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Miscelánea Joins EU Diamond Discovery Hub – Call for Papers
by Miguel-Angel Benitez-Castro 06 Apr '26

06 Apr '26

Dear colleagues, I hope this e-mail finds you well. I am writing in my capacity as Section Editor for English Language and Linguistics at_ Miscelanea: A Journal of English and American Studies_: https://papiro.unizar.es/ojs/index.php/misc/en. I am really pleased to share with you all that _Miscelanea _has been included in the European Union's _Diamond Discovery Hub_ platform for high quality open-access journals: https://ddh.edch.eu/en/journals/3198 _Miscelanea_, with 72 issues published to date, and with number 73 coming out in June, is one of the longest-running international journals on English Studies in Spain. It is published and produced at the University of Zaragoza, and more specifically, by the Department of English and German Philology. _Miscelanea _is a double-blind peer-reviewed journal published twice a year (in December and June), and publishes articles on English language and linguistics, on literatures written in English, and on cinema and cultural studies from the English-speaking world. We welcome submissions all year round. As Section Editor for English Language and Linguistics, I will welcome any submission that draws upon any of the following areas and/or methodological approaches (to name but a few): * Descriptive linguistics; * Applied linguistics; * Discourse analysis, Critical Discourse Analysis and Corpus-Assisted Discourse Analysis; * Sociolinguistics; * Systemic-Functional Linguistics; * Translation Studies; Etc. I hope you will consider our publication as a potential outlet for your research. Looking forward to receiving and reading your work. With all my best wishes, Miguel-Angel -- Dr. Miguel-Angel Benitez-Castro Departamento de Filología Inglesa y Alemana Facultad de Ciencias Sociales y Humanas, Universidad de Zaragoza (Spain) C/ Atarazanas, 4, 44003, Teruel https://orcid.org/0000-0001-8514-5943 https://www.researchgate.net/profile/Miguel-Angel-Benitez-Castro https://scholar.google.com/citations?user=wx8VaDcAAAAJ&hl=es [1] Member of: _IUI Biocomputation and Physics of Complex Systems (BIFI) [2]_ Universidad de Zaragoza Language and Linguistics Editor _- Miscelánea: A Journal of English and American Studies [3]_ Links: ------ [1] https://scholar.google.com/citations?user=wx8VaDcAAAAJ&hl=es [2] https://bifi.es/ [3] https://papiro.unizar.es/ojs/index.php/misc/index

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2nd Call for SemEval Task Proposals 2027
by Ekaterina Kochmar 06 Apr '26

06 Apr '26

Introduction We invite proposals for tasks to be run as part of SemEval-2027. SemEval (the International Workshop on Semantic Evaluation) is an ongoing series of evaluations of computational semantics systems, organized under the umbrella of SIGLEX, the Special Interest Group on the Lexicon of the Association for Computational Linguistics. SemEval tasks investigate the nature of meaning in natural languages, exploring how to characterize and compute meaning. This is achieved in practical terms, using shared datasets and standardized evaluation metrics to quantify the strengths and weaknesses and possible solutions. SemEval tasks encompass a broad range of semantic topics from the lexical level to the discourse level, including word sense identification, semantic parsing, coreference resolution, and sentiment analysis, among others. For SemEval-2027, we welcome tasks that can test an automatic system for semantic analysis of text (e.g., intrinsic semantic evaluation, or an application-oriented evaluation). We especially encourage tasks for languages other than English, cross-lingual tasks, and tasks that develop novel applications of computational semantics. See the websites of previous editions of SemEval to get an idea about the range of tasks explored, e.g., SemEval-2020 (http://alt.qcri.org/semeval2020/) and SemEval-2021/2026 (https://semeval.github.io<https://semeval.github.io/>). We strongly encourage proposals based on pilot studies that have already generated initial data, evaluation measures, and baselines. In this way, we can avoid unforeseen challenges down the road that may delay the task. We suggest providing a reasonable baseline (e.g., providing a Transformer / LLM baseline for a classification task) apart from the majority vote / random guess. In case you are not sure whether a task is suitable for SemEval, please feel free to get in touch with the SemEval organizers at <semevalorganizers(a)gmail.com<mailto:semevalorganizers@gmail.com>> to discuss your idea. The submission webpage is: https://softconf.com/acl2026/semevaltasks2027/ Task Selection Task proposals will be reviewed by experts, and reviews will serve as the basis for acceptance decisions. Everything else being equal, more innovative new tasks will be given preference over task reruns. Task proposals will be evaluated on: Novelty: Is the task on a compelling new problem that has not been explored much in the community? Is the task a rerun, but covering substantially new ground (new subtasks, new types of data, new languages, etc. - one addition is not sufficient)? Interest: Is the proposed task likely to attract a sufficient number of participants? Data: Are the plans for collecting data convincing? Will the resulting data be of high quality? Will annotations have meaningfully high inter-annotator agreements? Have all appropriate licenses for use and re-use of the data after the evaluation been secured? Have all international privacy concerns been addressed? Will the data annotation be ready on time? Evaluation: Is the methodology for evaluation sound? Is the necessary infrastructure available, or can it be built in time for the shared task? Will research inspired by this task be able to evaluate in the same manner and on the same data after the initial task? Is the task significantly challenging (e.g., room for improvement over the baselines)? Impact: What is the expected impact of the data in this task on future research beyond the SemEval Workshop? Ethical – The data must be compliant with privacy policies. e.g. avoid personally identifiable information (PII). Tasks aimed at identifying specific people will not be accepted. Avoid medical decision making (compliance with HIPAA, do not try to replace medical professionals, especially if it has anything to do with mental health). These are representative and not exhaustive. Roles: Lead Organizer - main point of contact, expected to ensure deliverables are met on time and participate in contributing to task duties (see below). Co-Organizers - provide significant contributions to ensuring the task runs smoothly. Some examples include maintaining communication with task participants, preparing data, creating and running evaluation scripts, leading paper reviewing, and acceptance. Advisory Organizers - more of a supervisor role, may not contribute to detailed tasks, but will provide guidance and support. New Tasks vs. Task Reruns We welcome both new tasks and task reruns. For a new task, the proposal should address whether the task would be able to attract participants. Preference will be given to novel tasks that have not received much attention yet. For reruns of previous shared tasks (whether or not the previous task was part of SemEval), the proposal should address the need for another iteration of the task. Valid reasons include: a new form of evaluation (e.g., a new evaluation metric, a new application-oriented scenario), new genres or domains (e.g., social media, domain-specific corpora), or a significant expansion in scale. We further discourage carrying over a previous task and just adding new subtasks, as this can lead to the accumulation of too many subtasks. Evaluating on a different dataset with the same task formulation, or evaluating on the same dataset with a different evaluation metric, typically should not be considered a separate subtask. Task Organization We welcome people who have never organized a SemEval task before, as well as those who have. Apart from providing a dataset, task organizers are expected to: - Verify the data annotations have sufficient inter-annotator agreement. - Verify licenses for the data allow its use in the competition and afterwards. In particular, text that is publicly available online is not necessarily in the public domain; unless a license has been provided, the author retains all rights associated with their work, including copying, sharing and publishing. For more information, see: https://creativecommons.org/faq/#what-is-copyright-and-why-does-it-matter - Resolve any potential security, privacy, or ethical concerns about the data. - Commit to make the data available also after the task in a long-term repository under an appropriate license, preferably using Zenodo: https://zenodo.org/communities/semeval/ - Provide task participants with format checkers and standard scorers. - Provide task participants with baseline systems to use as a starting point (in order to lower the obstacles to participation). A baseline system typically contains code that reads the data, creates a baseline response (e.g., random guessing, majority class prediction), and outputs the evaluation results. Whenever possible, baseline systems should be written in widely used programming languages and/or should be implemented as a component for standard NLP pipelines. - Create a mailing list and website for the task and post all relevant information there. - Create a CodaLab or other similar competition for the task and upload the evaluation script. - Manage submissions on CodaLab or a similar competition site. - Write a task description paper to be included in SemEval proceedings, and present it at the workshop. - Manage participants’ submissions of system description papers, manage participants’ peer review of each other’s papers, and possibly shepherd papers that need additional help in improving the writing. - Review other task description papers. Desk Rejects - To ensure tasks have sufficient support, we require a minimum of two organizers at the time of proposal submission. A task proposal with only one organizer will be desk-rejected. Running a SemEval task is a significant time commitment; therefore, we highly recommend that a task have at least three-four organizers. - A person can be a lead organizer on only one task. The second mandatory organizer on the task must be committed to the task as a key co-organizer. Any other organizers (beyond the lead and co-organizer) can participate in other tasks. - All data should have a research-friendly license. The licensing must be provided in the proposal. - Task organizers must commit to keeping the data available after the task, either by keeping the task alive, by uploading it to Zenodo or some other public data storage location that will be permanent, and sharing the link with the organizers. === Important dates === - Task proposals due 13 April 2026 (Anywhere on Earth) - Task selection notification 25 May 2026 === Preliminary timetable === - Sample data ready 15 July 2026 - Training data ready 1 September 2026 - Evaluation data ready 1 December 2026 (internal deadline; not for public release) - Evaluation start 10 January 2027 - Evaluation end by 31 January 2027 (latest date; task organizers may choose an earlier date) - Paper submission due February 2027 - Notification to authors March 2027 - Camera ready due April 2027 - SemEval workshop Summer 2027 (co-located with a major NLP conference) Tasks that fail to keep up with crucial deadlines (such as the dates for having the task and CodaLab website up and dates for uploading sample, training, and evaluation data) may be cancelled at the discretion of SemEval organizers. While consideration will be given to extenuating circumstances, our goal is to provide sufficient time for the participants to develop strong and well-thought-out systems. Cancelled tasks will be encouraged to submit proposals for the subsequent year’s SemEval. To reduce the risk of tasks failing to meet the deadlines, we are unlikely to accept multiple tasks with overlap in the task organizers. Submission Details The task proposal should be a self-contained document of no longer than 3 pages (plus additional pages for references). All submissions must be in PDF format, following the ACL template: https://github.com/acl-org/acl-style-files Each proposal should contain the following: - Overview - Summary of the task - Why this task is needed and which communities would be interested in participating - Expected impact of the task - Data & Resources - How the training/testing data will be produced. Please discuss whether existing corpora will be reused. - Details of copyright and license, so that the data can be used by the research community both during the SemEval evaluation and afterwards - How much data will be produced - How data quality will be ensured and evaluated - An example of what the data would look like - Resources required to produce the data and prepare the task for participants (annotation cost, annotation time, computation time, etc.) - Assessment of any concerns with respect to ethics, privacy, or security (e.g., personally identifiable information of private individuals; potential for systems to cause harm) - Pilot Task (strongly recommended) - Details of the pilot task - What lessons were learned, and how these will impact the task design - Evaluation - The evaluation methodology to be used, including clear evaluation criteria - For Task Reruns - Justification for why a new iteration of the task is needed (see criteria above) - What will differ from the previous iteration - Expected impact of the rerun compared with the previous iteration - Task organizers - Names, affiliations, email addresses - (optional) brief description of relevant experience or expertise - (if applicable) years and task numbers of any SemEval tasks you have run in the past Proposals will be reviewed by an independent group of area experts who may not have familiarity with recent SemEval tasks, and therefore, all proposals should be written in a self-explanatory manner and contain sufficient examples. The submission webpage is: https://softconf.com/acl2026/semevaltasks2027/ === Chairs === Debanjan Ghosh, Analog Devices, USA Kai North, Cambium Assessment, USA Ekaterina Kochmar, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), UAE Mamoru Komachi, Hitotsubashi University, Japan Marcos Zampieri, George Mason University, USA Contact: semevalorganizers(a)gmail.com<mailto:semevalorganizers@gmail.com>

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M.A. in Applied Linguistics at Montclair State University
by Anna Feldman 06 Apr '26

06 Apr '26

The MA in Applied Linguistics at Montclair State University (New Jersey, USA) is accepting applications for Fall 2026. This interdisciplinary program provides training in language, communication, and society, with a focus on real-world applications of linguistic analysis. *About the Program:* *Core areas:* The curriculum covers second language acquisition, sociolinguistics, discourse analysis, multilingualism, and language in education, alongside training in corpus-based and computational approaches to language. *Research-active faculty:* Faculty research spans second language acquisition, psycholinguistics and neurolinguistics, corpus linguistics, register variation, academic discourse, second language writing, prosody and speech processing, language documentation, and conversation analysis, alongside computational approaches to language. Students may participate in mentored research and applied projects across corpus, NLP, and experimental labs. *Interdisciplinary training:* The program draws on expertise across Linguistics and related fields, supporting both qualitative and quantitative approaches, including corpus analysis and data-driven methods. *Flexible pathways:* The program is open to students from any academic background, with options tailored to interests in research, education, or language-related careers. *Professional outcomes:* Graduates pursue careers in education, language services, communication, research, and related fields, supported by faculty mentorship and a growing alumni network. *Location:* Montclair, NJ is located 12 miles from New York City, providing access to a diverse linguistic environment and professional opportunities. *Funding:* A limited number of graduate assistantship positions may be available in Fall 2026, awarded on a competitive, merit basis. More information and application details: https://www.montclair.edu/academics/programs/ma-applied-linguistics/ Please feel free to share this announcement with interested students and colleagues. For questions, email Dr. Larissa Goulart (M.A. in Applied Linguistics Program Coordinator) at goulartl(a)montclair.edu or Dr. Anna Feldman (Chair of Linguistics) at feldmana(a)montclair.edu.

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M.S. in Computational Linguistics at Montclair State University
by Anna Feldman 06 Apr '26

06 Apr '26

The MS in Computational Linguistics at Montclair State University (New Jersey, USA) is accepting applications for Fall 2026. This interdisciplinary program is jointly offered by the Departments of Linguistics and the School of Computing, combining theoretical linguistics with training in NLP, machine learning, and language technologies. *About the Program:* *Cutting-edge coursework:* The curriculum integrates NLP, corpus linguistics, annotation, machine learning, deep learning, and large language models (LLMs), alongside strong foundations in syntax, semantics, and phonetics. *Research-active faculty: *Faculty research spans NLP, speech processing, and computational modeling of language learning and processing. Areas of work include figurative language, psycholinguistically informed approaches, multilingual and low-resource NLP, corpus development and annotation, and machine learning, including transformer-based methods. Students may participate in ongoing research and lab-based projects, including work in dedicated research labs (NLP Lab, Corpus Linguistics Lab, and Experimental Linguistics Lab). *Interdisciplinary training:* As a joint program between Linguistics and the School of Computing, the curriculum integrates coursework in programming, data structures, and machine learning with linguistics and NLP. *Flexible pathways:* The program is open to students from any academic background, with preparatory coursework available as needed. *Industry relevance:* An active Industry Advisory Board helps align the curriculum with current needs in AI and language technology, and supports connections to internships, applied projects, and career opportunities. *Career outcomes:* A growing alumni network supports placements across industry, government, and academia. *Location:* Montclair, NJ is approximately 12 miles from New York City, providing direct access to a major hub for tech, AI, and research opportunities. *Funding:* A limited number of graduate assistantship positions will be available for Fall 2026, awarded on a competitive, merit basis. More information and application details: https://www.montclair.edu/academics/programs/ms-computational-linguistics/ Please feel free to share this announcement with interested students and colleagues. For questions, email Dr. Libby Barak (M.S. in Computational Linguistics Program Coordinator) at barakl(a)montclair.edu or Dr. Anna Feldman (Chair of Linguistics) at feldmana(a)montclair.edu. *Anna Feldman, Ph.D.* Professor of Linguistics <https://www.montclair.edu/linguistics/>and Computer Science <https://www.montclair.edu/school-of-computing/> Chair of Linguistics Phone: *973-655-7500* Email: *feldmana(a)montclair.edu* <feldmana(a)montclair.edu> [image: Montclair State University]

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Appel : Journée d'étude « IA et découvrabilité scientifique : enjeux pour la francophonie »
by Laperrière, Gaëlle 04 Apr '26

04 Apr '26

Appel : Journée d'étude « IA et découvrabilité scientifique : enjeux pour la francophonie » Jeudi 30 avril, Montréal, Canada **Date limite de réponse : 4 avril 2026** https://dcsf.cirst.ca/journees-ia-decouvrabilite-appel/ Créée en 2024 par le Fonds de recherche du Québec, la Chaire de recherche du Québec sur la découvrabilité des contenus scientifiques en français (DCSF) s'intéresse aux conditions d'accès, de diffusion et d'usage des savoirs scientifiques en français. Elle étudie les pratiques de publication et les outils technologiques qui influencent la découvrabilité des contenus. Elle développe des solutions pour infléchir le recul de l'usage du français en recherche et pour bonifier les capacités de découverte des principales plateformes de diffusion de contenus scientifiques en français utilisées au Québec. En soutenant des stratégies et des outils adaptés, la Chaire vise ainsi à renforcer durablement la présence du français dans les communautés de recherche. ________________________________ La journée d’étude « IA et découvrabilité scientifique : enjeux pour la francophonie », organisée le 30 avril 2026, propose une réflexion collective sur les effets des outils d’intelligence artificielle dans la circulation des savoirs scientifiques en français. Des tables rondes, des présentations, une session de posters et un atelier pratique permettront d’examiner les enjeux de l’IA pour la recherche francophone : promesses et limites de l’IA générative, biais linguistiques et sociaux des modèles multilingues, enjeux de souveraineté des données et propriété intellectuelle, standardisation du savoir. Cette journée entend ouvrir un espace de débat sur l’avenir de la publication scientifique en français et identifier des leviers d’action pour renforcer la découvrabilité des contenus francophones dans les environnements numériques contemporains. Outre la consolidation d’un réseau de recherche interdisciplinaire, cette journée a pour objectif de favoriser l’identification de pistes de recherche sur les transformations induites par l’IA dans la circulation des savoirs scientifiques en français. Appel à présentations Public visé Personnes utilisatrices (journalisme, communication scientifique, milieux communautaires, etc.), communauté de recherche (IA, communication, sciences de l’information, sciences humaines et sociales, études linguistiques, etc.). Format Communication de 15 minutes + 5 minutes de questions. Participation en mode hybride (en personne ou à distance). Thématiques * Biais linguistiques et sociaux des modèles multilingues * Standardisation du savoir et biais d’indexation * Secteur privé, propriété intellectuelle et souveraineté des données * Place de la francophonie (Afrique, Europe, Québec, etc.) dans les modèles d’IA * Recherche documentaire : les LLM face aux moteurs de recherche * Découvrabilité scientifique et vulgarisation * Publication scientifique en français (enjeux globaux et responsabilités locales) * Les propositions hors de ces thèmes mais en cohérence avec la thématique générale des journées sont les bienvenues. Soumission Un seul document pdf contenant : * Titre * Auteur.e.s * Affiliation.s * Résumé (250 mots) * Courte biographie Appel à posters Public visé Personnes utilisatrices (journalisme, communication scientifique, milieux communautaires, etc.), personnes étudiantes de cycles supérieurs, postdoctorantes. Format Session posters de 45 minutes à 1 heure. Présentation sur place. Si vous souhaitez présenter un poster à distance, merci de nous contacter. Poster au format A0. Thématiques Les posters peuvent porter sur tous les enjeux en lien avec l’IA, la recherche d’information, la traduction, la publication scientifique, la découvrabilité ou les langues de diffusion de la science. Soumission Un seul document pdf contenant: * Titre * Auteur.e.s * Affiliation.s * Résumé (250 mots) * 3 à 5 mots-clés Pour les personnes étudiantes : cycle d’étude et stade de la recherche (exploratoire, résultats préliminaires, finalisée) Modalités générales * Langue des soumissions et des communications : français et anglais * Envoi des propositions : chaire.dcsf(a)proton.me * Date limite : 4 avril 2026 Les propositions seront évaluées au fur et à mesure de leurs réceptions. Aucune contribution ne sera évaluée après le 4 avril. Les communications feront l’objet d’une captation vidéo et d’une valorisation sur le site de la Chaire.

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Workshop Announcement TALA 2026
by Romane Werner 03 Apr '26

03 Apr '26

[Workshop Announcement] TALA 2026 – New Trends in Automatized Language Assessment (7th of April 2026, Louvain-la-Neuve + online) We are pleased to announce the Workshop on New Trends in Automatized Language Assessment (TALA), which will take place on the 7th of April 2026 in Louvain-la-Neuve, Belgium and online (hybrid event). This workshop aims to provide an overview of recent approaches in automatized language assessment and to offer researchers, academics and (PhD) students an opportunity to discuss current trends and methods in language assessment research. The workshop will focus on proficiency assessment, with particular attention to: * Automatic Readability Assessment (ARA), an interdisciplinary field investigating linguistic, cognitive and typographic factors influencing text comprehension across audiences and domains, such as education, institutional communication, digital accessibility and automated proficiency evaluation; * Automated Essay Scoring (AES), which aims to analyse written productions in order to evaluate writers’ competence, especially linguistic proficiency and to support both assessment practices and formative feedback generation. The full program can be found below and includes an invited keynote talk and presentations selected through abstract submission. It includes detailed instructions to reach the venue and the specific room. Invited speaker Rodrigo Wilkens (University of Exeter) Talk title: From Simplification to Readability-Guided Text Adaptation Rodrigo Wilkens specialises in computational readability modelling and automated essay scoring. His research focuses on multilingual proficiency assessment, linguistic feature modelling and the use of large language models for educational applications. His work includes the development and evaluation of ARA and AES systems, with particular attention to non-English languages, as well as research on transformer-based proficiency prediction, interpretability in automated assessment, and readability-guided text generation. If you are interested, please register using this link<https://forms.cloud.microsoft/pages/responsepage.aspx?id=1JCwei76z068fEEntN…>. We look forward to welcome you to TALA 2026. Best regards, The TALA Organizing Team Program: * 14:00 - 14:10 - Session d’accueil  * 14:10 – 14:50 – Session 1 * 14:10 – 14:30 Cognitive Grounding of Linguistic Variables for Automatic Readability Assessment Elodie Vanzeveren, Rodrigo Wilkens, Thomas François * 14:30 – 14:50 Automated CEFR-Level Assignment for Ukrainian Texts Olha Kanishcheva, Mikhail Kopotev * 14:50 – 15:40 – Keynote From Simplification to Readability-Guided Text Adaptation Rodrigo Wilkens * 15:40 – 16:00 – Coffee break  * 16:00 – 17:00 – Session 2 * 16:00 – 16:20 Automatic Essay Scoring and Feedback Generation in Basque Language Learning Ekhi Azurmendi, Xabier Arregi, Oier Lopez de Lacalle * 16:20 – 16:40 AI, Human, or Hybrid? Evaluating the Reliability of AI Text Detection Tools in Multi-Authored Contexts Laura C. Úbeda-Cuspinera, Sheila Queralt * 16:40 – 17:00 Assessing L2 Writing with Generative AI: Comparing Models, Prompts, and Human Raters Agnieszka Leńko-Szymańska, Jiří Milička * 17:00 – 17:30 – Roundtable discussion and closing  Access  The event will take place at the Salle du Conseil de la Faculté de Philosophie, Arts et Lettres (FIAL), Collège Erasme, Place Blaise Pascal, 1 in 1348 Louvain-la-Neuve.

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CFP: 47th Translating and the Computer Conference (TC47)
by Amal Haddad 02 Apr '26

02 Apr '26

Call for Presentations and papers 47th Translating and the Computer Conference (TC47) Luxembourg, 8 to 10 December 2026 https://asling.org/tc47/ [1] 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 [2] 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://asling.org/tc47/ [2] https://www.softconf.com/p/tc2026/

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CFP: Promoting machine translation and GenAI translation literacy: an approach towards professional translation and interpreting labour market
by Amal Haddad 02 Apr '26

02 Apr '26

Promoting machine translation and GenAI translation literacy: an approach towards professional translation and interpreting labour market University of Granada, Spain 2-3 June 2026 Call for papers The labour market associated with most careers has evolved rapidly in the recent years, requiring a workforce with extensive digital skills. The same applies to the current landscape of the translation profession, which is also being reshaped by the forces of Artificial Intelligence (AI), digitisation and the applications of Natural Language Processing (NLP). Furthermore, recently, the most frequent discussion among academics and industry revolves around the danger of AI encroaching on the profession of translators, terminologists and interpreters, putting their job positions at risk, or even causing the eventual disappearance of translation careers. Some universities warn of the risk of terminating translation career paths due to the sharp decline in the number of students or the demise of translation careers as an independent field of study. Additionally, the hypothesis that technology is more efficient than humans in performing translation and interpreting tasks is becoming a threat itself, leading to a sharp decline in the number of students enrolled in translation and foreign languages careers worldwide. In most universities, this panorama is the case in most translation careers, and Spanish universities are no exception. One of the solutions to this problem is machine translation literacy, GenAI literacy and reducing the gap between technological developments and the technological competencies of translation and interpreting teachers. This event aims at offering solutions and training translation and interpreting teachers in this direction, in a way that they know how to follow the pace of technology and acquire basic technological notions, so that they keep up with the high quality teaching, required to keep a good ranking for their universities, provide excellent teaching to their students, and be part of the solution to protect translation careers from a humanistic point of view. Rationale and objectives The current landscape of translation education faces a critical juncture. While the profession is being reshaped by Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies, the velocity of technological advancement has outpaced the capacity of educators to integrate these tools effectively into their teaching. This gap manifests in three interconnected problems. First: Digital literacy deficit Research on university students' perceptions of GenAI-assisted translation reveals concerns about declining translation creativity, independent thinking, and a notable deficiency in digital literacy among both educators and learners. Many translation educators lack training in how these tools function, their limitations, and appropriate pedagogical approaches for teaching with them. The European Association for Machine Translation's 2024 Translation Education Week emphasized that transversal skills, particularly AI literacy, data quality assessment, and communication abilities, are now more crucial than ever in translator education. Second: Disconnection between academic training and labour market realities While general content translation is increasingly automated, specialized domains requiring nuanced language skills, cultural adaptation, and subject-matter expertise remain essential human territories. The translation industry has transitioned to a hybrid model where Machine Translation Post-Editing (MTPE) offers 30-50% cost reductions while maintaining accuracy, yet many graduates lack training in these workflows. Studies demonstrate that solid grammatical proficiency combined with MT literacy produces significantly higher quality translations than either factor alone, highlighting the need for integrated training approaches. Third: Insufficient understanding of quality distinctions and ethical responsibilities The widespread adoption of tools like Google Translate and DeepL by professionals and students often occurs with relatively little reflection, leading to potential risks in high-stakes contexts such as legal documents, medical translations, or patient forms where errors can have severe consequences. Educators must develop "MT literacy consultant" capabilities, the ability to assess when and how MT can be appropriately deployed, and to advise others on its responsible use. Objectives This event addresses these challenges through three core objectives: * Bridging the Technological Gap We will provide practical training in basic MT and GenAI literacies, equipping educators with foundational understanding of how neural machine translation, large language models, and generative AI tools function. This includes hands-on experience with current technologies, understanding their capabilities and limitations, and learning pedagogical strategies for integrating them into curricula. * Aligning Education with Labour Market Demands We will present current industry trends and expectations, helping educators understand the evolution from traditional translation to AI-augmented workflows. This includes exploring post-editing skills, quality assessment frameworks, and specialized domain knowledge that differentiate human expertise from automated output. By understanding what employers seek, professionals who can work effectively alongside AI while maintaining quality standards, educators can better prepare graduates for meaningful careers. * Promoting Ethical and Quality-Conscious Practice We will emphasize the critical importance of understanding translation quality gradations and the responsibilities associated with different contexts. This includes teaching students to assess risk levels (high-stakes vs. low-stakes scenarios), recognize when human expertise is non-negotiable, and communicate the value of professional translation to clients and the public. We will also address environmental and social implications of translation choices, fostering responsible professional citizenship. Added Value The added value of this event lies in its practical, forward-looking approach. Rather than resisting technological change or uncritically embracing it, we advocate for informed integration, recognizing AI as a powerful tool that augments rather than replaces human expertise. By equipping educators with confidence and competence in these areas, we strengthen the entire educational ecosystem: better-prepared teachers lead to better-trained students, who in turn become the skilled professionals needed in today's translation market. Furthermore, this initiative contributes to the broader mission of protecting and promoting translation studies as a vital humanistic discipline. By demonstrating how translation professionals can thrive in an AI-enhanced landscape, we empower educators to attract and retain students with realistic, compelling visions of rewarding careers. We welcome any contributions related to this timely topic. Presentation format: Talk (20 mins), non-archival. Selection for places will be made by the conference scientific committee (blind peer review). SUBMIT AN ABSTRACT https://docs.google.com/forms/d/1xrgG09Xnu95cAPQlXTLrSGDste08qKhETQ8vLYN-gY… Important dates: Deadline for Abstracts: 14 April 2026 Notification of Outcome: 30 April 2026 Conference award: Conference award granted by AIETI, the Iberian Association for Translation and Interpreting Studies. No registration fees required but registration is mandatory Registration form: https://docs.google.com/forms/d/e/1FAIpQLSed_1KAdpoho8Ay9m9-DPPhnAdg3Sl0yzW… [1] -- 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://docs.google.com/forms/d/e/1FAIpQLSed_1KAdpoho8Ay9m9-DPPhnAdg3Sl0yzW…

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Open PhD position on cognitively-inspired language modeling in Göttingen
by Beinborn, Lisa 02 Apr '26

02 Apr '26

Dear fellow NLPers, we are looking for a PhD candidate to join our Human-Centered Data Science group at the University of Göttingen, Germany. We take a human-centered perspective on natural language processing research and focus on cognitively inspired representation learning, multilingual NLP, and interpretability methods. The KIND-LM project is a collaboration between Lisa Beinborn and Nivedita Mani, who leads the Psychology of Language group. It advances research on cognitively-inspired sample-efficient modelling and contributes to the Priority Programme LaSTing (“Robust Assessment & Safe Applicability of Language Modelling: Foundations for a New Field of Language Science & Technology”). If you’d like to join our group and conduct research at the intersection of computational modeling and psycholinguistics, please read the details of the job posting. The application deadline is April 15th. If the timing isn’t right for you (but everything else is), feel free to reach out anyway. Job Posting: https://huds.uni-goettingen.de/assets/Call_Kindlm.pdf HuDS group: https://huds.uni-goettingen.de/ LaSTing Programme: https://www.lasting-spp.org/ We are looking forward to your application. Best regards, Lisa Beinborn ------------------------------------------------- Prof. Dr. Lisa Beinborn Human-Centered Data Science https://huds.uni-goettingen.de/ Institute for Computer Science University of Göttingen -------------------------------------------------

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[IEEE FG2026] Last reminder CFP: 1st Workshop on Behavioral and Emotion Analysis through wearable Technology
by Arianna De Vecchi 01 Apr '26

01 Apr '26

Wearable movement and physiology sensors offer lightweight, non-invasive, and ecologically valid means to monitor human activity, affective state, and social behavior. With the rise of commercially deployed devices and new wearable foundation models, opportunities for scalable human behavior analysis continue to grow. However, challenges such as personalized modeling, on-device integration, or multimodal fusion prevail, limiting in-the-wild deployment of wearable devices. The 1st Workshop on Behavioral and Emotion Analysis through wearable Technology (BEAT) aims to foster collaboration between researchers from various backgrounds (ML, HCI, biomedical engineering) around the topic of wearable devices for human behavioral analysis. The workshop will be held in Kyoto as part of the 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026), taking place on May 25, 2026. Topics of interest include, but are not limited to: * Machine Learning and computational models for movement and physiological wearables * Resource efficient and lightweight models * Multimodal fusion and synchronization strategies * Methods for irregularly sampled or missing data * Individual differences, personalization, and context-awareness * Ethical and privacy-preserving AI in wearable systems * Novel wearables and applications * Experimental methods for validation of wearable systems * Lab-controlled experiments and In-the-wild deployment * Datasets and Benchmarks * Responsible data management and user consent * Applications in Affective Computing / Mobile Health / Action Recognition / Social Interaction / HRI Submission Details: (1) Main Track (Original Research): 4 up to 8-pages work (2) Non-Archival Track (Published Work): 1-page summary Important Dates: Main track: * Paper registration deadline: April 3, 2026 * Paper submission deadline: April 3, 2026 * Notification to authors: April 15, 2026 * Camera-ready paper deadline: April 20, 2026 Non-archival track: * Summary submission deadline: April 3, 2026 * Notification to authors: April 15, 2026 For more details, please visit our website: https://beat-workshop.github.io/ For further questions, contact us via beat-workshop(a)googlegroups.com<mailto:beat-workshop@googlegroups.com> General Chairs: Louis Simon, Arianna de Vecchi, Cristina Palmero, Felix Dollack, Ting Dang, Mohamed Chetouani (modificato) beat-workshop.github.io Behavior and Emotion Analysis through wearable Technology (BEAT)<https://beat-workshop.github.io/> Workshop at IEEE International Conference on Automatic Face and Gesture Recognition 2026, Kyoto, Japan

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