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2nd CFP: ‘LAnguage TEchnologies for Low-resource Languages’ (LaTeLL ’2026)
by Amal Haddad 10 Dec '25

10 Dec '25

International Conference 'LAnguage TEchnologies for Low-resource Languages' (LaTeLL '2026) Fes, Morocco 30 September, 1 and 2 October 2026 www.latell.org/2026/ [1] Second Call for Papers The conference Natural Language Processing (NLP) has witnessed remarkable progress in recent years, largely driven by the emergence of deep learning architectures and, more recently, large language models (LLMs). Nevertheless, these advances have disproportionately benefited high-resource languages that possess abundant data for model training. By contrast, low-resource languages which account for at least 85% of the world's linguistic diversity and are often spoken by smaller or marginalised communities, have not yet reaped the full benefits of contemporary NLP technologies. This imbalance can be attributed to several interrelated factors, including the scarcity of high-quality training data, limited computational and financial resources, and insufficient community engagement in data collection and model development. Developing NLP applications for low-resource languages poses major challenges, particularly the need for large, well-annotated datasets, standardised tools, and robust linguistic resources. Although several workshops have previously addressed NLP for low-resource languages, _LaTeLL_ represents the first international conference dedicated specifically to the automatic processing of such languages. The event aims to provide a forum for researchers to present and discuss their latest work in NLP in general, and in the development and evaluation of language models for low-resource languages in particular. Conference topics We invite submissions on a broad range of themes concerning linguistic and computational studies focusing on low-resource languages, including but not limited to the following topics: Language resources for low-resource languages * Dataset creation and annotation * Evaluation methodologies and benchmarks for low-resource settings * Lexical resources, corpora, and linguistic databases * Crowdsourcing and community-driven data collection * Tools and frameworks for low-resource language processing Core language technologies for low-resource languages * Language modelling and pre-training for low-resource languages * Speech recognition, text-to-speech, and spoken language understanding * Phonology, morphology, word segmentation, and tokenisation * Syntax: tagging, chunking, and parsing * Semantics: lexical and sentence-level representation NLP Applications for low-resource languages * Information extraction and named entity recognition * Question answering systems * Dialogue and interactive systems * Summarisation * Machine translation * Sentiment analysis, stylistic analysis, and argument mining * Content moderation * Information retrieval and text mining Multimodality and Grounding for low-resource languages * Vision and language for low-resource contexts * Speech and text multimodal systems * Low-resource sign language processing Ethics, Equity, and Social Impact for low-resource languages * Bias and fairness in low-resource language technologies * Sociolinguistic considerations in technology development * Cultural appropriateness and sensitivity Human-Centred Approaches in low-resource languages * Usability and accessibility of low-resource language technologies * Educational applications and language learning * Community needs assessment and technology adoption * User experience research in low-resource contexts Multilinguality and Cross-Lingual Methods for low-resource languages * Multilingual language models and their adaptation * Code-switching and code-mixing * Cross-lingual transfer learning in low-resource languages. Special Theme Track 1 -- Building Applications Based on Large Language Models for Low-Resource Languages _LaTeLL'2026_ will feature a Special Theme Track dedicated to the development of applications based on Large Language Models (LLMs) for low-resource languages. This track aims to explore innovative methodologies, architectures, and tools that leverage the power of LLMs to enhance linguistic processing, accessibility, and inclusivity for underrepresented languages. Contributions are encouraged on topics such as model adaptation and fine-tuning, multilingual and cross-lingual transfer, ethical and fairness considerations, and the creation of datasets and benchmarks that facilitate the integration of LLM-based solutions in low-resource settings. Special Theme Track 2 -- Modern Standard Arabic (MSA) and Arabic Dialects This special track addresses the unique challenges and opportunities in processing Modern Standard Arabic (MSA) and the rich landscape of Arabic dialects. The diglossic nature of Arabic, where the formal MSA coexists with numerous, widely used spoken dialects, presents a significant hurdle for NLP. While MSA is relatively well-resourced, Arabic dialects are quintessential examples of low-resource languages, often lacking standardised orthographies, annotated corpora, and dedicated processing tools. This track invites submissions on novel research and resources aimed at bridging this gap and advancing the state of the art in Arabic language technology. Topics of interest include, but are not limited to: * Dialect identification and classification * Creation of corpora and lexical resources for Arabic dialects * Machine translation between MSA and dialects, and across different dialects * Speech recognition and synthesis for dialectal Arabic * Computational modelling of morphology, syntax, and semantics for dialects * NLP applications (e.g., sentiment analysis, NER) for dialectal user-generated content * Code-switching between Arabic dialects, MSA, and other languages Submissions and Publication _LaTeLL'2026_ welcomes high-quality submissions in English, which may take one of the following two forms: * Regular (long) papers:Up to eight (8) pages in length, presenting substantial, original, completed, and unpublished research. * Short (poster) papers:Up to four (4) pages in length, suitable for concise or focused contributions, ongoing research, negative results, system demonstrations, and similar work. Short papers will be presented during a dedicated poster session. The conference will not consider submissions consisting of abstracts only. All accepted papers (both long and short) will be published as electronic proceedings (with ISBN) and made available on the conference website at the time of the event. The organisers intend to submit the proceedings for inclusion in the ACL Anthology. Authors of papers receiving exceptionally positive reviews will be invited to prepare extended and substantially revised versions for submission to a leading journal in the field of Natural Language Processing (NLP). Further details regarding the submission process will be provided in the follow up Calls for Papers. The conference will also feature a Student Workshop, and awards will be presented to the authors of outstanding papers. Important dates * Submissions due: 1 May 2026 * Reviewing process: 20 May - 20 June 2026 * Notification of acceptance: 25 June 2026 * Camera-ready due: 10 July 2026 * Conference camera-ready proceedings ready 10 July 2026 * Conference: 30 September, 1 October and 2 October 2026 Organisation Conference Chair Ruslan Mitkov (Lancaster University and University of Alicante) Programme Committee Chairs Saad Ezzini (King Fahd University of Petroleum & Minerals) Salima Lamsiyah (University of Luxembourg) Tharindu Ranasinghe (Lancaster University) Organising Committee Maram Alharbi (Lancaster University) Salmane Chafik (Mohammed VI Polytechnic University) Ernesto Estevanell (University of Alicante) Further information and contact details The follow-up calls will provide more details on the conference venue and list keynote speakers and members of the programme committee once confirmed. The conference website is www.latell.org/2026/ [1] and will be updated on a regular basis. For further information, please email 2026(a)latell.org Registration will open in March 2026. -- Amal Haddad Haddad (She/her) Facultad de Traducción e Interpretación Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad Lexicon Research Group |http://lexicon.ugr.es/haddad Co-Convenor, BAAL SIG 'Humans, Machines, Language'|https://r.jyu.fi/humala Event Coordinator, BAAL SIG 'Language, Learning and Teaching' =============== Cláusula de Confidencialidad: "Este mensaje se dirige exclusivamente a su destinatario y puede contener información privilegiada o confidencial. Si no es Ud. el destinatario indicado, queda notificado de que la utilización, divulgación o copia sin autorización está prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, se ruega lo comunique inmediatamente por esta misma vía y proceda a su destrucción. This message is intended exclusively for its addressee and may contain information that is CONFIDENTIAL and protected by professional privilege. If you are not the intended recipient you are hereby notified that any dissemination, copy or disclosure of this communication is strictly prohibited by law. If this message has been received in error, please immediately notify us via e-mail and delete it" =============== Links: ------ [1] http://www.latell.org/2026/

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Two PhD positions at Leipzig University in Natural Language Processing/Computational Linguistics
by leonie.weissweiler＠lingfil.uu.se 10 Dec '25

10 Dec '25

There are two open PhD positions in Natural Language Processing available at the Institute for Computer Science at Leipzig University, in the group of Leonie Weissweiler. Potential research topics include but aren’t limited to: - Linguistic Interpretability - Multilingual Evaluation - Computational Typology Positions are fully funded for at least three years and will be affiliated with the ScaDS.AI graduate school. Ideal PhD candidates have a master's degree in computational linguistics, computer science or a related discipline. Positions: Full-time (TV-L E13) for 3 years Preferred start date: 1st of April 2026 More information: https://leonieweissweiler.github.io/phd_leipzig.pdf Application deadline: 15th of January 2026

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[CFP] 1st International Workshop on Quality in Large Language Models and Knowledge Graphs @EDBT/ICDT 2026
by Farah Benamara 10 Dec '25

10 Dec '25

----------------------------------------------------------------------------- Call for submissions 1st International Workshop on Quality in Large Language Models and Knowledge Graphs In conjunction with EDBT/ICDT 2026 QuaLLM-KG @ EDBT/ICDT 2026 24 March 2026, Tampere, Finland Website: https://quallmkg2026.github.io/ ----------------------------------------------------------------------------- **** Goal **** QuaLLM-KG aims to bring together researchers and practitioners working on quality issues at the intersection of large language models and knowledge graphs. The workshop focuses on theories, methods, and applications for assessing, improving, and monitoring the quality of LLMs and KGs. **** Important Dates **** - Submission deadline: January 15th, 2026 - Notification: February 8th, 2026 - Camera-ready: February 20th, 2026 **** Topics **** * Quality in Knowledge Graphs - Accuracy, consistency, completeness, freshness - Schema validation, constraint checking, error detection - Entity resolution, link prediction, ontology alignment - Provenance, explainability, trust in KG data - KG quality in dynamic and large-scale settings * Quality in Large Language Models - Hallucination reduction & factual grounding - Bias detection and mitigation - Metrics & benchmarks for quality assessment - Uncertainty estimation, calibration, interpretability * Synergies Between KGs and LLMs - KG-based grounding and fact-checking for LLMs - LLM-based KG enrichment, extraction, entity linking - Quality-driven prompting and fine-tuning - Hybrid KG–LLM architectures for quality assurance - Evaluation frameworks for integration and consistency * Benchmarks and Evaluation Frameworks - Datasets and metrics for KG & LLM quality - Tools for monitoring, validation, maintenance - Reproducibility, transparency, responsible AI * Applications and Case Studies - Scientific, industrial, enterprise use cases - Quality at scale - Human-in-the-loop quality control **** Submissions **** We invite submissions of full papers (up to 8 pages, excluding references) and short papers describing work in progress, systems, demos/systems/applications, or vision/innovative ideas (up to 4 pages, excluding references). Submissions should be in the CEUR-WS proceedings template. Accepted papers will be published in the CEUR Workshop proceedings (CEUR-WS.org). **** Workshop Organizers **** - Soror Sahri, Université Paris Cité, France - Sven Groppe, University of Lübeck, Germany - Farah Benamara, University of Toulouse, France & IPAL-CNRS, Singapore -- ======================== Farah Benamara Zitoune Professor in Computer Science, Université de Toulouse IRIT and IPAL-CNRS Singapore 118 Route de Narbonne, 31062, Toulouse. Tel : +33 5 61 55 77 06 http://www.irit.fr/~Farah.Benamara ==================================

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Edge Hill Corpus Research Group: Meeting #18
by Costas Gabrielatos 10 Dec '25

10 Dec '25

The next meeting of the Edge Hill Corpus Research Group will take place online (MS Teams) on Friday 19 December 2025, 2:00-3:30 pm (GMT<https://time.is/United_Kingdom>). Topic: Philosophies of Language and Corpus Linguistics Speaker: Alan Partington (SiBol Group / CoLiTec) Title: Language Distrusted, Language Ignored, Language Recovered: From Plato to Corpus Linguistics and Beyond The abstract and registration link are here: https://sites.edgehill.ac.uk/crg/next Attendance is free. Registration closes on Wednesday 17 December. If you have problems registering, or have any questions, please email the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@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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CFP: LT4HALA 2026 at LREC 2026
by Sprugnoli Rachele (rachele.sprugnoli) 10 Dec '25

10 Dec '25

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); * role of digital infrastructures, such as CLARIN, 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 2026 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). [http://static.unicatt.it/ext-portale/5xmille_firma_mail_2023.jpg] <https://www.unicatt.it/uc/5xmille>

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CFP: Collaborate on Annotation Schemas for Scientific Processes
by D'Souza, Jennifer 09 Dec '25

09 Dec '25

Dear colleagues, We are writing to invite your collaboration in a community-driven initiative to develop annotation schemas for scientific process descriptions in research articles. The effort is inspired by the spirit of schema.org <https://schema.org/> , but focuses specifically on capturing experimental and simulation workflows across scientific domains. The resulting schemas will be openly published as templates in the Open Research Knowledge Graph (ORKG, <https://orkg.org/> https://orkg.org/) and will form the basis of a paper planned for Nature Scientific Data <https://www.nature.com/sdata/> . Motivation Scientific papers describe complex processes-e.g., ALD and CVD in materials science, PCR and CRISPR in molecular biology, tensile and fatigue testing in engineering, leaching experiments in environmental science, RCTs and cognitive tasks in psychology-using highly variable narrative text. This variability makes it difficult to: * design consistent, interoperable annotation guidelines, * build cross-domain corpora of scientific methods, * compare and align experimental setups across papers, and * create FAIR, reusable metadata about how studies are actually carried out. Our goal is to define annotation schemas for these processes (inputs, conditions, outputs, roles, and relations) and to populate them from full-text articles. These schemas and resulting corpora are intended as shared resources for corpus linguistics, NLP, scientific text mining, and downstream applications. Why Collaborate We are seeking contributors who can: * provide collections of full-text articles (~50+) describing a specific experimental or simulation process in their field, * offer expert feedback on automatically mined process schemas, or * run the schema-miner workflow themselves (with our support) and help refine the resulting schema. Individual or small-team participation is welcome, and co-authorship opportunities are available depending on involvement. A wide variety of processes can be included-thin-film deposition, synthetic chemistry reactions, gene editing workflows, fatigue testing, soil leaching experiments, drug dissolution assays, fMRI tasks, cognitive experiments, and many more. A broader (non-exhaustive) list is here: <https://docs.google.com/document/d/1iyL1l9vCXhnQ0To7j79vlr-pW4JvPlQC95svygq RDfg/edit> https://docs.google.com/document/d/1iyL1l9vCXhnQ0To7j79vlr-pW4JvPlQC95svygqR Dfg/edit How to Participate Please register your interest using this short form: <https://forms.gle/9WEdouw4yMyNHcn19> https://forms.gle/9WEdouw4yMyNHcn19 We will notify selected contributors by January 31, 2026. Data collection and schema mining will conclude by April 30, 2026, followed by manuscript preparation. We hope members of this community will consider contributing to this effort to develop shared annotation schemas and corpora of scientific process descriptions-a step toward more comparable, analyzable, and reusable scientific text resources. Also please help us spread the word! Best regards, Jennifer D'Souza TIB - Leibniz Information Centre for Science and Technology (on behalf of the schema-miner coordination team)

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CfP DeTermIt! Workshop @ LREC 2026 - Evaluating Text Difficulty in a Multilingual Context
by Giorgio Maria Di Nunzio 09 Dec '25

09 Dec '25

[apologies for cross posting] DeTermIt! Workshop @ LREC 2026 Second Workshop on Evaluating Text Difficulty in a Multilingual Context Location: Palau de Congressos de Palma, Palma de Mallorca (Spain) ##################### First 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/ ##################### 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. ##################### Topics of Interest ##################### 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. ##################### Submission Guidelines ##################### 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. ##################### Organizers ##################### 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 NOVA de Lisboa / 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 ##################### Contact ##################### For inquiries, please contact: giorgiomaria.dinunzio(a)unipd.it <mailto:giorgiomaria.dinunzio@unipd.it>

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Substitute Senior Lecturer position in Computational Linguistics at Uppsala University
by Joakim Nivre 09 Dec '25

09 Dec '25

Uppsala University is hiring a Substitute Senior Lecturer in Computational Linguistics, half-time for one year starting in January 2026: https://www.uu.se/om-uu/jobba-hos-oss/lediga-jobb/jobbannons?query=883187 Duties include supervision of master’s theses and teaching within the international master’s program in Language Technology, as well as research. Application deadline: December 23, 2025. Joakim Nivre Professor of Computational Linguistics Uppsala University När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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New book series: Corpus Linguistics and Technology-Mediated Language Education in the AI Era
by PASCUAL FRANCISCO PEREZ PAREDES 09 Dec '25

09 Dec '25

New Book Series: Corpus Linguistics and Technology-Mediated Language Education in the AI Era, Applied Linguistics Press Corpus linguistics and technology-mediated language education in the AI era invites proposals for authored or edited volumes that advance trustworthy, reproducible work at the intersection of corpora, digital learning environments and AI-supported language pedagogy. The series encourages submissions that combine corpus design, annotation, analytics and AI-based learning ecosystems to improve educational decision-making with traceable, verifiable data. Topics of interest include corpus pedagogy and AI interfaces in education, multilingual and multimodal learning, accessibility, Datadriven learning (DDL), corpora and technology-mediated language education, Corpus-Based Language Pedagogy (CBLP), corpus-literacy, AI literacy, language data and AI, low-resource languages and corpus education, open datasets in corpus-based pedagogy, shareable code, AI risk evaluation, learner metacognition in corpus education and teacher/learner agency in CBLP and DDL. Corpus linguistics and technology-mediated language education in the AI era is open access and encourages global authorship. Proposals submitted to the series will undergo initial evaluation by the ALP General Editor and the series Co-Editors and will then be sent out for external peer review. Please send your proposals outlining aim(s), topics addressed, and how the volume fulfils the ALP mission to contribute to open science. To submit a proposal for this book series, download the proposal template HERE<https://docs.google.com/document/d/1KK57vC0-hwqHfd7ilaJC7zngLigXTFGO/edit?r…> <https://docs.google.com/document/d/1KK57vC0-hwqHfd7ilaJC7zngLigXTFGO/edit?r…> and return when completed to the series Editors via email (pascualf(a)um.es. and maqing(a)eduhk.hk) We welcome proposals for monographs and edited volumes. Series Editors: Pascual Pérez-Paredes (Universidad de Murcia) & Qing (Angel) Ma (The Education University of Hong Kong) Applied Linguistics Press<https://www.appliedlinguisticspress.org/home> is a scholar-led digital publisher promoting open science, fair practice, and wider access, offering monographs and collections with multimedia features, founded in 2023 by Prof Luke Plonsky and run by volunteers. Feel free to contact us if you’d like to discuss your idea. Pascual Pérez-Paredes https://webs.um.es/pascualf

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Call for Papers: Ninth Universal Dependencies Workshop
by cagri coltekin 08 Dec '25

08 Dec '25

Ninth Workshop on Universal Dependencies (UDW 2026) May 2026, Palma de Mallorca, Spain (co-located with LREC 2026) https://universaldependencies.org/udw26/ Universal Dependencies (UD, https://universaldependencies.org) 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. ## Important Dates - Paper submission deadline: February 16, 2026 - Notification of acceptance: March 16, 2026 - Camera-ready version due: March 30, 2026 - Conference dates: May 11-16, 2026 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. The submission link will be provided on the workshop website as soon as it becomes available. 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. Accepted papers will be published in the LREC 2026 Workshop Proceedings. ## Organizing committee Çağrı Çöltekin, Tübingen University Kaja Dobrovoljc, University of Ljubljana & Jozef Stefan Institute Joakim Nivre, Uppsala University

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