October 2025 - Corpora

CFP: The Seventh Workshop on Teaching NLP
by ACL Announcements 04 Dec '25

04 Dec '25

The Seventh Workshop on Teaching NLP Call for Papers Educators designing Natural Language Processing (NLP) and/or Computational Linguistics (CL) courses and degree programs face unique challenges due to the rapid progress of the field, particularly with the impact of generative AI and Large Language Models (LLMs). Here, the challenge is two-fold: A) courses need to keep up with the pace in terms of the content covered, while B) it will be crucial for educators to adapt the course design accordingly, acknowledging the existence and the use of LLMs by students. To support all those who are facing these challenges, we are planning a discussion-heavy one-day workshop to bring together the communities of NLP research and education, and facilitate active discussion on questions such as (but not limited to): * How can we balance technical details, linguistic background, and domain knowledge in NLP-related courses? * How do we keep the human in the loop? * How can the community support educators at different institutions and career levels? This timely seventh edition of the Teaching NLP Workshop builds on prior successful offerings [1] to tackle the most pressing issues in how to design NLP courses and bring together instructors from various backgrounds to discuss, create, and refine instructional design and material. Submission Information We invite submissions in two categories: short papers (2 pages) on teaching materials and full papers (8 pages) on original, unpublished research (both regular research papers and position papers). Format All submissions must use the official ACL LaTeX style template [2] and follow the standard ACL submission requirements [3]. References and appendices do not count against the page limit (8 pages). Limitations and ethical considerations are optional and do not count against these limits either. Papers that do not conform to these requirements will be desk-rejected without review. Submission Process For submission and the review process, we will use OpenReview. If you do not have an OpenReview account yet, make sure to create it well in advance of the deadline. This is especially important, as in some cases, the approval of the account may take some time. The reviewing process will be single-blind. Submission Link (OpenReview): tbd Submission Type 1: Short Papers on Teaching Materials We invite submissions of short papers of 1-2 pages that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework, programming assignments, or projects. These short papers need not be anonymized, but will be peer-reviewed and published as part of the workshop proceedings, and presented as posters and/or demos. The associated teaching materials, while not being part of the proceedings, should be submitted in addition to the short paper. We will create a Teaching NLP repository where authors may opt in to make their materials available for reuse after the workshop. Submission Type 2: Full Papers We invite papers of up to 8 pages discussing pedagogical aspects of NLP, focusing on (but not limited to) any of the following general topics: * Tools and methodologies (e.g., teaching with code, active learning, flipped classroom) * Scaling curricula to fit large class sizes * Adapting existing curricula to incorporate new NLP advancements * Teaching online NLP courses or adjusting courses to become remote * Challenges of designing the first NLP course or related degree program at a college, university, or on a MOOC platform * Teaching heterogenous groups of students (e.g., with respect to prior experience in computer science and linguistics, with respect to their social and cultural background, etc.) * Teaching underrepresented students * Bridging the gap between academic training and industry needs * Incorporating ethics, reproducibility, and responsible practices in NLP courses * Teaching multilingual NLP Important Dates * First Call for Papers: October 15, 2025 * Paper Submission: December 19, 2025 * Notification of Acceptance: January 23, 2026 * Camera-Ready Deadline: February 3, 2026 * Teaching NLP Workshop: 1 day workshop co-located with EACL (March 24 to 29, 2026) All deadlines are 23:59 AoE (anywhere on earth). Links: ------ [1] https://sites.google.com/view/teachingnlpacl2024 [2] https://github.com/acl-org/acl-style-files [3] https://aclrollingreview.org/cfp

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Advance notice: ‘Statistics for linguistics with R’ bootcamp (08 – 12/07/2024)
by Magali Paquot 01 Dec '25

01 Dec '25

The Linguistics Research Unit of the Institute of Language and Communication (Université catholique de Louvain, Belgium) will be hosting Stefan Gries’s next bootcamp on statistics for linguistics with R from 08 to 12 July 2024. The ‘Statistics for linguistics with R’ bootcamp is a hands-on introduction to statistical methods for both graduate students and seasoned researchers and is loosely based on the third edition (2021) of Gries’s textbook Statistics for linguistics with R. The course is intended for linguists who already have a basic knowledge in statistics and some experience using R and who wish to improve their proficiency in statistical modeling of linguistic data. Using the open source software and programming language R, we will deal with: • fundamental aspects of fixed effects regression modeling for both numeric and binary response variables; these include exploration of data and their preparation for modeling, model formulation and selection; numerical and visual interpretation and evaluation of models; • more advanced aspects of fixed-effects regression modeling such as contrasts for ordinal predictors, orthogonal contrasts, curvature of numeric predictors, and maybe general linear hypothesis tests; • the theoretical foundations of mixed-effects regression modeling; • applications of mixed-effects modeling for both numeric and binary response variables; • tree-based methods and random forests: 'fitting' and interpreting them with importance scores, partial dependence scores, and detecting (not just capturing) interactions. The website of the bootcamp will be online in early 2024 and online registration will start on 1 March 2024, 11 am CEST. The number of participants is limited. If you would like to participate, mark the date in your diary! Contact email: magali.paquot(a)uclouvain.be<mailto:magali.paquot@uclouvain.be> Magali Paquot Convenor

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1st Smarter Extraction of ScholArly MEtadata using Knowledge Graphs and Language Models (SESAME) Workshop
by Ansgar Scherp 09 Nov '25

09 Nov '25

Dear all. The following new JCDL workshop might be of interest to you: **1st Smarter Extraction of ScholArly MEtadata using Knowledge Graphs and Language Models (SESAME) Workshop** - during JCDL 2025 (Virtual Event) - to be held on 15-19, December 2025 > SESAME brings together researchers and practitioners to explore how AI-driven curation approaches leveraging large language models and knowledge graphs to strengthen digital libraries infrastructures. https://sesame-workshop.github.io/SESAME/ Deadline for submissions is **Friday, November 7th, AoE** Topics of interest include: - Research Artifacts Metadata Modeling and Granularity - Large Language Models (LLMs) and NLP for Metadata - Knowledge Graphs and Linked Data - Digital Libraries and Infrastructure - Societal, Ethical Impact and Future Policy Directions Please consider submitting. The event is fully online, so the barrier to entry is low. The organizers are also explicitly inviting applied papers.

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CfP: 1st Workshop on Human-LLM Collaboration for Ethical and Responsible Science Production (SciProdLLM 2025)
by Tristan Miller 31 Oct '25

31 Oct '25

SciProdLLM 2025: 1st Workshop on Human-LLM Collaboration for Ethical and Responsible Science Production December 23/24, 2025, Mumbai, India Co-located with IJCNLP-AACL 2025 https://sciprodllm.github.io/ CALL FOR PAPERS SciProdLLM 2025 is a forum for presenting and discussing research on integrating large language models (LLMs) into the typical research workflow: from ideation to experimentation to scientific writing, with a particular focus on human-centered approaches that ensure ethical and responsible use of LLMs. We also invite work that evaluates the quality of LLM-assisted research workflows and the resulting outputs. We welcome submissions on any aspect of human-LLM collaboration for science production, evaluation of LLMs for science production, and/or evaluation of LLM-assisted scientific papers. Relevant topics include, but are not limited to, the following: - Guiding idea generation through user feedback - Automated experimentation following the experimental workflow used by human scientists (e.g., the workflow from data preprocessing to comparison to baselines) - Human-curated datasets of scientific papers for fine-tuning LLMs for generating ideas and paper content (text, figures, tables, etc.) - Human-LLM co-authored peer reviews (e.g., LLM-assisted peer review platforms) - Benchmark datasets for evaluating LLMs on idea generation, experimentation, multimodal content generation, or scientific writing - Evaluation metrics for detecting problematic papers (e.g., those containing suspicious citations or tortured phrases) - Statistical analyses of collections of LLM-assisted papers (e.g., on topics, citations, or retractions) SUBMISSION INSTRUCTIONS SciProdLLM 2025 welcomes long and short papers. Long papers may consist of up to 8 pages of content, plus unlimited pages of references. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Both types of submissions must follow the same requirements and procedures as for IJCNLP-AACL 2025 main conference papers: <https://2025.aaclnet.org/calls/main_conference_papers> Note that papers submitted as non-archival will be allocated presentation time at the workshop but will not be included in the proceedings. There are three supported submission modes: - Direct submissions: Direct submissions will receive up to three double-blind reviews, and a final decision on acceptance from the workshop organizers. Direct submissions should be made through the SciProdLLM page on OpenReview: <https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2025/Workshop/SciPro…> - ARR submissions: Unpublished papers that have already been reviewed and meta-reviewed through ACL Rolling Review may be committed to SciProdLLM. These papers will not receive new reviews but may be meta-reviewed by the workshop organizers, who will make a final decision on acceptance. A commitment link will published in a future version of this call. - Previously published papers: We invite non-archival submissions of papers that have already been recently published elsewhere. This allows such papers to gain more visibility from the workshop audience. To submit a previously published paper for presentation, please email SciProdLLM(a)groups.io with the details of your paper (title, authors, abstract, publication venue) and attaching a PDF copy of the paper. (Submissions of previously published papers need not adhere to the IJCNLP-AACL 2025 main conference paper policies on anonymity.) IMPORTANT DATES All deadlines are 23:59 UTC−12 ("Anywhere on Earth"). - September 29, 2025: Submission deadline for direct submissions - October 27, 2025: ARR commitment deadline - November 3, 2025: Notification of acceptance - November 11, 2025: Camera-ready papers due - December 23 or 24, 2025: Workshop presentations (exact date TBA) ORGANIZING COMMITTEE - Wei Zhao, University of Aberdeen, UK - Jennifer D’Souza, TIB Leibniz Information Center for Science and Technology, Germany - Steffen Eger, University of Technology Nuremberg, Germany - Anne Lauscher, University of Hamburg, Germany - Yufang Hou, IT:U Interdisciplinary Transformation University, Austria - Nafise Sadat Moosavi, University of Sheffield, UK - Tristan Miller, University of Manitoba, Canada - Chenghua Lin, University of Manchester, UK CONTACT INFORMATION Email: SciProdLLM(a)groups.io WWW: https://sciprodllm.github.io/ -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://clam.cs.umanitoba.ca/ | Tel. +1 204 474 6792

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Postdoc position at Chalmers University of Technology
by Richard Johansson 31 Oct '25

31 Oct '25

We are hiring a postdoc at the Department of Computer Science and Engineering at Chalmers University of Technology in Gothenburg, Sweden. All people with a background in NLP are welcome to apply, We are particularly interested in applicants with a background in interpretability, evaluation, or computational social science. You can find more details on the application page: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=jo… If you are thinking of applying and would like to discuss about the position, please contact me (richard.johansson(a)cse.gu.se). The deadline for applying is December 1. Best regards, Richard Johansson

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Responsible AI in 2025: State of the Art and Future Directions
by Matt Lease 31 Oct '25

31 Oct '25

*Responsible AI in 2025: State of the Art and Future Directions* November 18-19 Free zoom webinar https://responsibleai2025.splashthat.com/ Join the conversation as prominent researchers and AI leaders reflect on both progress and open challenges in developing Responsible AI technologies for society. This two-day virtual conference will feature keynotes and panels that share research-based insights and learnings, explore applications across disciplines and sectors, and invite audience questions. -- *MATT LEASE (he/him) * Professor | School of Information Co-Director | NSF-Simons AI Institute for Cosmic Origins <https://oden.utexas.edu/news-and-events/news/New-CosmicAI-Institute-led-by-…> Leadership Team | UT Good Systems <http://goodsystems.utexas.edu/> (Responsible AI Initiative) Principal Investigator | Protecting Information Integrity <https://goodsystems.utexas.edu/information-integrity> *The University of Texas at Austin* p 512.471.9350 <%28512%29%20471-9350> | f 512.471.3971 | office: UTA <https://utdirect.utexas.edu/apps/campus/buildings/nlogon/maps/UTM/UTA/> 5.536 mattlease.com | X @mattlease <https://x.com/mattlease> | Lab <https://mattlease.com/lab/> | Pubs <https://mattlease.com/publications/> | CV <https://utexas.box.com/v/matt-lease-cv> [image: Good Systems: Ethical AI at UT Austin] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> *Be part of the global conversation November 18 & 19 on Zoom* Join the conversation as prominent researchers and AI leaders reflect on both progress and open challenges in developing Responsible AI technologies for society. This two-day virtual conference will feature keynotes and panels that share research-based insights and learnings, explore applications across disciplines and sectors, and invite audience questions. This event is free and open to the public. Register Today <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> Come ready to learn, ask questions, and share resources and ideas. Keynote Speakers Ece Kamar *VP and Lab Director of AI Frontiers* *Microsoft Research* Read Bio <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> Ken Fleischmann *Professor and Interim Associate Dean for Research* *School of Information & Good Systems Chair, UT Austin* Read Bio <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> Register Today <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> Get Involved *Good Systems* <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>* is a research grand challenge at The University of Texas at Austin. We're a team of information and computer scientists, robotics experts, engineers, humanists and philosophers, policy and communication scholars, architects, and designers, all dedicated to embedding ethics in AI. Our goal is to design AI technologies that benefit society. Follow us on **X (Twitter* <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> *)* <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> * and **LinkedIn* <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>*, join us at our **events* <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>*, learn about **partnership opportunities* <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>*, and visit our **news page* <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>* for updates.* Stay Connected [image: Twitter icon] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> [image: Website icon] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> [image: Email icon] <mailto:goodsystems@austin.utexas.edu> [image: LinkedIn icon] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> Want to change how you receive these emails?

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Webinar by: Ivan Vulić (University of Cambridge / Google DeepMind)
by HiTZ Zentroa 31 Oct '25

31 Oct '25

**** We apologize for the multiple copies of this email. In case you are already registered to the next webinar, you do not need to register again. **** Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). We are organizing one seminar every month. Next webinar: Speaker: Ivan Vulić (University of Cambridge / Google DeepMind) Title: On Merging and MoErging Models and Modules Date: Thursday, November 6, 2025 - 15:00 CET Summary: Despite recent tendencies towards building large "monolithic" neural models, fine-tuned expert models and parameter-efficient specialised modules still offer gains over large monoliths in specific tasks and for specific data distributions (e.g., low-resource languages or specialised domains). Moreover, such modularisation of skills and expertise into dedicated models or modules allows for asynchronous, decentralised, and more efficient continuous model development, as well as module reusability. However, a central question remains: how to combine and compose these modules to enable positive transfer, sample-efficient learning, and improved out-of-domain generalisation. In this talk, after discussing the key advantages of modularisation and modular specialisation, I will provide an overview of prominent module and model composition strategies. I will focus on composition at the parameter level (model merging) and functional level (model MoErging), and then illustrate the usefulness of these techniques across several applications. Bio: Ivan Vulić is currently a Research Scientist at Google DeepMind in Zurich after spending a year there as a Visiting Researcher. Before that he was a Research Professor and a Royal Society University Research Fellow in the Language Technology Lab, University of Cambridge, where he spent 10 years across different research roles. From January 2018 until November 2024 he was also a Senior Scientist at PolyAI in London. Ivan holds a PhD in Computer Science from KU Leuven awarded summa cum laude. In 2021 he was awarded the annual Karen Spärck Jones Award from the British Computing Society for his research contributions to Natural Language Processing and Information Retrieval. His core expertise and research interests span, among others, cross-lingual, multilingual and multi-modal representation learning, modularity and composability of ML models, sample-efficient, parameter-efficient and few-shot ML, conversational AI, data-centric ML. Registration: https://www.hitz.eus/webinar_izenematea You can view the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Upcoming webinars: Goran Glavaš (December 4) Thamar Solorio (January 15) Henning Wachsmuth (February 5) Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa P.S: HiTZ will not grant any type of certificate for attendance at these webinars.

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Postdoctoral Researcher in Memory Access in Language - Utrecht University
by Takmaz, E.K. (Ece) 31 Oct '25

31 Oct '25

Dear all, There is a two-year postdoctoral position opening in the ERC-funded project 'Memory access in language (MEMLANG): How we store and retrieve linguistic information', led by Jakub Dotlacil, at the Institute for Language Sciences (ILS), Utrecht University. The application deadline is November 9, 2025. See the link below for details: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/postdo… Best regards, Ece https://ecekt.github.io/

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Job: Mission de recrutement et gestion de locuteurs en langue française (H/F)
by info＠elda.org 30 Oct '25

30 Oct '25

[Apologies for multiple postings] Dans le cadre de ses activités de production, ELDA propose *plusieurs missions de recrutement (H/F) destinées à la constitution d’un corpus de données audio _en français_*. Langue concernée : français Mission * Recruter des locuteurs natifs francophones afin de réaliser des enregistrements vocaux destinés à la recherche et au développement en traitement automatique de la parole ; * Réaliser avec chacun une conversation téléphonique d’environ 8 à 10 minutes via une plateforme dédiée ; * Contrôler la qualité des enregistrements réalisés par tranche de 12 locuteurs ; * Collecter une courte vidéo (monologue face caméra de 3 à 5 minutes) produite par chaque participant recruté. Profil recherché * Locuteur natif du français ; * Excellente maîtrise de la communication orale ; * Aisance relationnelle et sens du contact. Chaque participant recruté sera gratifié pour sa contribution. Gratification : Entre 65€ et 190€ selon le nombre de locuteurs recrutés. Les candidatures doivent être adressée à dylan(a)elda.org et chomicha(a)elda.org ELDA <www.elda.org> (Evaluation and Language resources Distribution Agency, ) a pour activités principales la distribution et la production de ressources linguistiques, ainsi que l’évaluation de technologies de la langue (traduction automatique, reconnaissance de la parole, etc.).

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Second Call for Papers - International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026)
by Ranasinghe, Tharindu 30 Oct '25

30 Oct '25

𝗦𝗲𝗰𝗼𝗻𝗱 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀 - 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 ‘𝗡𝗲𝘄 𝗧𝗿𝗲𝗻𝗱𝘀 𝗶𝗻 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗶𝗻𝗴 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆’ (𝗡𝗲𝗧𝗧𝗜𝗧’𝟮𝟬𝟮𝟲) [Website - https://nettt-conference.com/2026/] The third edition of the International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026) will take place in Dubrovnik, Croatia, from 24 to 27 June 2026. The objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation and interpreting studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTIT’2026 invites all professionals who would like to learn about the new trends, present the latest work and/or share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures. The conference will include plenary presentations (research and user presentations, keynote speeches), poster sessions and panel discussions. All submitted papers will be peer-reviewed by experts, and the accepted papers will be published as open-access conference e-proceedings, which will be available at the time of the conference. 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗧𝗼𝗽𝗶𝗰𝘀 Contributions are invited on any topic related to the latest technology and practices in translation, subtitling, localisation, interpreting, machine translation and Large Language Models used in translation and interpreting. NeTTIT’2026 will feature a Special Theme Track "Future of Translation and Interpreting Technologies in the Era of LLMs and Generative AI". The conference topics include, but are not limited to (see also the special conference theme below): CAT tools - Translation Memory (TM) systems - NLP and MT for translation memory systems - Terminology extraction tools - Localisation tools Machine Translation - Latest developments in Neural Machine Translation - MT for under-resourced languages - MT with low computing resources - Multimodal MT - Integration of MT in TM systems - Resources for MT Technologies for MT deployment - MT evaluation techniques, metrics and evaluation results - Human evaluations of MT output - Evaluating MT in a real-world setting - Quality estimation for MT - Domain adaptation Translation Studies - Corpus-based studies applied to translation - Corpora and resources for translation - Translationese - Cognitive effort and eye-tracking experiments in translation Interpreting studies - Corpus-based studies applied to interpreting - Corpora and resources for interpreting - Interpretese - Resources for interpreting and interpreting technology applications - Cognitive effort and eye-tracking experiments in interpreting Interpreting technology - Machine interpreting - Computer-aided interpreting - NLP for dialogue interpreting - Development of NLP-based applications for communication in public service settings (healthcare, education, law, emergency services) Emerging Areas in Translation and Interpreting - MT and translation tools for literary texts and creative texts - MT for social media and real-time conversations - Sign language recognition and translation Subtitling - NLP and MT for subtitling - Latest technology for subtitling User needs - Analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology - User requirements for interpreting and translation tools - Incorporating human knowledge into translation and interpreting technology - What existing translators’ (including subtitlers’) and interpreters’ tools do not offer - User requirements for electronic resources for translators and interpreters - Translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed The business of translation and interpreting - Translation workflow and management - Technology adoption by translators and industry - Setting up translation / interpreting / language provider company Teaching translation and interpreting - Teaching Machine Translation - Teaching translation technology - Teaching interpreting technology - Latest AI developments in the syllabi of translation and interpreting curricula Ethical issues in translation and technology - Bias and fairness in MT - Privacy and security in cloud MT systems - Transparency and explainability of MT systems - Environmental impact on MT systems Special Theme Track - Future of Translation and Interpreting Technologies in the Era of LLMs and Generative AI We are excited to share that NeTTIT’2026 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technologies. While the new generation of Large Language Models such as CHATGPT, Gemini, Claude, DeepSeek and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency. The theme track invites studies on how LLMs perform on Translation and Interpreting Technology tasks and applications, and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following: - Changes in (and the impact on) the translators and interpreters’ professions in the new AI era, especially as a result of the latest developments in LLMs and Generative AI - Generative AI and translation - Generative AI and interpreting - Augmenting machine translation systems with generative AI - Domain and terminology adaptation with Large Language Models - Literary translation with Large Language Models - Translation for low-resourced and minority languages with LLMs - Improving Machine Translation Quality with Contextual Prompts in Large Language Models - Prompt engineering for translation - Generative AI for professional translation - Generative AI for professional interpreting 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 NeTTIT’2026 invites the following types of submissions in English: - Academic papers Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work. Short papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, work-in-progress, negative results, system demonstrations, etc. - User papers: for industry and practitioners. References to related work are optional. Allowed paper length: between 2 and 4 pages. Submission link – Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/nettit2026/user/ The conference will not consider and evaluate abstracts only. Further details on the submission procedure will be made available in the Second Call for Papers due in October 2025. The accepted papers will be published in the conference e-proceedings with assigned ISBN and DOI and made available online on the conference website at the time of the conference. 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀 Submissions due: 23 March 2026 Reviewing process: 25 March – 25 April 2026 Notification of acceptance: 28 April 2026 Camera-ready due: 25 May 2026 Conference camera-ready proceedings ready 15 June 2026 Conference: 24-27 June 2026 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗖𝗵𝗮𝗶𝗿𝘀 Gloria Corpas Pastor (University of Malaga) Ruslan Mitkov (Lancaster University and University of Alicante) Marko Tadic (University of Zagreb) 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲 𝗖𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲 𝗖𝗵𝗮𝗶𝗿𝘀 Constantin Orasan (University of Surrey) Tharindu Ranasinghe (Lancaster University) 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗵𝗮𝗶𝗿𝘀 Marie Escribe (LanguageWire and Polytechnic University of Valencia, Spain) Alicia Picazo Izquierdo (University of Alicante, Spain) 𝗣𝘂𝗯𝗹𝗶𝗰𝗶𝘁𝘆 𝗮𝗻𝗱 𝗦𝗽𝗼𝗻𝘀𝗼𝗿𝘀𝗵𝗶𝗽 𝗖𝗵𝗮𝗶𝗿 Vilelmini Sosoni (Ionian University) 𝗩𝗲𝗻𝘂𝗲 The conference will take place at the Centre for Advanced Academic Studies (CAAS) of the University of Zagreb (http://www.caas.unizg.hr/) in Dubrovnik. 𝗦𝗽𝗼𝗻𝘀𝗼𝗿𝘀𝗵𝗶𝗽 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 Companies working in the fields of translation technology, interpreting technology and/or related fields, are welcome to familiarise themselves the sponsorship opportunities that the conference offers. Please visit https://nettt-conference.com/2026/sponsors/ for more details. 𝗙𝘂𝗿𝘁𝗵𝗲𝗿 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗰𝗼𝗻𝘁𝗮𝗰𝘁 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 The conference website (https://nettt-conference.com/) will be updated on a regular basis. For further information, please email nettit2026(a)nettt-conference.com. You can also follow us on social media for updates and announcements. LinkedIn - https://www.linkedin.com/company/nettit2026/ Twitter/X - https://x.com/NeTTIT2026 Best Regards Tharindu Ranasinghe Dr Tharindu Ranasinghe | Lecturer in Security and Protection Science School of Computing and Communications | Lancaster University

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Corpora October 2025