March 2026 - Corpora

*FINAL* Call for Abstracts -- 2026 NARNiHS Research Incubator -- North American Research Network in Historical Sociolinguistics
by Lauersdorf, Mark R. 13 Mar '26

13 Mar '26

**FINAL** CALL FOR ABSTRACTS *** 2026 NARNiHS Research Incubator *** North American Research Network in Historical Sociolinguistics *** 8th edition *** 07-09 May 2026 -- entirely online! ==> Abstract Submission Deadline ==> 23 March 2026, 11:59 PM (U.S. Eastern Time) The 2026 NARNiHS Research Incubator is an entirely online event (**with free registration**). This event offers an opportunity for scholars in historical sociolinguistics from all over the world to participate in discussions of cutting-edge research without the limitations imposed by international travel. We encourage our fellow historical sociolinguists and scholars from related fields in our global scholarly community to join us online for our Research Incubator this spring. Abstract submission deadline: 23 March 2026, 11:59 PM (U.S. Eastern Time) Abstract submission online: https://easyabs.linguistlist.org/submit/2026_Incubator/ The North American Research Network in Historical Sociolinguistics (NARNiHS) is accepting abstracts for its 2026 NARNiHS Research Incubator. The 8th edition of this inclusive NARNiHS event seeks to provide a collaborative environment where presenters bring work that is in-progress, exploratory, proof-of-concept, prototyping. The Incubator's audience actively participates in workshopping these new ideas, brainstorming along with the presenters to forge scholarly paths and develop research solutions. We see the NARNiHS Research Incubator as a place for testing and pushing boundaries; developing new theories, methods, models, and tools in historical sociolinguistics; seeking feedback from peers; and engaging in productive assessment of fledgling ideas and nascent projects. NARNiHS welcomes papers in all areas of historical sociolinguistics, which is understood as the application/development of sociolinguistic theories, methods, and models for the study of historical language variation and change over time, or more broadly, the study of the interaction of language and society in historical periods and from historical perspectives. Thus, a wide range of linguistic areas, subdisciplines, and methodologies easily find their place within the field, and we encourage submission of abstracts that reflect this broad scope. Successful abstracts for this research incubator environment will demonstrate thorough grounding in historical sociolinguistics, scientific rigor in the formulation of research questions, and promise for rich discussion of ideas. Abstracts should be explicit about which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued. Data sources and examples should be sufficiently (if briefly) presented, so as to allow reviewers a full understanding of the scope and claims of the research. Please note that the connection of your research to the field of historical sociolinguistics should be explicitly outlined in your abstract. Abstracts should not exceed one page (not including examples and references, see below). Failure to adhere to these criteria will likely result in rejection. We are soliciting abstracts for 25-minute presentations. Presenters will have the entire 25 minutes for their presentations, with discussion happening in the "incubation session" at the end of each panel. Presentations will be grouped into thematic panels of three presentations, each panel followed by an hour-long discussion with the audience led by specialists, creating a brainstorming/workshopping environment that encourages maximum exchange of ideas. Discussion will encompass specific feedback on the individual papers as well as consideration of overarching questions of theory, methods, and models emerging from the papers. To facilitate such discussion, authors will be required to submit a draft of their presentation materials for distribution to the panel discussants and to the other presenters a few days prior to the start of the conference. Abstracts will be accepted until Monday, 23 March 2026 -- late abstracts will not be considered. *** Abstract Content Requirements: 1) Abstracts should be explicit about which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued. 2) Data sources and examples should be sufficiently (if briefly) presented, so as to allow reviewers a full understanding of the scope and claims of the research. 3) The connection of your research to the field of historical sociolinguistics should be explicitly outlined. *** Abstract Format Guidelines: 1) Abstracts must be submitted in PDF format. 2) Abstracts must fit on one standard 8.5×11 inch or A4 page, with margins no smaller than 1 inch / 2.5 cm and a font style and size no smaller than Times New Roman 12-point. All additional content (visualizations, trees, tables, figures, captions, examples, and references) must fit on a single (1) additional page. No exceptions to these requirements are allowed; abstracts exceeding these limits will be rejected without review. 3) Anonymize your abstract. We realize that sometimes complete anonymity is not attainable, but there is a difference between the nature of the research creating an inability to anonymize and careless non-anonymizing (in citations, references, file names, etc.). Be sure to anonymize your PDF file (you may do so in Adobe Acrobat Reader by clicking on "File", then "Properties", removing your name if it appears in the "Author" line of the "Description" tab, and re-saving the file before submission). Do not use your name when saving your PDF (e.g. Smith_Abstract.pdf); file names will not be automatically anonymized by the EasyAbs system. Rather, use non-identifying information in your file name (e.g. HistSoc4Lyfe.pdf). Your name should only appear in the online form accompanying your abstract submission. Papers that are not sufficiently anonymized wherever possible will be rejected without review. *** General Conference Requirements: 1) Abstracts must be submitted electronically, using the following link: https://easyabs.linguistlist.org/submit/2026_Incubator/ 2) Papers must be delivered as projected in the abstract or represent bona fide developments of the same research. 3) Authors are expected to virtually attend the conference and present their own papers. 4) Presentations will be delivered via Zoom. Technical details and instructions regarding the platform will be sent to authors in due time. Please contact us at NARNiHistSoc(a)gmail.com with any questions.

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CFP: 47th Translating and the Computer Conference (TC47)
by Amal Haddad 12 Mar '26

12 Mar '26

Call for Presentations and papers 47th Translating and the Computer Conference (TC47) Luxembourg, 8 to 10 December 2026 https://asling.org/tc47/ AI-assisted or AI-eclipsed? Language services between promise and pressure AsLing invites submissions for the 47th edition of the Translating and the Computer Conference (TC47), to be held from 8 to 10 December 2026 in Luxembourg. The TC conference series brings together professionals, researchers, developers and decision-makers from the language industry, academia and public institutions. TC47 will explore how technological innovation - particularly AI - is reshaping multilingual communication, raising new questions about human agency, professional ethics, and sustainable practices in the language services sector. Conference theme _AI-assisted or AI-eclipsed? Language Services between Promise and Pressure_ _ _ From Machine Translation and LLMs applied to translation, language professionals face unprecedented change. TC47 invites reflection on how to navigate this evolving landscape - to ensure that technology empowers rather than eclipses, and that multilingual communication remains inclusive, trusted and professionally grounded. We especially welcome contributions exploring: * Synergy between human expertise and AI-powered tools * The role of AI in promoting or undermining inclusion and equity * Strategies for sustainable and ethical language services * Cross-sector collaboration between academia, industry, and institutions Submissions not focused on AI are equally welcome, particularly those addressing broader trends in multilingual communication, training, translation workflows, and evolving professional practices. We also welcome critical reviews and discussions on: * The broader impact of AI and automation on the language industry * Implications for training, education and career development of language professionals * Coexistence of AI and traditional practices * Impact of AI on language professionals * Adoption barriers and risks for LSPs new to AI * Future trends in translation, interpreting, and localisation - with or without AI * Responsible and sustainable development in language technologies (environmental, social, professional) Key areas of interest Include, but are not limited to: * Multilingual NLP and large language models * Human-in-control systems vs. human-in-the-loop AI * Terminology management and controlled language * AI readiness and digital transformation in LSPs * NLP, semantic technologies and linked data * Collaborative translation tools and environments * Quality assurance, benchmarking and evaluation * Training, professional development and digital upskilling * Inclusive and culturally aware AI systems * Sustainable practices across the language lifecycle * Language policy and digital language equality * FAIR data, corpora and infrastructure * Ethical implications and human oversight * Empowering language professionals to shape - not just use - AI tools * Non-AI innovations and evolutions in translation, interpreting, localisation or terminology work We invite: * Innovative research: studies that expand the boundaries of language technologies, multilingual NLP, or AI ethics. * Practical applications: case studies from public or private sector stakeholders showcasing language technology use and development. * Workshops and panels: interactive formats encouraging dialogue on timely, challenging or divisive issues in AI and language work. * Critical reflections: well-argued contributions questioning current uses of AI and proposing alternative, human-centred approaches. * Posters and short talks: snapshots of emerging projects, tools, or preliminary research. Submission tracks All submissions are for talks, within the following categories: * Research track (Academic) * 20-minute talk * Followed by a paper (max. 5,000 words) presenting original, unpublished research * User experience track (Non-academic) * 20-minute talk * Optional post-facto paper (max. 5,000 words) detailing workflows, tools or implementation cases * Posters / Short talks * 7-8-minute talk * Followed by a paper (max. 2,000 words) outlining a project, experiment, or tool * Workshops and panels * Interactive sessions with multiple speakers * Moderators may submit an optional post-facto paper summarising key takeaways Submission instructions Submissions must be made via the START conference submission system: https://www.softconf.com/p/tc2026 [1] Important dates * Deadline for research/user experience talks: 30 June 2026 ➤ Notification of acceptance: 31 August 2026 * Deadline for workshops and panels: 31 July 2026 ➤ Notification of acceptance: 15 September 2026 * Deadline for posters and short talks: 15 September 2026 ➤ Notification of acceptance: 30 September 2026 * Final paper submission (except post facto workshop and panel papers): 31 October 2026 * Conference dates: 8-10 December 2026 Submission guidelines Detailed submission guidelines, including templates and formatting instructions, will be available on the TC47 conference website. We look forward to your contributions that will help shape the future of language services through innovation, collaboration, and inclusivity. Why submit to TC47? TC47 offers a unique opportunity to engage in a multi-stakeholder dialogue that bridges research, practice and policy. It is a space for shared reflection on what language professionals need, what tools actually deliver and how we co-create a future where humans and AI work better together. For any questions, reporting of problems concerning submissions or the Conference at least, please email tc47-info(a)asling.org. Let's explore, challenge and shape the future of multilingual communication together! -- 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] https://www.softconf.com/p/tc2026/

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Call for Chapters- Data-Driven Language Teaching and Learning: Theory, Research, and Practice (Springer)
by Cansu Akan 12 Mar '26

12 Mar '26

Dear colleagues, We are pleased to announce an upcoming edited volume on "Data-Driven Language Teaching and Learning: Theory, Research, and Practice", to be published by Springer. With this email, we warmly invite chapter proposals from researchers, teacher educators, curriculum designers, and practitioners working across corpus linguistics, applied linguistics, language education, and educational technology. TOPIC OVERVIEW Data-Driven Learning (DDL), first introduced by Tim Johns (1991) as a method of classroom concordancing, has evolved considerably over the past three decades. Despite a substantial body of empirical evidence supporting corpus-based approaches for raising learner awareness, developing language autonomy, and supporting inductive learning, a persistent gap remains between research-based insights and everyday instructional decision-making. This volume addresses this gap directly. Through empirically grounded contributions, it demonstrates how data can be used to support instructional design, materials development, classroom interaction, and assessment -- enabling more informed and transparent pedagogical choices without requiring advanced technical expertise. By adopting a cross-contextual and language-independent perspective, the volume identifies transferable principles applicable across a wide range of teaching settings. We invite chapter proposals addressing topics including, but not limited to: - Corpus-based and data-driven approaches to language teaching, learning, and assessment - Data-informed instructional design and materials development - Classroom applications of DDL across educational levels and language learning contexts - Learner engagement with corpus tools and concordancing tasks - AI-assisted feedback, adaptive learning platforms, and intelligent tutoring systems in DDL contexts - Learner corpus research and its implications for pedagogy - Teacher education and professional development through data-informed practice - Digital tools, corpus technologies, and blended or online learning environments - Challenges and affordances of implementing DDL in multilingual or under-resourced settings - Theoretical and methodological frameworks for data-driven language pedagogy - Cross-contextual and comparative studies of data-informed teaching HOW TO CONTRIBUTE The volume operates a two-stage submission process. Stage 1 - Abstract Submission Prospective contributors are invited to submit an abstract of 400-600 words by 1 May 2026. Abstracts should include: - Title and full names and institutional affiliations of all contributors - A clear statement of the chapter’s focus, argument, research questions, and main contribution - The theoretical and/or empirical approach to be employed - The educational context, data, or corpus under investigation (if applicable) - The chapter’s relevance to the volume’s overarching themes - A short bibliography of key references (not counted in the word limit) Stage 2 - Full Chapter Submission Authors of accepted abstracts will be invited to submit full chapters of 7,000-9,000 words (including references) by October 2026. All full chapters will undergo double-blind peer review. Authors will receive detailed reviewer feedback and will be asked to revise and resubmit accordingly. IMPORTANT DATES Abstract submission deadline: 1 May 2026 Notification of outcome: Within three weeks of deadline Full chapter deadline: October 2026 Please submit your abstract by email to the corresponding editor, using the subject line: Chapter Proposal - Data-Driven Language Teaching and Learning. For questions related to the volume’s scope, submission guidelines, or any other matter, please do not hesitate to contact the editors. We look forward to receiving your proposals! Mehrdad Vasheghani Farahani (Corresponding Editor) submittingpapers(a)yahoo.com Cansu Akan Chemnitz University of Technology, Germany cansu.akan(a)phil.tu-chemnitz.de Sepideh Javdani Esfahani Chemnitz University of Technology, Germany sepideh.javdani-esfahani(a)phil.tu-chemnitz.de

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CFP: MIRROR@IberLEF2026: Platform online
by Luis Villaseñor-Pineda 12 Mar '26

12 Mar '26

<Apologies for cross-postings> -------------------------------------- *CALL FOR PARTICIPATION * -------------------------------------- MIRROR@IberLEF20206: Motivational Interviewing Response & Rating via Synthetic cOnversational tuRns Challenge platform now online: https://www.mirror-iberlef.lat/dashboard Just register, log in, and start making submissions. ------------------------------- ****Task description**** ------------------------------- We invite the community to develop Generative AI (GenAI) methods for creating synthetic conversation turns that can substantially improve the performance of models trained to recognize behavior codes (BCs) in the context of motivational interviews. A BC is a discrete, observable clinician action (e.g., asking a question, giving information) that is counted during coding of a motivational interviewing session to quantify specific techniques used. These codes allow raters to tally how often particular clinician behaviours occur, which helps assess adherence to MI-consistent versus MI-inconsistent practice. Our ultimate goal is to generate valuable data for training models for the automatic assessment of clinicians’ motivational-interviewing skills. These skills — crucial for promoting behavior change among patients — can be evaluated by using the “Motivational Interviewing Treatment Integrity (MITI)” rubric (https://tinyurl.com/38byjrwy). ** *This is a data-centric competition: *participants are expected to produce high-quality datasets representing a wide range of clinical conversations (rather than training a model) to enhance the performance of a frozen baseline model used for BC classification. We encourage participants to include samples featuring clients from diverse backgrounds, varied conversation topics, and conversing with different types of health professionals. Participants in this competition should provide three datasets (one per pair of considered BCs) of at most 100 labeled conversation turns that will be used to fine-tune pretrained models; the fine-tuned models will then be used to make predictions for a hold-out dataset. The performance of the fine-tuned model will be used as the leading evaluation metric to rank participants. The considered pairs of BCs are: (1) Simple reflection vs. Complex reflection; (2) Open question vs. Closed question; (3) Persuasion vs. Giving Information. Sample submissions, and detailed instructions on the formatting, evaluation criteria and competition platform will be available at the MIRROR website. ------------------------------- ****Important dates**** ------------------------------- * Mar 9th: Start of the development phase (platform starts receiving submissions for the validation set) * May 1st: Start of the final phase (platform starts receiving submissions for the test set) * May 11th: End of evaluation campaign (deadline for submission of runs) * May 22nd; Publication of official results * Jun 8th: Deadline for paper submission * Jun 23th: Acceptance notification * Jun 30th: Camera-ready submission deadline * Sep, TBD: Publication of proceedings * Sep, TBD: Workshop with SEPLN 2026 ------------------------------- ****Organizing team**** ------------------------------- * Luis J. Arellano INAOE, Mexico * Carlos Olachea INAOE, Mexico * John Piette, University of Michigan, USA * Hugo Jair Escalante, INAOE, Mexico * Delia Irazú Hernández, INAOE, Mexico * Luis Villaseñor, INAOE, Mexico * Manuel Montes, INAOE, Mexico Contact: Hugo Jair Escalante (hugo.jair(a)gmail.com) ------------------------------------------------------------------------ ********* AVISO DE CONFIDENCIALIDAD: Este correo electrónico, incluyendo en su caso, los archivos adjuntos al mismo pueden contener información de carácter confidencial y/o privilegiada, y se envían a la atención única y exclusivamente de la persona y/o entidad a quien va dirigido. La copia, revisión, uso, revelación y/o distribución de dicha información confidencial sin la autorización por escrito del Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) está prohibida. Si usted no es el destinatario a quien se dirige el presente correo, favor de contactar al remitente respondiendo al presente correo y eliminar el correo original incluyendo sus archivos, así como cualquiera copia de este. Mediante la recepción del presente correo usted reconoce y acepta que en caso de incumplimiento de su parte y/o de sus representantes a los términos antes mencionados, este Centro Público de Investigación tendrá el derecho de reclamar los daños y perjuicios que dicha vulneración le cause; asimismo se hace de su conocimiento que el Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) está obligado a salvaguardar los datos personales que le sean proporcionados por terceros, en los términos de la Ley General de Protección de Datos Personales en Posesión de Sujetos Obligados. AVISO DE PRIVACIDAD, En cumplimiento con la Ley General de Protección de Datos Personales en Posesión de Sujetos Obligados, al recibir datos de carácter personal a través de este medio, se entiende el consentimiento expreso del titular de los datos personales para utilizarlos en actividades propias del Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE). Para mayor información, lo invitamos a consultar el Aviso de Privacidad en nuestro portal: https://www.inaoep.mx

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Second call for papers: ESSLLI 2026 Workshop on Referring expression choice in grounded contexts: Linguistic, cognitive, and computational aspects
by Gemma Boleda 12 Mar '26

12 Mar '26

Second call for papers: CORE Project Workshop @ESSLLI 2026 Referring expression choice in grounded contexts: Linguistic, cognitive, and computational aspects ESSLLI 2026 Workshop 3-7 August 2026, Prague, Czech Republic Abstract submission deadline: March 31, 2026 Workshop URL: https://www.upf.edu/web/glif/esslli2026-workshop ESSLLI 2026 URL: https://2026.esslli.eu Workshop description: When we refer to entities and events in our environment, particularly (but not only) when visual information is present, we have choices. Depending on what has been said before, who or what else is in a scene, and the characteristics of what we want to refer to, we might say (among many other options) "the person running", "the runner", "the woman in the red shirt", "the one with the glasses", or "them over there". The extent of this variation in referring expression (RE) choice has become evident in recent large-scale datasets (Monroe et al. 2017, Silberer et al. 2020, He et al. 2023). Some of the factors influencing some kinds of choices in RE use have been amply studied – for example, between full noun phrases and shorter expressions involving demonstratives or pronouns (Ariel 1990, Gundel et al. 1993 and much later work), or between noun phrases with and without modification (e.g., Degen et al. 2020, Rubio-Fernandez and Jara-Ettinger 2020, and literature cited there). Others have received less attention – these include choices among noun phrases that reflect different levels of taxonomic granularity ("dog" vs. "husky", Graf et al. 2016, Kobrock et al. 2024, Liang and Liao 2024), choices arising from the cross-classifiability of referents (woman vs. runner, Mädebach et al. 2022, Gualdoni et al. 2023), choices based on salience or contrast (Clarke et al. 2013, Rubio-Fernández 2024, Bolea et al. to appear) or options for referring to individuals based on what they are doing or the scenes they appear in ("person running" vs. "runner", Tagliaferri et al. 2023), sometimes with the goal of producing particular sorts of causal inferences (Sasaki et al. 2025). The goals of this workshop are 1) to further document and gain insight into the range of this variation; 2) to highlight its relevance for semantic/pragmatic theory, for theories of language and cognition, and for the use of language in computation; and 3) to promote communication and synergies between researchers at the interfaces of linguistics, cognitive science, and computation who have studied different aspects of referring expression choice in grounded contexts. We welcome contributions on the following and other related questions: - Cognitive biases that influence tendencies in RE choice in grounded contexts. - The role of contrast in RE choice. - The role of the specific available linguistic alternatives and alternative-based reasoning in influencing RE choice. - The information load a referring expression has to bear given extralinguistic sources of information in the context, especially visual information. - Lexical/constructional effects and association strength between RE options and the referent in question. - RE variability and language change Invited speakers: Raffaella Bernardi (Bolzano) Laia Mayol (UPF) Denis Paperno (Utrecht) Submission guidelines: Abstracts should be at most two pages in 12pt font (plus up to one extra page for data and references). Since we want to promote participation and discussion and no proceedings will be published, workshop submissions are not limited to unpublished work. We welcome proposals for both long (30 min. + discussion) and short (15 min. + discussion) presentations. We also plan to devote one day to a poster session accompanied by lightening talks. Please indicate on your abstract which type(s) of participation you are interested in. Submission deadline: March 31, 2026. Submission is through Open Review at: https://openreview.net/group?id=ESSLLI.eu/2026/Workshop/CORE Contact email: louise.mcnally(a)upf.edu Important dates: Deadline for abstract submission: March 31, 2026 Notification of acceptance: April 30, 2026 Workshop dates: August 3-7, 2026

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Fully funded 3 year PhD/Postdoc positions on Linguistically Motivated Language Models (LMLM)
by Rob van der Goot 12 Mar '26

12 Mar '26

Dear Corpora list, I am looking for applicants for two fully funded PhD/postdoc positions for 3 years starting ~September 2026. Project description: LMLM proposes to build Linguistically Motivated Language Models (LMs). This involves adapting both the training regime and the LM architecture to incorporate different linguistic levels. The hypothesis is that this will lead to mitigation of shortcut learning and, in turn, more reliable LMs. The project will start on the lower levels, investigating how internal structures of words can be used in LMs, followed by words and the syntax level. There will be a strong focus on evaluation, incorporating both standard metrics and benchmarks as well as linguistically oriented and compositionality benchmarks. The successful candidate(s) will be part of the NLPnorth research group in the Data Science section of ITU, and are also encouraged to become affiliated with the AI Pioneer center. They will be supervised by me and a co-supervisor which is selected on a per-candidate basis. LMLM is funded by Carlsberg (https://www.carlsbergfondet.dk/en/what-we-have-funded/cf25-1861/). More information is available on: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… , and feel free to contact me with any questions. Best, Rob (https://robvanderg.github.io/)

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TSD 2026 - 1st Call for Papers
by TSD 2026 12 Mar '26

12 Mar '26

[Apologies for cross-postings] ********************************************************* TSD 2026 - FIRST CALL FOR PAPERS ********************************************************* Twenty-ninth International Conference on TEXT, SPEECH and DIALOGUE (TSD 2026) Brno, Czech Republic, 1-4 September 2026 http://www.tsdconference.org/ The conference is organized by the Faculty of Informatics, Masaryk University, Brno, and the Faculty of Applied Sciences, University of West Bohemia, Pilsen. The conference is supported by International Speech Communication Association. Venue: Brno, Czech Republic THE SUBMISSION DEADLINES: April 10 2026 ............ Submission of abstracts April 17 2026 ............ Submission of full papers Submission of abstracts serves for better organization of the review process only - for the actual review a full paper submission is necessary. TSD SERIES TSD series evolved as a prime forum for interaction between researchers in both spoken and written language processing from all over the world. Proceedings of TSD form a book published by Springer-Verlag in their Lecture Notes in Artificial Intelligence (LNAI) series. TSD Proceedings are regularly indexed by Thomson Reuters Conference Proceedings Citation Index/Web of Science. Moreover, LNAI series are listed in all major citation databases such as DBLP, SCOPUS, EI, INSPEC or COMPENDEX. CALL for SATELLITE WORKSHOP PROPOSALS https://www.tsdconference.org/tsd2026/conf_workshop_proposals.html The TSD 2026 conference will be accompanied by one-day satellite workshops or project meetings with organizational support by the TSD organizing committee. The organizing committee can arrange for a meeting room at the conference venue and prepare a workshop proceedings as a book with ISBN by a local publisher. The workshop papers that will pass also the standard TSD review process will appear in the Springer proceedings. Each workshop is a subject to proposal that should be sent via the proposal submission form or discussed via the contact e-mail tsd2026(a)tsdconference.org ahead of the respective deadline. TOPICS Topics of the conference will include (but are not limited to): Corpora and Language Resources (monolingual, multilingual, text and spoken corpora, large web corpora, large language models, disambiguation, specialized lexicons, dictionaries) Speech Recognition (multilingual, continuous, emotional speech, handicapped speaker, out-of-vocabulary words, alternative way of feature extraction, new models for acoustic and language modelling) Tagging, Classification and Parsing of Text and Speech (morphological and syntactic analysis, synthesis and disambiguation, multilingual processing, sentiment analysis, credibility analysis, automatic text labeling, summarization, authorship attribution) Speech and Spoken Language Generation (multilingual, high fidelity speech synthesis, computer singing) Semantic Processing of Text and Speech (information extraction, information retrieval, data mining, semantic web, knowledge representation, inference, ontologies, sense disambiguation, plagiarism detection, fake news detection) Integrating Applications of Text and Speech Processing (machine translation, natural language understanding, question-answering strategies, assistive technologies) Automatic Dialogue Systems (self-learning, multilingual, question-answering systems, dialogue strategies, prosody in dialogues) Multimodal Techniques and Modelling (video processing, facial animation, visual speech synthesis, user modelling, emotions and personality modelling) Papers on processing of languages other than English are strongly encouraged. PROGRAM COMMITTEE Elmar Noeth, Germany (general chair) Rodrigo Agerri, Spain Tomas Arias-Vergara, Germany Vladimir Benko, Slovakia Archna Bhatia, USA Jan Cernocky, Czech Republic Simon Dobrisek, Slovenia Kamil Ekstein, Czech Republic Karina Evgrafova, Russia Yevhen Fedorov, Ukraine Volker Fischer, Germany Darja Fiser, Slovenia Lucie Flek, Germany Bjorn Gamback, Norway Radovan Garabik, Slovakia Alexander Gelbukh, Mexico Louise Guthrie, USA Jan Hajic, Czech Republic Eva Hajicova, Czech Republic Yannis Haralambous, France Hynek Hermansky, USA Daniel Hládek, Slovakia Ales Horak, Czech Republic Eduard Hovy, USA Milos Jakubicek, Czech Republic Maria Khokhlova, Russia Aidar Khusainov, Russia Daniil Kocharov, Russia Miloslav Konopik, Czech Republic Valia Kordoni, Germany Evgeny Kotelnikov, Russia Pavel Kral, Czech Republic Siegfried Kunzmann, USA Oier Lopez de Lacalle, Spain Nikola Ljubesic, Croatia Natalija Loukachevitch, Russia Bernardo Magnini, Italy David Mareček, Czech Republic Jindrich Matousek, Czech Republic Vaclav Matousek, Czech Republic Roman Moucek, Czech Republic Daša Munková, Slovakia Agnieszka Mykowiecka, Poland Hermann Ney, Germany Joakim Nivre, Sweden Juan Rafael Orozco-Arroyave, Colombia Paula Andrea Perez-toro, Germany Maciej Piasecki, Poland Josef Psutka, Czech Republic James Pustejovsky, USA German Rigau, Spain Paolo Rosso, Spain Leon Rothkrantz, The Netherlands Anna Rumshisky, USA Milan Rusko, Slovakia Pavel Rychly, Czechia Mykola Sazhok, Ukraine Pavel Skrelin, Russia Petr Sojka, Czech Republic Ján Staš, Slovakia Georg Stemmer, Germany Marko Robnik Sikonja, Slovenia Marko Tadic, Croatia Jan Trmal, Czechia Tamas Varadi, Hungary Zygmunt Vetulani, Poland Aleksander Wawer, Poland Alina Wroblewska, Poland Jerneja Zganec Gros, Slovenia FORMAT OF THE CONFERENCE The conference program will include presentation of invited papers, oral presentations, and poster/demonstration sessions. Papers will be presented in plenary or topic oriented sessions. Social events including a trip in the vicinity of Brno will allow for additional informal interactions. SUBMISSION OF PAPERS Authors are invited to submit a full paper not exceeding 12 pages formatted in the LNCS style (including references). Those accepted will be presented either orally or as posters. The decision about the presentation format will be based on the recommendation of the reviewers. The authors are asked to submit their papers using the on-line form accessible from the conference website. Papers submitted to TSD 2026 must not be under review by any other conference or publication during the TSD review cycle, and must not be previously published or accepted for publication elsewhere. Authors are also invited to present actual projects, developed software or interesting material relevant to the topics of the conference. The presenters of demonstrations should provide an abstract not exceeding one page. The demonstration abstracts will not appear in the conference proceedings. IMPORTANT DATES April 10 2026 ............ Submission of abstracts April 17 2026 ............ Submission of full papers June 5 2026 .............. Notification of acceptance June 15 2026 ............. Final papers (camera ready) and registration August 8 2026 ............ Submission of demonstration abstracts August 15 2026 ........... Notification of acceptance for demonstrations sent to the authors September 1-4 2026 ....... Conference date Submission of abstracts serves for better organization of the review process only - for the actual review a full paper submission is necessary. The accepted conference contributions will be published in Springer proceedings that will be made available to participants at the time of the conference. OFFICIAL LANGUAGE The official language of the conference is English. ACCOMMODATION The organizing committee will arrange discounts on accommodation in the 4-star hotel at the conference venue. The current prices of the accommodation will be available at the conference website. ADDRESS All correspondence regarding the conference should be addressed to Ales Horak, TSD 2026 Faculty of Informatics, Masaryk University Botanicka 68a, 602 00 Brno, Czech Republic phone: +420-5-49 49 18 63 fax: +420-5-49 49 18 20 email: tsd2026(a)tsdconference.org The official TSD 2026 homepage is: http://www.tsdconference.org/tsd2026 LOCATION Brno is the second largest city in the Czech Republic with a population of almost 400.000 and is the country's judiciary and trade-fair center. Brno is the capital of South Moravia, which is located in the south-east part of the Czech Republic and is known for a wide range of cultural, natural, and technical sights. South Moravia is a traditional wine region. Brno had been a Royal City since 1347 and with its six universities it forms a cultural center of the region. Brno can be reached easily by direct flights from London and Milano, and by trains or buses from Vienna (150 km) or Prague (230 km).

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[CFP] CV4Edu EXTENDED SUBMISSION DEADLINE: March 16, 2026 (Workshop on Computer Vision × Education (CV4Edu 2026) @ CVPR 2026)
by Janis Pagel 12 Mar '26

12 Mar '26

[Apologies for cross-postings] CALL FOR PAPERS CV4Edu: Computer Vision × Education: building a cross-community agenda for multimodal vision in classrooms In conjunction with CVPR 2026, June 3 or 4, Denver, CO, US. Website: https://cv4edu.github.io/ Computer vision (CV) plays a central role in multimodal human-centered AI, yet most models are trained on web-scale benchmarks that poorly reflect real classrooms. Educational data are noisy, private, small-scale, and multimodal (e.g., video, audio, text). Students’ cognitive/behavioral states (e.g., engagement, mind-wandering) and learning processes (e.g., self-regulation, collaboration) can be inferred from subtle multimodal cues (e.g., gaze, pose, facial features). Still, today’s models struggle to generalize to classroom data, limiting reliability in deployed human-centered applications (e.g., assistive technology, collaborative AI). CV4Edu brings together computer vision, natural language processing, human-computer interaction, and educational researchers to chart a community agenda for efficient, privacy-aware multimodal data-driven models that are more reliable in low-resource, real-world classroom settings — potentially launching shared datasets, metrics, and unified practices. Our goal is to support research that bridges CV, NLP, HCI, cognitive science, and the learning sciences/education communities. We welcome submissions both within and beyond education contexts—such as multimodal modeling, sensing, behavior forecasting, cognitive state inference, robotics, and embodied AI—provided they discuss transferability to classroom settings (e.g., what may break or carry over under noise, occlusions, viewpoints, multi-person dynamics, privacy constraints, limited annotations, distribution shift, hardware variability). *********************************** TOPICS The workshop topics include (but are not limited to): Multimodal classroom perception - Face, gaze, pose, gesture, posture, affect, and prosody - Video, audio, gaze sensors, and wearables (egocentric and exocentric) - Multimodal fusion, representation learning, and cross-view / multi-camera setups Language-centered multimodal learning analytics - Linking speech/text to video events, gaze/attention, and instructional context - Classroom NLP: ASR robustness, diarization, evaluating and mitigating bias, discourse modeling, dialogue/tutoring interactions, simplification, misconception detection - Retrieval-augmented classroom analytics, model adaptation, evaluation for learning-aligned outcomes Robustness & generalization - Domain shift beyond the lab, occlusions, noisy data, and missing modalities - Few-/low-shot learning, continual and on-device adaptation - Generalization across classroom layouts and populations Human behavior modeling for learning - Engagement, attention, affect, confusion, self-regulation, and metacognition - Collaboration, group dynamics, and teacher–student interactions - Gaze-informed models, saliency/scanpath prediction, activity recognition Temporal modeling & intervention - Sequential/temporal models of learning processes - Behavioral forecasting, early-warning systems, and interventions - Real-time inference, feedback, and human-in-the-loop systems Interpretability, reliability & evaluation - Interpretable models, uncertainty estimation, and calibration - OOD detection, fairness, and bias analysis - Evaluation protocols aligned with learning outcomes Privacy-aware, datasets & deployments - Privacy-preserving data collection, anonymization, de-identification, and governance - Annotation strategies, construct-aligned labeling, active learning, synthetic data, and dataset curation - Classroom-ready systems, scalable multimodal data-collection frameworks, edge/on-device inference, and real-world deployments **We encourage general computer-vision, visually grounded NLP, and human-centered, collaborative AI submissions (e.g., behavioral modeling, pose/activity recognition, gaze estimation, attention modeling, multimodal learning, methods “in the wild”, cognitive state inference and forecasting) that make a clear connection to educational/learning environments (even if primarily in the discussion).** *********************************** SUBMISSIONS The workshop invites submissions presenting original research, emerging ideas, datasets and benchmarks, systems, applications, and position papers advancing methods for real-world educational settings. We welcome both archival and non-archival contributions. All submissions must follow the CVPR 2026 paper template and official style guidelines (https://cvpr.thecvf.com/Conferences/2026/AuthorGuidelines). Archival Track (Full Papers) Papers submitted to the Archival Track must present original, unpublished work and will be considered for inclusion in the official CVPR 2026 workshop proceedings. The main text must be 6–8 pages in length and formatted according to the CVPR 2026 submission guidelines (https://cvpr.thecvf.com/Conferences/2026/CallForPapers). References and appendices are not subject to a page limit. Non-Archival Track (Extended Abstracts + Short / Position Papers) We invite non-archival submissions describing ongoing/early-stage work (e.g., preliminary results, datasets or benchmarks in progress, negative results, lessons learned), position papers, and work previously published elsewhere (including papers on arXiv or at other venues). Our goal is to foster discussion and community building. These submissions will not be included in the official proceedings. Extended abstracts may be up to 2 pages and short/position papers up to 4 pages (excluding references), formatted according to the CVPR 2026 submission guidelines (https://cvpr.thecvf.com/Conferences/2026/CallForPapers). Review Process - All submissions will undergo double-blind peer review. - Submissions will receive 3 reviews — two reviews, followed by a meta-review. - Submissions must comply with CVPR policies. - An ethics/IRB checklist is required where applicable, and an optional ethics and broader impact statement may be included. Important Dates (AoE) - Archival Paper Submission Deadline: **March 16, 2026** (NEW) - Archival Notification of Decision: **March 24, 2026** (NEW) - Archival Camera-Ready Deadline: April 10, 2026 - Non-Archival Submission Deadline: May 10, 2026 - Non-Archival Notification: May 15, 2026 **Note: The archival notification date is earlier this year due to updated IEE metadata submission requirements.** Submission Site Archival papers can be submitted through the OpenReview Submission Site (https://openreview.net/group?id=thecvf.com/CVPR/2026/Workshop/CV4Edu). Non-proceedings papers and abstracts can be submitted through the OpenReview Submission Site (link to be posted). *********************************** ORGANIZERS Ekta Sood: University of Colorado Boulder Joyce Horn Fonteles: Vanderbilt University Mariah Bradford: Colorado State University Paul Gavrikov: Independent researcher Prajit Dhar: University of Marburg Janis Pagel: University of Cologne Trisha Mital: Dolby Laboratories Gautam Biswas: Vanderbilt University Sidney D'Mello: University of Colorado Boulder Contact: cv4edu.cvpr(a)gmail.com

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Upcoming Edge Hill Linguistics Research Group Webinar
by marcusi＠edgehill.ac.uk 12 Mar '26

12 Mar '26

The next webinar in the Edge Hill University Linguistics Research Group Speaker Series will take place on Thursday 26th March, 2-3pm (online via Teams). Title: Media Representations of Blindness in UK Newspapers: A Corpus-Based Study Speakers: Dr Costas Gabrielatos (English and Creative Arts), Dr Valeria Occelli (Psychology) Abstract: In this talk, we present a study investigating how UK newspapers portray blindness and blind people and how media discourse may influence public representations of visual impairment. We compiled the Blindness UK Press Corpus, consisting of articles published between 2014 and 2023 across ten national UK newspapers. Using collocation analysis of the lemmas blind and blindness, semantic preference analysis, and discourse prosody analysis based on manual annotation, we examined references to individuals and to the condition. Results show that blind individuals are rarely granted agency or voice. References to blindness are largely metaphorical and predominantly negative, and discussions of the condition focus mainly on pathology and limitation. Click here to register: https://forms.gle/s9Um9RR5xGzqeqca6. Registration will close at 5pm on Wednesday 25th March. The teams link will be sent out on the morning of the 26th March. If you have any questions, please email Dr Imogen Marcus: marcusi(a)edgehill.ac.uk.

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inserting a hyperlink
by Imogen Marcus 12 Mar '26

12 Mar '26

Hi I am posting for the first time and wondering : how do I insert a hyperlink? Thanks! Imogen Dr Imogen Marcus, Senior Lecturer in English Language Edge Hill University Edge Hill Linguistics Research Group Speaker Series 2025-2026: <https://sites.edgehill.ac.uk/lrg/forthcoming-events/> Linguistics Research Group Speaker Series<https://sites.edgehill.ac.uk/lrg/speaker-series/> ________________________________ 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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