of content (excluding
references and appendices). Regular papers should present
substantial, original, and unpublished research, including
empirical evaluation results where appropriate.
* Short papers up to 4 pages of content (excluding references
and appendices). Short papers may offer smaller, focused
contributions, such as work in progress, negative results,
surveys, or opinion pieces.
We also welcome non-archival papers, defined as work that has
already been published or accepted for publication at another
computational linguistics venue. These papers may be presented at
the workshop but will not appear in the LREC 2026 Workshop
Proceedings.
Accepted papers will be given one additional page to address
reviewer comments.
Paper Submission, Review Process and Selection Criteria
Submissions will be handled via the START Conference Manager.
* Submission link: https://softconf.com/lrec2026/UDW2026/
Papers should describe original work; they should emphasise
completed work rather than intended work, and should indicate
clearly the state of completion of the reported results.
Submissions will be judged on correctness, originality, technical
strength, significance and relevance to the conference, and
interest to the attendees.
All submissions should follow the two-column LREC style
guidelines. We strongly recommend the use of the LaTeX style
files, OpenDocument, or Microsoft Word templates created for
LREC: https://lrec2026.info/authors-kit/. Unlike LREC main
conference submissions, UDW submissions are allowed to include
appendices, and the UDW makes a distinction between short (up to
four pages) and long papers (up to eight pages). All papers must
be anonymous, i.e., not reveal author(s) on the title page or
through self-references. So, e.g., “We previously showed (Smith,
2020) …”, should be avoided. Instead, use citations such as
“Smith (2020) previously showed …”.
All papers will undergo a double-blind peer review process, with
final acceptance decisions made by the workshop chairs.
Submissions that violate the requirements above will be rejected
without review.
LRE-Map and Sharing Language Resources
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).
Presentation Format
Accepted papers will be presented as oral or poster
presentations. The mode of presentation will be determined by the
workshop chairs and does not reflect the quality of the
submission.
UDW 2026 will primarily be an in-person event, but online
participation will also be possible for the participants who
cannot travel to the conference.
Accepted papers will be published in the LREC 2026 Workshop Proceedings.
Website: https://universaldependencies.org/udw26/
Contact: udw26(a)googlegroups.com
Organizing Committee
* Çağrı Çöltekin, Tübingen University
* Kaja Dobrovoljc, University of Ljubljana & Jozef Stefan Institute
* Joakim Nivre, Uppsala University
Dear colleagues,
Please find below a link to the Survey of English Usage Annual Report for 2025:
https://www.ucl.ac.uk/arts-humanities/english/research/survey-english-usage…
All the best,
Bas
Prof. Bas Aarts
Department of English Language and Literature UCL
Substack: https://basaarts.substack.com/
Continuous Professional Development and INSET courses for teachers: https://bit.ly/39qnKIH
X: @UCLEnglishUsage and @EngliciousUCL
Note: I respect your work/life balance. If I send you an email outside of your normal working hours there is no expectation that you will read or respond to the message at that time.
Here, history happens.
[image.png]
The Information Disorder Workshop
Collocated with LREC 2026 in Palma de Mallorca, Spain
https://information-disorder-workshop.github.io/
* February 24: Paper submission
* March 17: Notification of acceptance
* March 30: Camera-ready submission
* May 12, 2026: InDor at LREC!
Online disinformation is a pressing challenge for our societies. Its role in influencing elections (Allcott & Gentzkow, 2017) and behaviours (van der Linden et al., 2020) has gathered the attention of different societal actors aimed at mitigating its negative impact.
The Natural Language Processing (NLP) community is contributing to fighting this phenomenon with a growing number of datasets (Hussain et al., 2025) and technologies (VeraAI, AskVera, Bellingcat) (Lupi et al., 2023; Wuhrl et al., 2023) for the automatic recognition of fake news. However, this field of research suffers from a lack of a common theoretical framework, which causes a fragmentation of approaches. The increasing attention of the NLP community to human-label variation (Plank, 2022) raises additional challenges regarding the cross-cultural and pragmatic implications that determine the spreading of disinformation (Dabbous et al., 2022).
The goal of the Information Disorder (InDor) workshop is to promote an interdisciplinary and intersectorial discussion towards the development of NLP research on disinformation.
Information Disorder is a recent framework introduced by Wardle and Derakhshan (2017) to organize theories, definitions, and approaches for the study of disinformation.
The framework is characterized by two main pillars: 1) acknowledging the need to categorize fake news under a finer-grained taxonomy of disorders (mis-information, dis-information, and mal-information); 2) exploring the role of the contextual factors that determine the spreading of fake news.
InDor aims to
Define a common theoretical ground for the research on disinformation in NLP and beyond
Discuss the cultural factors determining subjectivity to disinformation
Promote interdisciplinarity in the development of datasets and models
Discuss the impact of real-world applications to contrast disinformation
The InDor workshop (half-day duration) will be co-located with the fifteenth biennial Language Resources and Evaluation Conference (LREC) held at the Palau de Congressos de Palma in Palma de Mallorca, Spain, on 11-16 May 2026.
Submissions
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). In addition, authors will be required to adhere to ethical research policies on AI and may include an ethics statement in their papers.
The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of the LREC conference. Templates are provided here https://lrec2026.info/authors-kit/
We accept three types of submissions:
Regular research papers;
Non-archival submissions: like research papers, but will not be included in the proceedings;
(Non-archival) research communications: 1-page abstracts summarising relevant research published elsewhere.
InDor will also accept submissions that have been rejected from ACL rolling review, provided they are accompanied by their reviews, and they fit the topic of the workshop.
Research papers (archival or non-archival) may consist of up to 8 pages of content. Research communications may consist of up to 1 page of content. Please make the submission here: https://softconf.com/lrec2026/InDor26/
Topics
We invite original research papers specifically on the following topics, with a particular focus on resources, taxonomies, and benchmarks for the evaluation of NLP systems on Information Disorder:
new interdisciplinary theoretical proposals and foundational aspects
surveys on Information Disorder
multiculturality and multilinguality in datasets and technologies
interdisciplinary computational methods and frameworks
community- and user-centred approaches
real-world applications to contrast false information
experimental applications and projects for social good
evaluation of Information Disorder-focused systems
generative approaches to contrast false information
participatory approaches
positions on Information Disorder
Submissions are open to all and are to be submitted anonymously (and must conform to the instructions for double-blind review). All papers will be refereed through a double-blind peer review process by at least three reviewers, with final acceptance decisions made by the workshop organisers. Scientific papers will be evaluated based on relevance, significance of contribution, impact, technical quality, scholarship, and quality of presentation.
Attendance
At least one author of each accepted paper is required to participate in the conference and present the work, in-person or online.
Workshop organisers:
Simona Frenda, Heriot-Watt University
Marco Antonio Stranisci, University of Turin
Shaina Ashraf, Phillips University of Marburg
Ada Ren, Macquarie University
Ioannis Konstas, Heriot-Watt University
Usman Naseem, Macquarie University
Contact us at s.frenda(a)hw.ac.uk if you have any questions.
Website: https://information-disorder-workshop.github.io/
We'd like to invite you to participate in the following shared tasks at PAN
2026 held in conjunction with the CLEF conference in Jena, Germany.
1. Voight-Kampff Generative AI Detection.
Given a (potentially obfuscated) text, decide whether it was written by a
human or an AI.
https://pan.webis.de/clef26/pan26-web/generated-content-analysis.html
2. Text Watermarking.
Insert a watermark into a given text. Then, after we have attacked the
text, detect the inserted watermark.
https://pan.webis.de/clef26/pan26-web/text-watermarking.html
3. Multi-Author Writing Style Analysis.
Given a document, determine at which positions the author changes.
https://pan.webis.de/clef26/pan26-web/style-change-detection.html
4. Generative Plagiarism Detection.
Given a document and a collection of documents, your task is to identify
all sources in the collection that the document plagiarizes.
https://pan.webis.de/clef26/pan26-web/generated-plagiarism-detection.html
5. Reasoning Trajectory Detection.
Detect the source and safety of LLM-generated and human-written reasoning
trajectories.
https://pan.webis.de/clef26/pan26-web/reasoning-trajectory-detection.html
More information:
https://pan.webis.de/clef26/pan26-web/index.html
Important Dates
--------------------------
now Training Data Released
April 23, 2026: Registration closes
May 07, 2026: Software submission deadline
May 28, 2026: Participant paper submission
June 30, 2026: Peer review notification
July 06, 2026: Camera-ready participant papers submission
September 21-24, 2026: CLEF Conference
Links
--------------------------
PAN: https://pan.webis.de
Contact: pan(a)webis.de
We are looking forward to your submission!
The PAN team
11th Symposium on Corpus Approaches to Lexicogrammar (LxGr2026)
CALL FOR PAPERS
Deadline for abstract submission: 1 March 2026
The symposium will take place online on Thursday 2 and Friday 3 July 2026
Invited Speakers
Stefan Gries<https://www.stgries.info/> (University of California, Santa Barbara, USA)
Martin Hilpert<http://members.unine.ch/martin.hilpert> (University of Neuchâtel, Switzerland)
Serge Sharoff<https://ssharoff.github.io/> (University of Leeds, UK)
Organiser: Costas Gabrielatos<https://ehu.ac.uk/gabrielatos> (Edge Hill University)
LxGr primarily welcomes papers reporting on corpus-based research on any aspect of the interaction of lexis and grammar -- particularly studies that interrogate the system lexicogrammatically to get lexicogrammatical answers. However, position papers discussing theoretical or methodological issues, as well as descriptions or demonstrations of tools or resources are also welcome, as long as they are relevant to both lexicogrammar and corpus linguistics.
If you would like to present, send an abstract of 500 words (excluding references) to lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>.
* Abstracts for research papers should specify the research focus (research questions or hypotheses), the corpus, the methodology (techniques, metrics), the theoretical orientation, and the main findings.
* Abstracts for position papers should specify the theoretical orientation and the potential contribution to both lexicogrammar and corpus linguistics.
* Abstracts for tools or resources should provide a clear description of the main functions, and specify the potential contribution to both lexicogrammar and corpus linguistics.
Full papers will be allocated 35 minutes (including 10 minutes for discussion).
Work-in-progress reports will be allocated 20 minutes (including 5 minutes for discussion).
There will be no parallel sessions.
Participation is free.
For details, visit the LxGr website: https://sites.edgehill.ac.uk/lxgr
If you have any questions, please contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>.
________________________________
Edge Hill University<http://ehu.ac.uk/home/emailfooter>
Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter>
University of the Year, Educate North 2021/21
________________________________
This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>
Dear all,
We are looking to hire a PhD student for a term of three years at the
Chair for Fundamentals of Natural Language Processing
(https://www.uni-bamberg.de/en/nlproc/) at the University of Bamberg in
Germany, starting either May 1 2026 or as soon as possible thereafter.
The position will be part of the project "Relating Probabilities of
Words to Probabilities of Worlds (PoWPoW)", to be funded by the German
Research Foundation (DFG) as part of the Priority Programme
LaSTing (https://www.lasting-spp.org/). The project’s goal is to
investigate how LLMs represent and reason about probabilistic world
knowledge. Within this scope, the project will explore methods for
eliciting probability judgments from LLMs, test how well such judgments
agree with empirical probabilities, investigate the internal consistency
of related probability judgments, and compare LLMs’ probabilistic
reasoning to that of humans.
The full details can be found here:
https://www.uni-bamberg.de/fileadmin/abt-personal/Homepage_ab_2016-03/10_St…
Applicants should have:
* M.Sc. or comparable degree in Computer Science, Computational
Linguistics, or a related area.
* Experience working with NLP methods and LLMs.
* Strong grasp of probability theory – experience with graphical
models or formal logic a bonus.
* Good knowledge and practical experience with deep learning.
* Very good command of English; German knowledge is not essential.
* Ability to work in a team, excellent communication skills,
enthusiasm, and intrinsic motivation.
If you would like to apply, please send your application to Sean Papay
<sean.papay(a)uni-bamberg.de>. Your application should be a single .pdf
file, comprising a brief motivation letter, your CV, the contact details
of two references, and an academic writing sample -- for example, your
Master's Thesis or an academic paper previously written by you.
Best regards,
--Sean Papay
2nd CALL FOR PAPERS
Fourth International Workshop on Gender-Inclusive Translation Technologies (GITT) at EAMT 2026
15 June 2026, Tilburg, The Netherlands
https://sites.google.com/view/gitt2026/
@gitt-workshop.bsky.social
Important Dates (Time zone: Anywhere on Earth)
Submission deadline: 20 April, 2026
Notification of Acceptance: 13 May, 2026
Camera Ready Copy due: 20 May, 2026
Workshop: 15 June, 2026
**Aim and scope**
The Gender-Inclusive Translation Technologies Workshop (GITT) is set out to be the dedicated workshop that focuses on gender-inclusive language in translation and cross-lingual scenarios. The workshop aims to bring together researchers from diverse areas, including industry partners, MT practitioners, and language professionals. GITT aims to encourage multidisciplinary research that develops and interrogates both solutions and challenges for addressing bias and promoting gender inclusivity in MT and translation tools, including LMs applications for the translation task.
**Topics**
GITT invites technical as well as non-technical submissions, which consist of experimental, theoretical or methodological contributions. We explicitly welcome interdisciplinary submissions and submissions that focus on innovative, non-binary linguistic strategies and/or with sociolinguistically-informed perspectives. The topics of interest include, but are not limited to:
- Models or methods for assessing and mitigating gender bias
- New resources for inclusive language and gender translation (e.g., datasets, translation memories, dictionaries)
- Social, cross-lingual, and ethical implications of gender bias
- Qualitative and quantitative analyses on the potential limits of current approaches to gender bias in translation and MT, error taxonomies as well as best practices and guidelines
- User-centric case studies on the impact of biased language and/or mitigating approaches which can include translators, post-editors, or monolingual MT users
GITT is also open to other non-listed topics aligned with the scope of the workshop and works focusing on non-textual modalities (e.g., audiovisual translation)
**Submission**
We welcome four types of submissions, two archival and two non-archival.
ARCHIVAL
- Research papers: of at least 4 up to 10 pages (excluding references)
- Extended Abstracts: up to 2 pages (including references)
Accepted papers and extended abstracts consisting of novel work will be published online as proceedings in the ACL Anthology.
NON-ARCHIVAL
- Research Communications: up to 2 pages (including references).
We include a parallel submission policy in the form of Research Communications for papers related to the topic of GITT that were accepted in other venues in 2025 and 2026.
- Potluck Communications: short abstract up to 500 words (including references).
Potluck Communications offer a space for anyone—especially students and early career researchers—to discuss bold new ideas for collaboration, brainstorm about ongoing work, and explore future research directions.
The communications will not be included in the proceedings, but will serve to promote the dissemination of research aligned with the scope of the workshop.
All submissions should adhere to the EAMT 2026 guidelines and style templates (PDF, LaTeX, Word) and be uploaded on Easychair ( https://easychair.org/conferences?conf=eamt2026)
**Workshop organizers**
Manuel Lardelli, University of Padova
Janiça Hackenbuchner, University of Ghent
Luisa Bentivogli, Fondazione Bruno Kessler
Joke Daems, University of Ghent
Beatrice Savoldi, Fondazione Bruno Kessler
Eleni Gkovedarou, University of Ghent