May 2026 - Corpora - ELRA lists

Final CfP: Natural Language Processing, Text Mining and Applications (NPL-TeMA’26) Track of EPIA’26
by GAMALLO OTERO PABLO 13 May '26

13 May '26

Call-for-papers : Natural Language Processing, Text Mining and Applications (NPL-TeMA’26) Track of EPIA’26 NLN-TeMA’26 will be held at the 25th Portuguese Conference on Artificial Intelligence (EPIA 2026) taking place in Colégio dos Jesuítas do Funchal, Madeira, Portugal, from 2-4 September 2026. This track is organized under the auspices of the Portuguese Association for Artificial Intelligence (APPIA). EPIA 2026 . URL https://epia2026.web.uma.pt/ This announcement contains the following: [1] Track description; [2] Topics of interest; [3] Important dates; [4] Paper submission; [5] Track fees; [6] Organizing Committee; and [7] Contacts. [1] Track Description The Track on Natural Language, Text Mining and Applications (NLP-TeMA 2026) brings together researchers and practitioners working in Human Language Technologies, including Natural Language Processing (NLP), Computational Linguistics (CL), Natural Language Engineering (NLE), Text Mining (TM), Information Retrieval (IR), Large Language Model Research and Applications (LLMs), and related areas. As text remains the primary medium for creating and sharing knowledge, vast amounts of natural language data are generated daily across the Web and other digital platforms. This continuous growth presents significant opportunities—and challenges—for developing methods that can effectively understand, analyze, and extract value from textual information. Advances in NLP, Machine Learning, and Deep Learning have strengthened the role of language technologies in transforming semi-structured and unstructured data into actionable knowledge. NLP-TeMA 2026 welcomes contributions addressing both theoretical foundations and practical applications, fostering research that connects methodological innovation with real-world impact. Authors are invited to submit their papers on any of the issues identified in section [2]. Revision of the papers will be double-blind by the members of the Program Committee. All accepted papers will be published by Springer in a volume of Springer’s Lecture Notes in Artificial Intelligence (LNAI) corresponding to the proceedings of the 25th EPIA Conference on Artificial Intelligence, EPIA 2026. [2] Topics of Interest Theories, Algorithms and Models • Language and Cognitive Modeling • Tagging, Chunking and Parsing • Morphology and Word Segmentation • Natural Language Generation • Discourse and Pragmatics • Semantics and Text Inference • Language Resources: Acquisition and Lexical Knowledge • Textual Entailment and Paraphrase • Entity Recognition and Word Sense Disambiguation • Natural Language Understanding • Language Modeling • Mathematical Properties of Language • NLP for Low-Resource Languages Text Mining and NLP Applications • Text Clustering, Classification and Summarization • Sentiment Analysis and Argument Mining • Computational Social Science • Multi-Word Units • Machine Learning for NLP and Text Mining • Spatio-Temporal and Large-Scale Text Mining • Machine Translation and Cross-Lingual Approaches • Algorithms and Data Structures for Text Mining • Information Retrieval and Information Extraction • Question-Answering and Dialogue Systems • Text-Based Prediction and Forecasting • Web Content Annotation • Domain-Specific Text Mining Applications (Health, Biomedical, Legal, etc.) • Large Language Models: Architectures, Tokenization, Prompting and Adaptation • Offensive Speech Detection and Analysis [3] Important dates Abstract submission deadline: May 15, 2026 Paper submission deadline: May 29, 2026 (AoE) (strict deadline – no extensions will be granted) Notification of paper acceptance: Julyy 12, 2026 Camera-ready papers: July 25, 2026 (AoE) Conference dates: September 2-4, 2026 [4] Paper submission Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages, including references. All papers should be prepared according to the formatting instructions of Springer’s author guidelines. Authors should omit their names from the submitted papers and should take reasonable care to avoid indirectly disclosing their identity. References to own work may be included in the paper, as long as referred to in the third person. All papers should be submitted in PDF format through the conference management website at: https://easychair.org/conferences/?conf=epia2026 [5] Track Fees: Track participants must register at the main EPIA 2026 conference. [6] Organizing Committee: Joaquim Silva, jfs(a)fct.unl.pt, DI – FCT/UNL, Quinta da Torre, 2829-516 Caparica, Portugal; (+351) 910 211 766 (Contact person). Pablo Gamallo, Pablo.gamallo(a)usc.gal, Universidade de Santiago de Compostela, Praza do Obradoiro, 0, 15705 Santiago de Compostela, Spain; (+34) 881816426 . Alípio Jorge, amjorge(a)fc.up.pt, Dep. Ciência de Computadores, Fac. Ciências, Universidade do Porto; 351 220402 959 . [7] Contacts: Joaquim Francisco Ferreira da Silva, DI/FCT/UNL, Quinta da Torre, 2829‐516, Caparica, Portugal. Tel: (+351) 21 294 8536 (ext. 10732) / (+351) 910 211 766 ‐ Fax: (+351) 21 294 8541 ‐ E‐mail: jfs [at]fct [dot] unl [dot] pt

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Call for Papers: 3rd Workshop on Language Understanding in the Human-Machine Era (LUHME)
by Rui Sousa Silva 13 May '26

13 May '26

Call for Papers: 3rd Workshop on Language Understanding in the Human-Machine Era (LUHME) The LUHME 2026 workshop on Language Understanding in the Human-Machine Era is part of EMNLP - The 2026 Conference on Empirical Methods in Natural Language Processing (https://2026.emnlp.org) Workshop description LLMs have revolutionized the development of interactional artificial intelligence (AI) systems, due to their accessibility to the general public. Significant advances continue to be observed in fields and applications such as multimodal conversational agents, emotionally and socially aware dialogue, hyper-personalized and context-adaptive interaction, human–AI collaboration and symbiotic AI, multi-party and social conversation modelling, immersive and embodied conversational systems, and responsible, controllable, and domain-aware interaction. The use of these interactional AI systems is increasingly widespread, as these models have produced remarkable achievements in several benchmarks. State-of-the-art NLP systems achieve impressive performance, but remain prone to brittleness in language understanding (LU); they often lack robust modelling of communicative intentions, pragmatic inference, and context-sensitive meaning, which are central to many EMNLP tasks (dialogue, QA, safety, content moderation, etc.). This raises doubts about the extent to which such systems can really understand human language(s). The rapid deployment of LLMs raises urgent questions about interpretability, trust, and accountability of systems that produce linguistically plausible but potentially misleading outputs. In this scenario, this dedicated workshop provides a venue for cross-fertilisation between formal/theoretical work and applied NLP, in line with EMNLP’s focus on cutting-edge, high-impact research in NLP. The 3rd Language Understanding the Human-Machine Era workshop (LUHME 2026) focuses on how meaning is represented, inferred, and negotiated across human and machine environments, with particular emphasis on logic-aware, pragmatics-sensitive, and socially grounded approaches to LU in NLP. The workshop brings together researchers in (computational) linguistics, formal semantics/pragmatics, dialogue and discourse, cognitive science, and AI safety/ethics to discuss what it means for systems to understand language in situated, interactive contexts. Relevant topic areas Submissions are invited on (but not limited to): * Language understanding in LLMs * Language grounding * AI‑mediated communication in high‑stakes domains (law, health, finance, governance) * Psycholinguistic approaches to Language Understanding * Discourse, pragmatics and Language Understanding * Intent detection * Computational treatment of speech acts, dialogue, and communicative intentions in interaction * Conversation analysis, narrative progression, and argumentation * Turn‑taking, repair, and alignment in human–AI interaction * Evaluation of Language Understanding * Human vs. machine Language Understanding * Machine translation/interpreting and Language Understanding * Multimodality and Language Understanding * Socio-cultural aspects in Language Understanding * Effects and risks of language misunderstanding * Manifestations of language (mis)understanding * NLU and toxic content * Ethical issues in Language Understanding * Distributional semantics and Language Understanding * Linguistic theory and LU by machines * Linguistic, world, and commonsense knowledge in Language Understanding * Role of language professionals in the LLM era * Understanding language and explainable AI * Use of LLMs in generating, analysing or evaluating linguistic data Diversity and Inclusion We particularly encourage submissions from underrepresented groups from any demographic or geographic minority, with disability, or others. The LITHME network (the nest of this proposal) is inherently inclusive, as it involves members from all EU countries and promotes participation from linguistic minorities. The workshop expands these principles of inclusion, by bringing language and computer scientists to the discussion on computational approaches to LU. Paper Submission Prospective authors are invited to submit original, unpublished work to the LUHME workshop, covering one or more of the workshop topics. Submissions must not have substantial overlap in either contribution or text with work previously accepted for publication as a full paper in another archival forum. Papers at workshops without archival proceedings and preprints are accepted. At least one author of each accepted paper must register for the conference by the early registration deadline to present the paper at the workshop. This is a prerequisite for inclusion in the proceedings. Submission Instructions Papers must be written in English, be prepared for double-blind review using the ACL LaTeX template, and not exceed 8 pages. Authors are encouraged to include an ethics and/or a limitations section, which, together with references, does not count towards the page limit. Papers must be submitted via OpenReview. (https://openreview.net/group?id=EMNLP/2026/Workshop/LUHME) Proceedings As in previous editions of the LUHME workshop, we intend to publish accepted papers in the ACL Anthology. Proceedings of the First LUHME Workshop<https://aclanthology.org/volumes/2024.luhme-1/> Proceedings of the Second LUHME Workshop<https://aclanthology.org/volumes/2025.luhme-1/> Important dates 30 June 2026: Paper submission deadline 31 August 2026: Notification of acceptance 15 September 2026: Camera-ready papers October 2026: LUHME workshop Programme Committee TBA Workshop Organisers Rui Sousa-Silva (University of Porto, Portugal) Henrique Lopes Cardoso (University of Porto, Portugal) Maarit Koponen (University of Eastern Finland, Finland) Antonio Pareja-Lora (Universidad de Alcalá, Spain)

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CFP - DAAFRICA'2026 - CARI Workshop
by Mathieu ROCHE 13 May '26

13 May '26

CALL FOR SHORT PAPERS DAAFRICA'2026 - Workshop on Data Science and AI for Agriculture in Africa https://cari-conf.bj/calls/cari-workshops/daafrica-read-more Workshop supported by ASDS Event affiliated with CARI’2026 (https://cari-conf.bj/) October 21, 2026 Cotonou, Benin SCOPE Agriculture remains a cornerstone of Africa’s economy and livelihoods, yet the sector faces persistent challenges related to productivity, climate variability, market access, and food security. In response, the African Union Commission has developed a Digital Agriculture Strategy (DAS), adopted in February 2024, to foster universally accessible broadband and unlock the benefits of internet-based services for agriculture. The Inaugural African Union Conference on Digital Agriculture (December 2025, Addis Ababa) further emphasizes the need for innovation, climate-smart practices, and digital transformation to shape agricultural policy for Africa’s future. Data science has become a key enabler in this transformation. With the growing accessibility of data, farmers can now analyze information to facilitate decision-making. Emerging technologies such as the Internet of Things (IoT) enable the collection and storage of farm and environmental data (e.g., soil moisture, water levels, weather conditions) in dedicated databases or data warehouses. These agricultural datasets can be combined with other sources—remote sensing, weather stations, satellites, web platforms, and social media—to address new challenges, including the ingestion and integration of heterogeneous data. Data science in agriculture aims to explore and mine agricultural data using a range of techniques, including machine learning, deep learning, computer vision, text mining, and large language models (LLMs). By leveraging these tools, agricultural professionals and decision-makers can generate actionable insights and knowledge to guide agricultural activities across Africa. This aligns with the focus of many African initiatives on digital agriculture: deploying low-cost, equitable digital tools to collect, manage, and analyze reliable data for decision-making, risk management, and support for the agro-ecological transition. TOPICS OF INTEREST This workshop encompasses all aspects concerning the intersection of data science and IA for agriculture in Africa, including but not limited to: - Smart Farming - Yield and Production - Plant Species Identification - Land Cover Monitoring - Crop Recommendation - Crop Monitoring and Forecasting - Animal and Plant Health Monitoring - Agroecology and Water Management - Food Safety and Security - Nutrition and Health - Forests and Agroforests - Soil Preservation - Policy and Regulation SUBMISSIONS Researchers, academics, and students working on the field of data science with application in agriculture in Africa are invited to submit short papers for oral presentations or posters. Submitted abstracts must be in English and will be reviewed by the workshop committees for suitability and interest to the DAAfrica audience. The authors can submit papers of unpublished work reporting original and early results, introducing new ideas or describing prototypes. Every accepted submission must have at least one author registered for the workshop. All submitted extended abstracts must follow the LNCS format in latex (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) with a page limit of up to 6 pages including the title page, figures, references, and an optional appendix. The abstracts should be submitted electronically in PDF format via EasyChair via the following link: https://easychair.org/conferences/?conf=daafrica2026 Accepted extended abstract will be published as CEUR proceedings. IMPORTANT DATES - Submission deadline: June 26, 2026 - Notification to authors: July 15, 2026 - Camera-ready deadline: July 31, 2026 - Workshop: October 21, 2026 PARTICIPATION The workshop will be held in Cotonou, Benin, as an event affiliated to CARI’2026. This workshop will be a hybrid event that combines a “live” in-person event with a “virtual” online component. WORKSHOP CHAIRS - Paulin Melatagia, University of Yaoundé I, Cameroun - Mathieu Roche, CIRAD, UMR TETIS, France

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SHROOM-Visions shared task on hallucination detection in language and vision models
by Mickus, Timothee 13 May '26

13 May '26

TL;DR SHROOM-visions<https://helsinki-nlp.github.io/shroom/2026> is a shared task to advance model-agnostic evaluation of hallucination detection for Vision-and-Language Models (VLMs). Participate in detecting fine-grained hallucination spans across 4 languages (Chinese, English, French, Italian). Stay informed by joining our Google group<https://groups.google.com/g/shroom-visions/> or our Slack<https://join.slack.com/t/shroom-shared-task/shared_invite/zt-2mmn4i8h2-HvRB…>! Full Invitation We are excited to announce the SHROOM-visions shared task on vision-language hallucination detection (link to website<https://helsinki-nlp.github.io/shroom/2026>). We invite participants to detect and classify hallucination spans in a multilingual, multimodal context, using a dataset designed for enduring evaluation. About As new foundational models emerge monthly, how do we create hallucination evaluations that remain relevant? Current benchmarks are often tied to the idiosyncrasies of specific LLMs/VLMs, risking quick obsolescence. This shared task builds upon the *SHROOM <https://helsinki-nlp.github.io/shroom/> series of hallucination detection tasks and datasets, venturing into vision-language multilingual hallucination-span prediction. With this shared-task we aim to advance detection methods that generalize across model generations and focus on the core phenomenon of hallucination. We provide a dataset of 20,000 samples annotated with a fine-grained, span-level labeling scheme: * A train set of ~15,200 samples from 5 different LVLMs. * A closed test set of 4,800 crafted samples. * A submission platform<https://shroom.pythonanywhere.com/> to evaluate the performance of your systems. * Balanced coverage across 4 languages: Chinese, English, French, Italian. * Each sample annotated by 3 annotators using a four-class taxonomy: Invention, Mischaracterization, OCR Problem, Miscounting. Participants are invited to develop systems that accurately identify and classify hallucinated text spans in image-conditioned outputs. Participants will be invited to submit system description papers, with the option to present them at the UncertaiNLP workshop<https://uncertainlp.github.io/> (co-located with EMNLP 2026). All authors of paper submissions will be asked to review peers' submissions (max 2 papers per author). Key Dates: All deadlines are “anywhere on Earth” (23:59 UTC-12). * Train set available by: 10.05.2026 * Submission platform open by: 20.05.2026 * Evaluation phase ends: 31.07.2026 * System description papers due: 10.08.2026 (TBC) * Notification of acceptance: 10.09.2026 (TBC) * Camera-ready due: 20.09.2026 (TBC) * UncertaiNLP workshop: end of October 2026 (co-located with EMNLP) Evaluation Metrics: Participants’ models must be able to produce spans corresponding to hallucinations in the text, classified along five possible categories (invention, mischaracterization, OCR problems, miscounting, and other hallucinations). The evaluation will rely on two metrics, evaluating labelled and unlabelled performances separately. Rankings and submissions will be handled separately per language: you are welcome to focus on the languages of your choice! How to Participate: * Register: Please register your team before making a submission on https://shroom.pythonanywhere.com * Submit results: use our platform to submit your results before 31.07.2026 * Submit your system description: system description papers should be submitted by 10.08.2026 (TBC, further details will be announced at a later date). Want to be kept in the loop? Join our Google group mailing list<https://groups.google.com/g/shroom-visions/> or the shared task Slack<https://join.slack.com/t/shroom-shared-task/shared_invite/zt-2mmn4i8h2-HvRB…>! We are also open to hosting Q&A sessions for groups interested in participating, you just need to send us an email. We look forward to your participation and to the exciting research that will emerge from this task. Best regards, Raúl Vázquez and Timothee Mickus On behalf of ALL the SHROOM-Visions organizers

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The Paradigm Shift: From Rules to Models in Natural Language Processing
by Amal Haddad 13 May '26

13 May '26

The Paradigm Shift: From Rules to Models in Natural Language Processing International Summer School Alicante, Spain, 15, 16 and 17 June 2026 https://summer-school.gplsi.es Call for Participation See the summer school website for latest details including Preslav Nakov's recently confirmed keynote speech Natural Language Processing (NLP) has witnessed a clear paradigm shift: the transition from rule-based approaches to data-driven language models. While rule-based approaches dominated NLP for many years, during the 1990s and early 2000s they gradually gave way to statistical and machine-learning methods. It would be fair to say that data-driven models--and, most prominently, Deep Learning (DL), including more recently Large Language Models (LLMs)--have taken the world by storm. Deep Learning models are now used almost everywhere, across nearly every discipline, and Natural Language Processing is no exception. DL has proved highly promising so far, delivering improvements for almost every NLP task and application. However, as observed on numerous occasions, the outputs of DL models are not always ideal, with some studies reporting cases in which machine-learning approaches do not necessarily outperform the 'old-fashioned' rule-based ones. The overarching theme of the summer school will be this paradigm shift, with lectures and practical sessions reflecting the latest trends at both theoretical and practical levels. More specifically, the programme will combine lectures focusing on theoretical foundations with hands-on practical sessions. See the confirmed lectures below. The summer school will be ideal for both newcomers and experienced professionals in NLP, computer science, data science, cybersecurity, corpus linguistics, language technologies, and related disciplines, offering a unique opportunity to deepen expertise and engage with the rapidly evolving world of LLMs. Keynote speech: Roberto Navigli, 'Is Lexical Semantics Dead in the LLM Era?' We are delighted to announce Roberto Navigli (Sapienza University of Rome) as keynote speaker of the summer school who will deliver a keynote speech 'Is Lexical Semantics Dead in the LLM Era?' Keynote speech: Preslav Nakov, 'Towards Truly Open, Language-Specific, Safe, Factual, and Specialized Large Language Models We are equally delighted to announce Preslav Nakov (MBZUAI, Abu Dhabi) as a keynote speaker of the school summer as well. Summer school programme In addition to the above keynote speeches, the summer school programme will feature the following invited lectures: Special Invited lecture 'Quantum Natural Language Processing: Foundations, Challenges, and Insights' Ellena Lloret (University of Alicante) 'Explainable AI in Natural Language Processing' Salima Lamsiyah (University of Luxembourg) 'Quality Estimation for Machine Translation' Tharindu Ranasinghe (Lancaster University) 'Understanding Language Models' Hansi Hettiarachchi (Lancaster University) 'LLMs for low-resource languages' Robiert Sepúlveda Torres and Iván Martínez (University of Alicante) 'Fairness in Machine Learning: Evaluating Gender Bias in LLMs' Juan Pablo Consuegra-Ayala (University of Alicante) 'Gaze data for NLP research: recording methods and analysis' Cengiz Acarturk (Jagiellonian University) 'Beyond the Single Text: NLP Reading in Digital Humanities' Isuri Anuradha (Lancaster University) 'Automatic hyperparameter optimisation and model selection for NLP pipelines' Ernesto Luis Estevanell (University of Alicante) 'Legal NLP in the LLM era' Damith Premasiri (Lancaster University) 'Machine Translation for Low-Resource Languages' Alicia Picazo-Izquierdo (University of Alicante) 'Sentiment analysis: from rule-based methods to Large Language Models' Maram Alharbi (Lancaster University) Most lectures will include a practical component. Panel discussion A panel discussion 'The future of NLP methods and language models' is scheduled as part of the summer school (https://summer-school.gplsi.es/panel/). The panel will be hosted/moderated by Ruslan Mitkov (Lancaster University and University of Alicante) and will include contributions from Roberto Navigli (Sapienza University of Rome) Preslav Nakov (MBZUAI, Abu Dhabi) Elena Lloret (University of Alicante) Tharindu Ranasinghe (Lancaster University) Salima Lamsiyah (University of Luxembourg) Nasredine Semar (CEA) Yoan Gutiérrez Vázquez (University of Alicante) Gražina Korvel (Vilnius University) Venue, dates and accommodation The summer school will take place at the Research Institute of Informatics of the University of Alicante and will take place on 15, 16 and 17 June 2026. See the summer school website for recommended accommodation options (prospective participants are advised to book accommodation at their earliest convenience, as availability is limited) or more details in general. Summer School Directors Tharindu Ranasinghe (University of Lancaster) Salima Lamsiyah (University of Luxembourg) Summer School Chair Ruslan Mitkov (University of Alicante) Advisory Committee Manuel Palomar Sanz (University of Alicante) Rafael Muñoz Guillena (University of Alicante) Andrés Montoyo Guijarro (University of Alicante) Organising Committee Raúl García Cerdá (University of Alicante) Alicia Picazo Izquierdo (University of Alicante) Ernesto Luis Estevanell (University of Alicante) Maram Alharbi (Lancaster University) Iván Martínez Murillo (University of Alicante) Registration Registration can be completed at https://summer-school.gplsi.es/registration/. Kindly note that early-bird registration closes on 25 May 2026. Related events The summer school will follow the second international conference _Natural Language Processing and Artificial Intelligence_ (NLPAICS'2026) which will take place in Alicante on 11 and 12 June 2026 (https://nlpaics2026.gplsi.es). Those who register for both events will benefit from a discounted registration fee. Further information The summer school website is updated on regular basis. Alternatively, interested parties can email summer-school(a)dlsi.ua.es for more information.

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Reminder: One postdoc position in NLP/CL at University of Technology Nuremberg
by Michael Roth 12 May '26

12 May '26

Just a reminder of an upcoming application deadline. O:-) The Natural Language Understanding Lab at UTN in Nuremberg [1], Germany, invites applications for a full-time postdoctoral research position (A13/E13 on the German TV-L scale). The position is based in the Department Computer Science & Artificial Intelligence and will be available from 1 July 2026 for an initial period of three years. The position is part of an award-winning research group focusing on implicit and underspecified language, background knowledge in language understanding as well as biases in data, tasks and models. The successful applicant will have the opportunity to develop their own research agenda, support ongoing research and teaching in the group, and collaborate with other groups at the university, including colleagues from the Department Liberal Arts & Social Sciences. Applicants should have a completed PhD in Natural Language Processing or Computational Linguistics as well as a track record of publications in *ACL venues, with a particular interest in semantics and/or pragmatics. They should be able to work in a team and communicate in English (German proficiency is not required). Applications should include a motivation letter outlining a proposed research agenda, a CV, a list of publications, and contact information for one or two references. Please submit all materials _as a single PDF file_ to nlu(a)utn.de. Applications received by 15 May 2026 will receive full consideration, but the position will remain open until filled. Candidates who identify as female, trans* and/or non-binary are particularly encouraged to apply. Feel free to contact michael.roth(a)utn.de for any questions regarding the group or position! [1] https://www.utn.de/en/departments/department-computer-science-artificial-in… --- Prof. Michael Roth [he/him] Natural Language Understanding Lab University of Technology Nuremberg Technische Universität Nürnberg

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ConCorDial III (2026) – Call for Papers
by sascha.diwersy＠univ-montp3.fr 12 May '26

12 May '26

Dear colleagues, We are pleased to announce the third edition of ConCorDial, a conference dedicated to diachronic corpus linguistics, to be held on 12–13 November 2026 at the Université de Montpellier Paul-Valéry, Saint-Charles campus, Montpellier, France. The conference will be held in hybrid format (in-person attendance is preferred). The accepted languages of communication are French and English. THEME: Continuities, Innovations, Transitions — Linguistic and Methodological Challenges Building on the two previous editions (Grenoble 2022, Lyon 2024), ConCorDial III invites contributions on the construction, modelling, and exploration of diachronic textual data. The conference is organised around four thematic areas: 1. Corpus construction & interoperability (heterogeneity of sources, normalisation, metadata, diachronic variation) 2. Quantitative & qualitative diachronic analysis (corpus-based studies of lexical, (morpho-)syntactic, semantic or discursive phenomena) 3. Text genres in diachrony (emergence, disappearance and mutation of genres; modelling and classification) 4. LLMs & generative AI for historical text (tagging, segmentation, lemmatisation, normalisation, genre classification) Contributions may address any period in the history of French or other languages. SUBMISSION Abstracts of 300–500 words (excluding references) should be submitted in the language of the proposed presentation (French or English) via the conference website. Please submit both an anonymised version (pasted into the submission form) and an identified version (Word or PDF) including name(s) and affiliation(s). Submission site: https://concordial.sciencesconf.org KEY DATES Abstract submission deadline: 14 June 2026 Notification of acceptance: 12 July 2026 Final abstract version: 1 October 2026 Registration: 1 September – 15 October 2026 We look forward to welcoming you in Montpellier. The ConCorDial III organising committee Université de Montpellier Paul-Valéry https://concordial.sciencesconf.org/resource/page/id/1

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LxGr2026: Call for Participation
by Costas Gabrielatos 11 May '26

11 May '26

11th Symposium on Corpus Approaches to Lexicogrammar (LxGr2026) LxGr2026 will be held 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) Registration (free) is now open: https://sites.edgehill.ac.uk/lxgr The presentation abstracts are here: https://sites.edgehill.ac.uk/lxgr/lxgr2026-abstracts<https://sites.edgehill.ac.uk/lxgr/lxgr2026-abstracts/> If you have problems registering, or 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>

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Reminder: European Summer University in Digital Humanities 2026
by Elisabeth Burr 11 May '26

11 May '26

Dear all, Applications to the European Summer University in Digital Humanities "Culture and Technology" 2026 are open until*May 24 2026*. ESU DH will be held at the Université Marie et Louis Pasteur in Besançon, France, from July 6 to July 18. Submit your application via ConfTool <https://www.conftool.org/esudh2026/>. Please find more about the workshop offer and application process on our website <https://esudh.github.io/WorkshopsandLectures/>. Please note:we will be reviewing applications on a rolling basis, so if you need to arrange visa documents and organize your travel early, do submit your application early! ESU DH 2026 The Summer University offers an intense program of workshops, teaser sessions, public lectures, project presentations, a poster session, and a panel discussion. At the core of ESU are two-week workshops that run in parallel across the schedule. They are designed as comprehensive, intensive hands-on training in key areas of Digital Humanities. This year we offer 10 workshopsin the areas of: • Critical AI and Large Language Models • Distant Reading and Computational Text Analysis • Digital Archives, Cultural Heritage, and Data Curation • Phonology and Sound Analysis • Spatial Humanities and Mapping • Text Encoding and Digital Philology Building on the spirit of previous editions in Leipzig and Cluj, the ESU in Besançon aims to foster interdisciplinary collaboration between scholars and students in the Humanities, and to strengthen the community of practice established in past years. Scholarships The ESU is generously supported by our partners DARIAH, EADH, and CLARIN. Learn more about possible scholarships on our website <https://esudh.github.io/ScholarshipsandFunding/>, and stay tuned for more opportunities. Venue Besançon is a vibrant city of approximately 120,000 inhabitants and more than 25,000 students from around the world, with a long tradition of teaching French to non-native speakers. Following the two weeks of the ESU, we will offer participants the opportunity to attend two to four weeks of French language classes through our "French for DH" programme. For all relevant information, please visit our website, which will be continuously updated as new details become available. To get a sense of what to expect, we encourage you to explore the archive section. Should you have further questions, please write to esudh2026 [@] umlp.fr <http://umlp.fr> We look forward to welcoming you in Besançon. On behalf of Prof. Frederic Spagnoli, Head of the ESU 2026 Dr. Artjoms Šeļa Institute of Czech Literature, Сzech Academy of Sciences Website <https://artjomsh.github.io/web/> | Scholar <https://scholar.google.com/citations?user=4eYapmIAAAAJ&hl=en> |PoeTree <https://versologie.cz/poetree/>

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NLP4CALL 2026: 1st call for papers
by Arianna Masciolini 11 May '26

11 May '26

15th NLP4CALL in Gothenburg, Sweden ___________________________________ We are happy to announce the 15th edition of the NLP4CALL workshop on Natural Language Processing for Computer-Assisted Language Learning. This year, NLP4CALL will be a two-day in-person event that will take place in Gothenburg, Sweden on November 19-20, 2026. The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on integrating Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, the integration of insights from Second Language Acquisition (SLA) research, and the promotion of “Computational SLA” through setting up Second Language research infrastructures. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research — Intelligent CALL, or short, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop therefore invites a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data and modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field. We welcome papers: - that describe research directly aimed at ICALL; - that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application, or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback; - that discuss challenges and/or research agenda for ICALL; - that describe empirical studies on language learner data. Important dates _______________ - paper submission deadline: September 24, 2026 - notification of acceptance: October 15, 2026 - camera-ready deadline: October 29, 2026 - workshop: November 19-20, 2026 All deadlines are AoE. Organizers __________ - Arianna Masciolini, Språkbanken Text, University of Gothenburg, Sweden - David Alfter, Gothenburg Research Infrastructure in Digital Humanities (GRIDH), University of Gothenburg, Sweden - Herbert Lange, Språkbanken Text, University of Gothenburg, Sweden - Ricardo Muñoz Sánchez, Språkbanken Text, University of Gothenburg, Sweden - Ildikó Pilán, Norwegian Computing Center, Norway - Elena Volodina, Språkbanken Text, University of Gothenburg, Sweden Contact _______ For more information about the workshop, you are welcome to reach out to arianna.masciolini(a)gu.se. Funding _______ This workshop is jointly supported by: - Språkbanken – jointly funded by its 10 partner institutions and the Swedish Research Council (2025–2028; project id 2023-00161); - Huminfra; - the Department of Swedish, Multilingualism, Language Technology; - the IncluEdS project.

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