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Call for Participation: MRL Shared Task at EMNLP 2026
by ljvm2＠cam.ac.uk 22 Jun '26

22 Jun '26

Call for Participation: MRL Shared Task at EMNLP 2026 =========================================== As part of the Multilingual Representation Learning Workshop at EMNLP 2026, we are organizing another collaborative shared task. We are asking contributors to write culturally specific question-answer pairs in their language. All contributors to the dataset will be *invited to be authors on the dataset paper*, which we will submit for publication next year. This is a great project if you’re looking to get involved in NLP research for the first time! We are accepting submissions in any language, but we especially welcome submissions in languages with few speakers and non-standard varieties! Last year, we collectively created a benchmark for over 140 language varieties with over 350 collaborators around the world, called Global PIQA. We are hoping to create another huge dataset with at least as much impact. Help us make sure your language is represented! If you are interested in contributing or getting updates, please fill out the Interest Form: https://docs.google.com/forms/d/e/1FAIpQLSeFeJihiU8UHmb51zuBtLGfa1xq5Lf3tWf… [1] See our task website for up-to-date information: https://mrlbenchmarks.github.io/ [2] And join our Discord to meet potential collaborators! https://discord.com/invite/35tgtC36eT [3] Follow the workshop account on Twitter/X [4] and Bluesky [5] for updates and announcements! Organizing Committee ================== * Catherine Arnett, EleutherAI * Tyler Chang, Google DeepMind * Jesujoba Alabi, Saarland University * Omer Goldman, University of Cambridge * Lj V. Miranda, University of Cambridge * David Stap, NXAI Important Dates ============= * June 8th 2026: Call for participation released, task specifications and submission guidelines published. * July 10th 2026: Information Session, online event to find out how to participate and ask questions. * August 1st 2026: Dataset submission deadline, submit your dataset and dataset description. * September 2026: Decision notification, acceptance decisions sent to participants. * Early October 2026: Benchmark paper publication, organizers work with authors to compile and publish the final dataset and paper. * October 24-29 2026: MRL Workshop @ EMNLP 2026, shared task results presented at the workshop. Important Links ============= [1] https://docs.google.com/forms/d/e/1FAIpQLSeFeJihiU8UHmb51zuBtLGfa1xq5Lf3tWf… [2] https://mrlbenchmarks.github.io/ [3] https://discord.com/invite/35tgtC36eT [4] https://x.com/mrl_workshop [5] https://bsky.app/profile/mrl-workshop.bsky.social

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LxGr2026: Call for Participation - one week to register
by Costas Gabrielatos 22 Jun '26

22 Jun '26

11th Symposium on Corpus Approaches to Lexicogrammar (LxGr2026) LxGr2026 will be held online on Thursday 2 and Friday 3 July 2026. Registration closes in one week (30 June). Programme, abstracts, and registration (free): https://sites.edgehill.ac.uk/lxgr Invited Speakers Stefan Th. Gries<https://www.stgries.info/> (University of California, Santa Barbara, USA) Martin Hilpert<http://members.unine.ch/martin.hilpert> (University of Neuchâtel, Switzerland) Serge Sharoff<https://ssharoff.github.io/> (University of Leeds, UK) If you have problems registering, or have any questions, please contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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Model Compression Shared Task @ WMT 2026 - Second (Last) Call for Participation
by Marco Gaido 22 Jun '26

22 Jun '26

Dear all, Apologies for cross-posting. We are pleased to announce the second call of the Model Compression Shared Task <https://www2.statmt.org/wmt26/model-compression.html> at WMT 2026 <https://www2.statmt.org/wmt26/>. This shared task aims to evaluate the potential of model compression techniques in reducing the size of general-purpose large language models, with the goal of achieving an optimal balance between practical deployability and high translation quality in specific machine translation (MT) scenarios. The task’s broader objectives include fostering research into the efficient, accessible, and sustainable deployment of LLMs for MT, establishing a common evaluation framework to monitor progress in model compression across a wide range of languages, and enabling meaningful comparisons with state-of-the-art MT systems through standardized evaluation protocols designed to assess not only translation quality but also computational efficiency. Although the focus is on model compression, the task is closely aligned with the General MT shared task <https://www2.statmt.org/wmt26/translation-task.html>, sharing test data from a subset of its language directions, as well as protocols for automatic MT quality evaluation. Additionally, the task follows the same timeline as the flagship WMT task. We warmly invite participation from academic teams and industry players interested in applying existing compression methods to MT or exploring innovative, cutting-edge approaches. THE TASK IN A NUTSHELL Goal: Reduce the size of a general-purpose LLM while maintaining a balance between model compactness and MT performance. Languages: The second round of the task will focus on a subset of the languages covered by the General MT task, namely: Czech to German, English to Chinese (Simplified), and English to Arabic (Egyptian). Conditions: - Constrained: Participants will compress a specific model, using a predefined pool of data for calibration and fine-tuning (if needed) to ensure directly comparable results. - Unconstrained: Participants are free to compress any model, provided its original size is below 20B parameters, and use any additional data for calibration and fine-tuning. Participation format: Participants will share their compressed models to be run on a standardized hardware environment provided by the organizers. Evaluation Criteria: - Translation quality: Automatically assessed using multiple metrics, e.g. Comet, MetricX, and an LLM-as-a-judge framework. - Model size: Defined by memory usage. - Inference speed: Measured by total processing time over the test set. IMPORTANT DATES - Test data and submission information has just been released - Model Submission deadline: July 2, 2026 - System description paper submission: in line with WMT26 <https://www2.statmt.org/wmt26/index.html> - Camera-ready submission: in line with WMT26 <https://www2.statmt.org/wmt26/index.html> - WMT 2026 Conference (co-located with EMNLP2026 <https://2026.emnlp.org/> in Budapest, Hungary): November, 2026 WEBSITE: https://www2.statmt.org/wmt26/model-compression.html ORGANIZERS: Marco Gaido, Fondazione Bruno Kessler Matteo Negri, Fondazione Bruno Kessler Roman Grundkiewicz - Microsoft Translator TG Gowda - Microsoft Translator CONTACTS: Marco Gaido - mgaido(a)fbk.eu Matteo Negri - negri(a)fbk.eu -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Second CfP and Deadline Extension: 9th Workshop on Natural Language for Artificial Intelligence (NL4AI)
by Elisa Leonardelli 22 Jun '26

22 Jun '26

═══════════════════════════════════════════════════════════ NL4AI 2026 – 9th Workshop on Natural Language for Artificial Intelligence, at the 24th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2026 <https://aixia2026.unipg.it/>) 6–9 October 2026 | Perugia, Italy ═══════════════════════════════════════════════════════════ Website: http://sag.art.uniroma2.it/NL4AI/ Contact Email: nl4ai2026(a)gmail.com ── IMPORTANT DATES ────────────────── [EXTENDED] Paper Submission deadline: 29 June 2026 6 July 2026 🚨 Notification to authors: 31 July 2026 Camera-ready due: 26 August 2026 Workshop Dates: 6–9 October 2026 ──────────────────────────────────── We are pleased to invite submissions to NL4AI 2026, the Ninth Workshop on Natural Language for Artificial Intelligence, to be held in Perugia from the 6th to the 9th of October 2026, within the 24th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2026), and supported by AILC (http://www.ai-lc.it/). The goal of NL4AI is to explore the role of Computational Linguistics and Natural Language Processing in Artificial Intelligence applications. We believe that new technological challenges and opportunities arise at the boundary between NLP and AI. On the one hand, AI applications benefit from a deeper understanding of problems related to Natural Language, and thus the integration of advanced NLP techniques. On the other hand, NLP benefits greatly from being used in wider areas of AI where problems and methodologies related to NL can be evaluated in new contexts. TOPICS OF INTEREST Topics include but are not limited to: - NLP and AI Applications (health, legal domain, social media and journalism, etc.) - Natural Language Interfaces for Human Robot Interaction - Resources, Benchmarks, and Evaluation - Discourse and Pragmatics - Semantics - Natural Language Generation - Creativity, Style, and Narrative Generation - Summarization - Information Extraction in AI Applications - Machine Learning for NLP - LLMs, Foundation Models and Applications - Interpretability, Explainability and Analysis of Models for NLP - Natural Language Inference - Question Answering and Reading Comprehension - Sentiment Analysis, Opinion Mining, and Argumentation - Abusive Language Detection and Analysis - NLP for Fact Checking, Fake News Detection and Analysis - Conversational Agents in Human-Computer Interaction - Speech and Spoken Language Processing - Language and other Multimodality - Multimodal (text-image) data sources - Machine Translation and Multilinguality - Low-Resource NLP and Linguistic Diversity - Cognitive Modeling and Psycholinguistics - Computational Historical Linguistics, Social Science, and Cultural Analytics - Ethics, Fairness, and Societal Impacts of NLP - NLP and Industrial Challenges Accepted papers will be published in the workshop proceedings via CEUR Workshop Proceedings. Depending on the number and quality of papers received, we will consider proposing a special issue in relevant journals. The Program Committee will select the Best Workshop Paper from the accepted papers. SUBMISSIONS We encourage original submissions that describe new theoretical models, applied techniques, and research in progress. Substantial extensions to works already published or presented in other locations are welcome as well. We invite two kinds of submissions: - Short/Demo Paper. Maximum length of 6 pages + up to 2 pages of Acknowledgements/Declaration on Generative AI/References - Regular Papers. Maximum length of 12 pages + up to 2 pages of references Acknowledgements/Declaration on Generative AI/References Please note that papers with less than 25000 characters will be considered short papers in the CEUR proceedings. Submissions Evaluation. Submissions will be peer-reviewed (single-blind) by the program committee members. Evaluation criteria will include novelty, significance for theory/practice, technical soundness, and quality of presentation. Note that reviewers will not be required to evaluate appendices providing a review of the papers. Appendices are intended for including details for reproducibility and/or additional results. How to Submit. Proceedings shall be submitted to CEUR-WS.org for online publication and all papers must follow the 2022 CEUR-ART - 1 Column paper style. The LaTeX template can be downloaded as source file from the NL4AI website <http://sag.art.uniroma2.it/NL4AI/wp-content/uploads/2026/05/CEURART-NL4AI-2…> or accessed as a Template in Overleaf <https://it.overleaf.com/read/cfvwgnqpvpys#a7a014>. All the papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=nl4ai2026 Note: All submissions must be compatible with CEUR (https://ceur-ws.org/) and include the CEUR Declaration on Generative AI section ( https://ceur-ws.org/GenAI/Policy.html). Papers missing this section will be desk rejected. WORKSHOP ORGANIZERS Alessandro Bondielli (University of Pisa) Giovanni Bonetta (Fondazione Bruno Kessler) Elisa Leonardelli (Fondazione Bruno Kessler) Irene Siragusa (University of Palermo) We look forward to seeing you in Perugia! The NL4AI 2026 Workshop Organizers -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): Last Call for Replications and Negative Results
by Announce 21 Jun '26

21 Jun '26

*** Last Call for Replication and Negative Results *** 37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026) October 20-23, 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://cyprusconferences.org/issre2026/ The Replications and Negative Results (RENE) Track has been introduced in the software engineering community for a while and received overwhelmingly positive feedback. This year, we establish this track at ISSRE and invite researchers to (1) replicate results from previous papers and (2) publish studies with important and relevant negative or null results (results that fail to show an effect, yet demonstrate the research paths that did not pay off). We also encourage the publication of the negative results or replicable aspects of previously published work. For example, authors of a published paper reporting a working solution for a given problem can document in a “negative results paper” other (failed) attempts they made before defining the working solution they published. • Replication studies. The papers in this category must go beyond simply re- implementing an algorithm and/or re-running the artifacts provided by the original paper. Such submissions should at least apply the approach to new data sets (open-source or proprietary). A replication study should clearly report on results that the authors were able to replicate, as well as on the aspects of the work that were not replicable. • Negative results papers. We seek papers that report on negative results. We seek negative results for all types of program comprehension research in any empirical area (qualitative, quantitative, case study, experiment, etc.). For example, did your controlled experiment not show an improvement over the baseline? Even if negative, results obtained are still valuable when they are either not obvious or disprove widely accepted wisdom. Evaluation Criteria Both Replication Studies and Negative Results submissions will be evaluated according to the following standards: • Depth and breadth of the empirical studies • Clarity of writing • Appropriateness of conclusions • Amount of useful, actionable insights • Availability of artifacts • Underlying methodological rigor. A negative result due primarily to misaligned expectations or due to lack of statistical power (small samples) is not a good submission. The negative result should be a result of a lack of effect, not a lack of methodological rigor. Most importantly, we expect replication studies to clearly point out the artifacts upon which the study is built, and to provide the links to all the artifacts in the submission (the only exception will be given to those papers that replicate the results on proprietary datasets that can not be publicly released). Submission Instructions Submissions must be original, in the sense that the findings and writing have not been previously published or under consideration elsewhere. However, as either replication studies or negative results, some overlap with previous work is expected. Please make clear in the paper the overlap with and difference from previous work. All submissions must be in PDF format and conform, at time of submission, to the IEEE Computer Society Format Guidelines: (https://www.ieee.org/conferences/publishing/templates). Authors are strongly encouraged to print the PDF and review it for integrity (fonts, symbols, equations, etc.) before submission, as defective printing can undermine a paper’s chance of success. By submitting to the ISSRE RENE Track, authors acknowledge that they are aware of and agree to be bound by the IEEE Plagiarism FAQ. In particular, papers submitted to the RENE track must not have been published elsewhere and must not be under review or submitted for review elsewhere whilst under consideration for ISSRE 2026. Contravention of this concurrent submission policy will be deemed a serious breach of scientific ethics, and appropriate action will be taken in all such cases. To check for double submission and plagiarism issues, the chairs reserve the right to (1) share the list of submissions with the PC Chairs of other conferences with overlapping review periods and (2) use external plagiarism detection software, under contract to the IEEE, to detect violations of these policies. Submissions to the RENE Track can be made via the ISSRE RENE track submission site： https://easychair.org/conferences?conf=issre2026 . Submission Length: The ISSRE RENE Track accepts submissions of two lengths: (1) New replication studies and new descriptions of negative results should have a length of up to 10 pages, plus 2 pages which may only contain references. (2) Negative results documented during the preparation of previously published work by the authors should be described in up to 5 pages, plus 1 page, which may only contain references (e.g., as previously mentioned, authors of a published paper can document negative results they obtained while working on it, such as methodologically sound solutions that did not work). Important note 1: Both types of papers (replication and negative results) will be included as part of the main conference proceedings. Important note 2: The RENE track does not follow a double-anonymous review process. Publication and Presentation Upon notification of acceptance, all authors of accepted papers will receive further instructions for preparing the camera-ready versions of their submissions. If a submission is accepted, at least one author of the paper is required to have a full registration for ISSRE 2026, attend the conference, and present the paper in person. All accepted papers will be published in the conference electronic proceedings. The presentation is expected to be delivered in person, unless this is impossible due to travel limitations (e.g., related to health or visa). Details about the presentations will follow the notifications. The official publication date is the date the proceedings are made available in the IEEE Digital Libraries. The official publication date affects the deadline for any patent filings related to published work. Purchases of additional pages in the proceedings are not allowed. Important Dates (AoE) • Submission deadline: July 5, 2026 • Notification of acceptance: August 12, 2026 • Camera-ready copy submission: August 19, 2026 • Author registration deadline: August 19, 2026 Organisation General Chairs • Leonardo Mariani, University of Milano - Bicocca, Italy • George A. Papadopoulos, University of Cyprus, Cyprus Program Coordinator • Roberto Natella, GSSI, Italy Research Program Committee Chairs • Domenico Cotroneo, UNC Charlotte, USA • Jie M. Zhang, King's College London, UK Industry Program Chairs • Jinyang Liu, Bytedance, USA • Sigrid Eldh, Ericsson AB, Sweden Workshop Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • August Shi, The University of Texas at Austin, USA Doctoral Symposium Chairs • Stefan Winter, LMU Munich, Germany • Lili Wei, McGill University, Canada Fast Abstract Chairs • Luigi Lavazza, University of Insubria, Italy • Yintong Huo, SMU, Singapore JIC2 Chair • Helene Waeselynck, LAAS-CNRS, France Publicity Chairs • Allison K. Sulivan, The University of Texas at Arlington, USA • Jose D'Abruzzo Pereira, University of Coimbra, Portugal Publication Chairs • Sherlock Licorish, Otago Business School, New Zealand • Maria Teresa Rossi, GSSI, Italy Artifact Evaluation Chairs • Naghmeh Ivaki, University of Coimbra, Portugal • Fumio Machida, University of Tsukuba, Japan Diversity and Inclusion Chair • Eleni Constantinou, University of Cyprus, Cyprus Financial Chair • Costas Pattichis, University of Cyprus, Cyprus Web Chairs • Michalis Ioannides, Easy Conferences LTD • Elena Masserini, University of Milano - Bicocca, Italy Registration Chair • Easy Conferences LTD

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[ÚLTIMA CHAMADA] XVII Encontro de Linguística de Corpus (ELC) e XIV Escola Brasileira de Linguística Computacional (EBRALC)
by Jackson Souza 19 Jun '26

19 Jun '26

*XVII Encontro de Linguística de Corpus (ELC)* *XIV Escola Brasileira de Linguística Computacional (EBRALC)* *9 a 12 de novembro de 2026, na Universidade Federal da Bahia* *ÚLTIMA CHAMADA* para ELC/EBRALC 2026, um dos principais encontros acadêmicos dedicados às relações entre linguagem, tecnologia e sociedade. Nesta edição, o evento trará como tema central: *“Linguística de Corpus, Inteligência Artificial e Transformação Digital: Dados, Métodos e Impactos Sociais na Era Digital”.* O evento [presencial] reunirá pesquisadores, estudantes e profissionais interessados em discutir os desafios e as oportunidades das tecnologias linguísticas contemporâneas, com foco em inteligência artificial, ética de dados e análise baseada em grandes volumes de informação. O *ELC* consolida-se como um espaço de divulgação científica e debate acadêmico, promovendo o intercâmbio de pesquisas sobre linguagem em contextos digitais e sociais. Já a *EBRALC* possui caráter formativo, oferecendo oficinas e minicursos voltados à aplicação prática de ferramentas de Linguística de Corpus e Processamento de Linguagem Natural. Nesta edição, o encontro será realizado na *Universidade Federal da Bahia (UFBA)*, fortalecendo a presença da pesquisa linguística baseada em dados na região Nordeste e incentivando o diálogo interdisciplinar. Compartilhem a chamada em suas respectivas instituições e programas de pós-graduação! *Indicações de temas* ● Linguística de corpus e análise baseada em dados ● Processamento de Linguagem Natural ● Modelos de linguagem e representação semântica ● Métodos computacionais e análise de dados linguísticos ● Linguagem, discurso e cultura digital ● Ética, governança e impactos sociais da IA ● Linguística de corpus aplicada ● Terminologia, Lexicografia ● Tradução ● Linguística de corpus e ensino ● Linguística de corpus e cultura digital *Datas importantes* *28/06/2026* – Submissão de trabalhos para ELC *28/06/2026* – Submissão de propostas de oficinas/minicursos para EBRALC *27/07/2026* – Resposta aos autores/proponentes *09/08/2026* – Envio das versões finais 09 a 12/11/2026 – Realização do evento *Submissão de propostas* Acesse o formulário: https://forms.gle/d8uHzNY86xWSh7YSA *Dúvidas e contato* Site do evento <https://sites.google.com/view/elc-ebralc2026/in%C3%ADcio>. elcebralc2026(a)gmail.com | acksoncruz(a)ufba.br <jacksoncruz(a)ufba.br> --

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Two PhD positions in Uncertainty Quantification and Communication for LLMs
by Christian Hardmeier 19 Jun '26

19 Jun '26

We have two open PhD positions in our project on Uncertainty Quantification and Communication for Large Language Models. Large language models (LLMs) have become immensely popular tools for laypeople and experts to find quick answers to any questions, including such that require specialized knowledge or complex reasoning. Their replies are far from always correct. Right or wrong, but often couched in a confident and persuasive tone, they may fool even experts into believing entirely false statements. Accurate and trustworthy LLM tools must know how much confidence a model has in its output and communicate this to the user in a nuanced and understandable form, respecting the principles of communication between humans. Our interdisciplinary project unites machine learning, natural language processing and linguistics. We study how LLMs acquire and verbally communicate (un)certainty, develop novel methods in Bayesian uncertainty quantification and apply them to LLMs in health applications. Using methods from linguistics, we emphasize targeted communication that gets interpreted correctly by diverse users, including laypeople and experts, and create LLMs that communicate their uncertainty according to humanlike standards. One position is in natural language processing at the IT University of Copenhagen, supervised by me and Jes Frellsen (DTU). In this position, you will develop methods to help LLMs express their uncertainty in a way that humans understand, while matching the perceived uncertainty to the model's internal state. Application deadline 24 June (very soon!). This position was advertised before. Apply here: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… The second position is in machine learning at the Technical University of Denmark, supervised by Jes Frellsen and me. In this position, you will develop efficient machine learning methods to quantify the uncertainty of large language models. This position is new. Application deadline 7 August. Apply here: https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_2… Both positions include an extended research stay at the University of Edinburgh, the first with Prof. Hannah Rohde (Linguistics) and the second with Prof. Ivan Titov (NLP/machine learning). -- Christian Hardmeier Associate Professor, IT University of Copenhagen https://christianhardmeier.rax.ch/

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CFP: 47th Translating and the Computer Conference (TC47)
by Amal Haddad 19 Jun '26

19 Jun '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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Computational Linguistics Fall School in Nuremberg, Germany (Sep 21-Oct 2)
by Michael Roth 19 Jun '26

19 Jun '26

We are excited to announce the Computational Linguistics Fall School 2026! From 21 September to 2 October 2026, the CL Fall School will take place at the University of Technology Nuremberg in Germany. The Fall School is aimed at Master's students and early-stage PhD students from linguistics and computer science who want to deepen their knowledge of Computational Linguistics and Natural Language Processing. The focus is on courses covering topics that are not typically offered in regular degree programs. The event is sponsored by the German Society for Computational Linguistics and Language Technology (GSCL) and the Special Interest Group CL of the Linguistic Society of Germany (DGfS-CL). This year, participants will join in-person courses over two weeks on the following topics: * Programming for CL and NLP * Corpus linguistics methodology * Explainable NLP * NLP and sociolinguistics Registration is now open, with early bird registration available until 15 July 2026. More information and registration: https://cl-fallschool-2026.github.io/ We look forward to welcoming you in Nuremberg! --- Prof. Michael Roth [he/him] Natural Language Understanding Lab University of Technology Nuremberg Technische Universität Nürnberg

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PhD Position in Speech Processing
by Cieliebak Mark (ciel) 19 Jun '26

19 Jun '26

Dear List Moderator It would be great if you could forward the position below to your mailing list. Best wishes Mark Dear All The Centre for AI at Zurich University of Applied Sciences is offering a 3-year PhD position in Speech Processing for Swiss German: https://www.zhaw.ch/de/jobs/offene-stellen/stelleninserat/job/detail/3800605 Start: September 2026 Requirement: Good skills in German, but Swiss German not mandatory Best wishes Mark ----------------------------------------------------------------------------------------- ZHAW Zurich University of Applied Sciences CAI Centre for Artificial Intelligence Prof. Dr. Mark Cieliebak Technikumstrasse 71, TN 03.64 CH - 8401 Winterthur, Switzerland Phone: +41 58 934 72 39 Email: ciel(a)zhaw.ch<mailto:ciel@zhaw.ch> Web: https://www.zhaw.ch/de/ueber-uns/person/ciel

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