October 2026 - Corpora

Second CFP: LoResMT 2026 at EACL 2026
by Atul K. Ojha 13 Nov '26

13 Nov '26

Apologies for cross-posting --------------------------------------------------------------------------- *The Ninth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2026)* *https://www.loresmt.org/ <https://www.loresmt.org/>* *@ EACL 2026 (March 24-29, 2026)* *Rabat, Morocco* *SUBMISSION* ARR submission link: https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResMT *TIMELINE* - Submission deadline: December 19, 2025 (Anywhere on Earth) - Pre-reviewed (ARR) submission deadline: January 2, 2026 - Notification of acceptance: January 23, 2026 - Camera-ready paper due: February 3, 2026 (Anywhere on Earth) - Pre-recorded video due (hard deadline): February 24, 2026 - Workshop dates at EACL 2026: TBD - EACL 202 Main Conference: March 24-29, 2026 *SCOPE* Based on the success of past low-resource machine translation (MT) workshops at AMTA 2018, MT Summit 2019, AACL-IJCNLP 2020, AMTA 2021, COLING 2022, EACL 2023, ACL 2024, NAACL 2025, we introduce LoResMT 2026 workshop at EACL 2025. The workshop provides a discussion panel for researchers working on MT systems/methods for low-resource and under-represented languages in general. We would like to help review/overview the state of MT for low-resource languages and define the most important directions. Fundamental work on low-resource languages in MT and NLP is still crucial and unavoidable. We also solicit papers dedicated to supplementary natural language processing (NLP) tools that are used in any language and especially in low-resource languages. Overview papers of these NLP tools are very welcome. It will be beneficial if the evaluations of these tools in research papers include their impact on the quality of MT output. *TOPICS* We are highly interested in (1) original research papers, (2) review/opinion papers, and (3) online systems on the topics below; however, we welcome all novel ideas that cover research on low-resource languages. - Neural machine translation for low-resource languages - Work that presents online systems for practical use by native speakers - Word tokenizers/de-tokenizers for specific languages - Word/morpheme segmenters for specific languages - Alignment/Re-ordering tools for specific language pairs - Use of morphology analyzers and/or morpheme segmenters in MT - Multilingual/cross-lingual NLP tools for MT - Corpora creation and curation technologies for low-resource languages - COVID-related corpora, their translations and corresponding NLP/MT systems - Review of available parallel corpora for low-resource languages - Research and review papers of MT methods for low-resource languages - MT systems/methods (e.g. rule-based, SMT, NMT) for low-resource languages - Pivot MT for low-resource languages - Zero-shot MT for low-resource languages - Fast building of MT systems for low-resource languages - Re-usability of existing MT systems for low-resource languages - Machine translation for language preservation *SUBMISSION INFORMATION* We are soliciting two types of submissions: (1) research, review, and position papers and (2) system demonstration papers. For research, review and position papers, the length of each paper should be at least four (4) and not exceed eight (8) pages, plus unlimited pages for references. For system demonstration papers, the limit is four (4) pages. Submissions should be formatted according to the official ACL style templates (Overleaf). Please refer to the EACL submission guidelines for further information <https://2026.eacl.org/calls/papers/>. Accepted papers will be published online in the EACL 2026 proceedings and will be presented at the conference. Submissions must be anonymized and should be done using the provided submission system. Scientific papers that have been or will be submitted to other venues must be declared as such and must be withdrawn from the other venues if accepted and published at LoResMT. The review will be double-blind. Authors of an accepted paper should present their paper in person at EACL 2026. Papers should be submitted in PDF to the LoResMT Open Review. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration is handled by the main conference ( https://2026.eacl.org/registration). *Shared Tasks: * We are going to have a machine translation competition for several low resource Turkic languages, namely, Chuvash, Bashkir, Tatar and Kazakh. The pairs you can evaluate your models are: Chuvash-English, Chuvash-Russian, Bashkir-English, Bashkir-Russian, Tatar-English, Kazakh-Russian. Unfortunately, we cannot provide you with training data for these language pairs, but nevertheless you can use any data you find useful or collect by yourself. We expect you to share your findings as a report. Best reports will be included in the LoResMT proceedings. for futher information please visit to LoResMT website. *ORGANIZING COMMITTEE (LISTED ALPHABETICALLY)* Atul Kr. Ojha Chao-Hong Liu Ekaterina Vylomova Flammie Pirinen Jonathan Washington Nathaniel Oco Xiaobing Zhao *CONTACT* Please email loresmt(a)googlegroups.com if you have any questions/comments/suggestions.

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Two fully funded positions at UEF in Finland
by Mikko Laitinen 11 Nov '26

11 Nov '26

Two Fully Funded Doctoral Positions in Languages, linguistics and discourse analysis The University of Eastern Finland is pleased to announce two fully funded doctoral positions within the Marie Skłodowska‑Curie Doctoral Programme (MSCA) in Finland. While the programme broadly focuses on interdisciplinary research on the sustainable forest‑based bioeconomy, two positions are specifically dedicated to language‑related research on sustainability, nature, and discourses. Key Facts * Application period: 11 June – 10 August 2026 * Employment duration: 48 months (fulltime) * Mobility: International mobility required (MSCA rules apply) * Total project duration: April 2026 – March 2031 * More information of the programme: https://sites.uef.fi/dp-fobi/ Position 1 Environmental Discourses and the Spread of Multilingual (Dis)information in Social Networks This project invites a doctoral candidate interested in how environment‑related discourses circulate in digital social networks. The research aims to examine how discourses and (dis)information about climate, the environment, and climate‑smart solutions spread across digital media platforms. Ideal Candidate Profile * Master’s degree in linguistics (general or subfields), computational linguistics, translation studies, or a closely related discipline * Competence with large‑scale datasets and computational tools such as R or Python * Strong expertise in the nuances of language use * Excellent written and oral English skills * Ability to work in more than one language is an advantage * Must meet the language requirements of the Doctoral Programme of the Philosophical Faculty at UEF (see: https://www.uef.fi/en/degree-programme/doctoral-programme-of-the-philosophi…) Further details: https://sites.uef.fi/dp-fobi/environmental-discourses/ Position 2 Contested Conceptualizations of Forest in Bioeconomy‑Related Discourses This project focuses on how forest and nature are conceptualized in public discourses related to bioeconomy. It examines the rhetorical, metaphorical, and affective strategies used to frame forest‑based solutions to societal and environmental challenges. Ideal Candidate Profile * Master’s degree in languages, translation studies, linguistics, media studies, communication studies, cultural studies, environmental humanities, or a related field * Excellent written and oral English skills * Must meet the language requirements of the Doctoral Programme of the Philosophical Faculty at UEF (see: https://www.uef.fi/en/degree-programme/doctoral-programme-of-the-philosophi…) * Ability to work in more than one language is an advantage * Prior methodological knowledge of metaphor analysis, rhetorical analysis, or other language‑data methods is beneficial but not required Further details: https://sites.uef.fi/dp-fobi/contested-conceptualizations/ More information: Position 1: Prof. Mikko Laitinen (mikko.laitinen(a)uef.fi<mailto:mikko.laitinen@uef.fi>) and Prof. Maarit Koponen (maarit.koponen(a)uef.fi<mailto:maarit.koponen@uef.fi>) Position 2: Dr. Esa Penttilä (esa.penttila(a)uef.fi<mailto:esa.penttila@uef.fi>) and Prof. Tuija Saresma (tuija.saresma(a)uef.fi<mailto:tuija.saresma@uef.fi>) -- Mikko Laitinen, PhD Professor of English mikko.laitinen(a)uef.fi PI of COMET Weak-tie hypothesis in complex digital networks (Research Council of Finland 2024-28) PI of FIN-CLARIAH Common Language Resources and Technology Infrastructure (2022-2029) https://uefconnect.uef.fi/en/person/mikko.laitinen/ --

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Registration open: Translating and the Computer (TC47) - Luxembourg – December
by Amal Haddad 31 Oct '26

31 Oct '26

Welcome to the Translating and the Computer 2026 (TC47)! TC47 Registration is now open Register now to shape the future of translation and harness the power of technology to bridge languages and cultures. Don't miss out - the future of translation starts here! https://asling.org/tc47/registering-for-tc47/ Are You Ready to Transform Your Understanding of Translation Technology? Join us at the forefront of innovation and discussion at this year's ASLING Conference on Translating and the Computer. Connect with thought leaders, innovators, and peers who are shaping the future of our industry and leave equipped with knowledge and ideas that will propel your professional journey forward. Spaces are limited -- secure your spot now and be part of a community driving advancements in translation technology! REGISTRATION Registrations cover conference costs, such as administrative costs, catering, and other overhead costs. If you are a citizen from outside the EU or the European Economic Region, please check whether you require a visa to travel to the venue in Luxembourg. You are responsible to obtain such a visa on your own. AsLing cannot assist any persons requiring a visa to travel to Luxembourg. Registration for TC47 is as follows: * Standard Registration Contribution (11 October 2026 to 30 November 2026): EUR 365.00 * Student Registration Contribution: EUR 225.00** * Last-minute Registration Contribution (1 December 2026 to the start of TC47): EUR 400.00 * Online attendance Registration Contribution: EUR 200.00 flat rate*** *Registrations are confirmed after the bank confirms payment to AsLing. **To register as a student, you must submit a certificate confirming your full-time student status. ***Single rate for online attendance applies irrespectively of the registration date. Cancellation policy Before 1 November 2026: full refund minus EUR 50 for administrative expenses Between 1 November and 30 November 2026: EUR 50 refund From 1 December 2026 onward: NO refund. NETWORKING DINNER The TC47 N [1]ETWORKING DINNER [2] will be held on 9 December (on the 2nd day of the conference) at a restaurant close to the Conference venue. The price is EUR 85 per person. Places are restricted and will be assigned, after completed payment, on a first-come, first-serve basis. When you register for the Conference, you can register for the Networking dinner [1] as well. -- 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/networking-dinner/ [2] https://asling.org/tc47/registering-for-tc47/_wp_link_placeholder

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CALL FOR SHARED TASK PROPOSALS RANLP
by Amal Haddad 31 Oct '26

31 Oct '26

RANLP-27 16th Conference RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING Varna, Bulgaria https://ranlp.org/2027/ [1] Summer school 'Deep Learning and Large Language Models for NLP': 1-3 September 2027 (Wednesday-Friday) Tutorials: 4-5 September 2027 (Saturday-Sunday) Main Conference and Student Research Workshop: 6-8 September 2027 (Monday-Wednesday) Workshops and Shared Tasks: 9-10 September 2027 (Thursday-Friday) RANLP (Recent Advances in Natural Language Processing) is one of the most competitive NLP conferences. The event is held biennially and grew out of the International summer schools 'Contemporary topics in Computational Linguistics' which were organised for many years as international training events. Previous RANLP conferences (1995-2025) featured keynote talks by leading experts in NLP as well as presentations/papers of high quality, rigorously reviewed by a Programme Committee of well-known scientists. The Student Research Workshops (now in their 10th edition) have become active discussion fora for young researchers. Since 2009, the papers accepted at the RANLP conferences and the associated workshops have been included in the ACL Anthology. The RANLP proceedings are indexed by SCOPUS and DBLP. Since 2017, all accepted papers have DOI numbers. The conference will be preceded by a summer school 'Deep learning and Large Language Models for NLP', tutorials on current hot topics and will be followed by specialised workshops and shared tasks in advanced subfields of NLP. Confirmed RANLP'2027 keynote speakers: Barbara Plank (LMU Munich), Roberto Navigli (Sapienza University Roma), Preslav Nakov (MBZUAI Abu Dhabi), Kristina Toutanova (_Google, Seattle_), Nizar Habash (New York University, Abu Dhabi), Tharindu Ranasinghe (Lancaster University) and Salima Lamsiyah (University of Luxembourg) Shared task proposals due: 15 January 2027 Shared tasks: 9-10 September 2027 Venue: RANLP-27 will be held in Varna, the largest city on the Bulgarian Black Sea Coast, in Hotel 'Cherno Mor [2]e'. The event venue is centrally located at the entrance of the Sea Garden and offers excellent conference facilities. Varna is a major tourist destination with numerous flights to/from the Varna International Airport. CALL FOR SHARED TASK PROPOSALS Following the launch of shared tasks at RANLP-2025, we are pleased to invite proposals for shared tasks to be held at RANLP-2027. Shared tasks will take place on 9-10 September 2027, alongside the RANLP-2027 workshops. We welcome proposals on any topic of interest to the NLP community, from fundamental problems to applied, industrial or commercial challenges. We particularly encourage tasks that use or evaluate the latest NLP methods, including Large Language Models and Generative AI, as well as tasks that release new datasets, cover multiple or low-resource languages, or address problems with social impact. Onsite Presence of Organisers At least one shared task organiser must be present in Varna. This organiser will present the task overview paper, coordinate the shared task session onsite, and liaise with the RANLP-2027 Organising Committee on venue arrangements. If no organiser can attend in Varna, the shared task will be cancelled. Where possible, its accepted papers will be moved to a related RANLP-2027 workshop. Participation, Registration and Presentation Each participating team that submits a system description paper must have at least one author register for RANLP-2027 and pay the registration fee. That author must present the system at RANLP-2027 in Varna. Papers from teams that do not register and present may be excluded from the proceedings. Each accepted shared task receives one free full registration to RANLP-2027 for one of its organisers. It covers the summer school, tutorials, main conference, all workshops, the reception and the conference dinner. Any further organisers must register and pay the standard fee. The RANLP-2027 Organising Committee cannot provide any other financial support to shared task organisers or participants. Please note that the free registration does not cover publication. At least one author of the task overview paper must register for RANLP-2027 and pay the standard fee for the overview paper to be included in the RANLP-2027 proceedings, as for system description papers. Publication The task overview paper and the accepted system description papers will be published as part of the RANLP-2027 conference proceedings, with ISBN numbers and DOIs, and included in the ACL Anthology. The RANLP proceedings are indexed by SCOPUS and DBLP. Submission and Reviewing Platform All RANLP-2027 shared tasks must use START for paper submission, reviewing and camera-ready collection. The RANLP-2027 proceedings for the ACL Anthology, covering the main conference and all workshops and shared tasks, are generated from START, so each shared task's submissions, review records and proceedings must be managed there. The RANLP-2027 organisers will set up a START submission portal for every accepted shared task. Important Dates Shared task proposals due: 15 January 2027 Shared task selection notification: 25 January 2027 Task website and first call for participation due: 15 February 2027 Training data release (suggested): 1 March 2027 Test data release and evaluation period (suggested): 1-15 April 2027 System description paper submission (suggested): 30 April 2027 Overview paper draft due to RANLP shared task chairs (suggested): 31 May 2027 Paper acceptance notification (suggested): 5 June 2027 Camera-ready papers (suggested): 30 June 2027 Final camera-ready papers due to RANLP publication chairs (firm): 31 July 2027 Shared tasks at RANLP-2027: 9-10 September 2027 _All deadlines are 23:59 Anywhere on Earth (UTC-12)._ Proposal Requirements Proposals must be prepared using the RANLP-2027 shared task proposal template, available on Overleaf: https://www.overleaf.com/read/ybkqbbbrdgng#6dee3c. They should be no longer than five pages (including information about the organisers and references) and must include the following: * Title, acronym, and a short description of the task, its motivation, and why it is timely and important for the NLP community. * A precise task definition, including the input and output format and any subtasks or tracks. * The data: source, size, languages, annotation procedure and quality control, licensing, and whether the training, development and test data are already available or still to be created. * The evaluation: metrics, the evaluation platform (e.g. CodaBench, Kaggle), and the baseline systems that will be provided. * The expected number of participating teams, the target audience, and how the task will be publicised. * Related shared tasks held in the last three years (e.g. at SemEval, WMT, or RANLP-2025) and how the proposed task differs from them. If the task has run before, give the number of previous editions and the number of participating teams. * A task timeline consistent with the important dates above. * How system description papers will be reviewed in START (for example, peer review among participating teams, with additional reviewers if needed). * Ethical considerations, including data privacy, consent, and potential misuse, where relevant. * Names and contact details (web page and email address) of the organisers, with a description of their experience in the task topic and in organising shared tasks or related events. Name the organiser(s) who will be present in Varna. Responsibilities of the Shared Task Organisers * Setting up and maintaining the task website, and distributing the calls for participation; * Releasing the training, development and test data and the baselines, and running the evaluation; * Running the submission and review of system description papers in START (teams are normally asked to review each other's papers), and notifying authors; * Writing the task overview paper, which describes the task, the data, the participating systems and the results; * Checking camera-ready papers and delivering them, in the format required by the RANLP-2027 publication chairs, for inclusion in the RANLP-2027 proceedings no later than 31 July 2027; * Making sure at least one organiser is in Varna to present the overview paper, run the shared task session, and coordinate venue arrangements with the RANLP-2027 Organising Committee. Responsibilities of the RANLP-2027 Organising Committee * Linking to the shared task web page from the conference website; * Providing a START submission portal to every shared task; * Publishing the overview and system description papers in the RANLP-2027 proceedings with ISBN numbers, registering DOIs for all accepted papers, and including them in the ACL Anthology; * Providing the venue for the shared task sessions; * Organising registration, audio/visual support, coffee breaks and Internet access. Proposal Submission Please prepare your proposal using the RANLP-2027 shared task proposal template and upload it via this form https://docs.google.com/forms/d/e/1FAIpQLSdLHSrccuuwjGpgMvgGkJgtKKO-WzZcnJ1… by 15 January 2027. Template: https://www.overleaf.com/read/ybkqbbbrdgng#6dee3c Evaluation Proposals will be reviewed against the following criteria: * Relevance, importance and timeliness of the task; * Quality, availability and licensing of the data, and soundness of the evaluation; * Completeness, clarity and quality of the proposal; * Organisers' experience in the task topic; * Viability of the task, including the expected number of participants and plans for onsite organisation in Varna. Tharindu Ranasinghe, Lancaster University, UK (Workshops and Shared tasks Co-Chair, Summer School Co-Director) Saad Ezzini, King Fahd University of Petroleum & Minerals, Saudi Arabia (Sponsorship Chair and Shared tasks Co-Chair) -- 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://ranlp.org/2027/ [2] http://www.chernomorebg.com/

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[1st CFP] The 5th Workshop on Artificial Intelligence for Scientific Publications (WASP 2027)
by ACL Announcements 31 Oct '26

31 Oct '26

(Apologies for cross-posting) ==================================================================== First CALL FOR PAPERS The 5th Workshop on Artificial Intelligence for Scientific Publications (WASP 2027) Co-located with NAACL 2027 June 1-5, 2027, San Francisco, USA (in person) Website: https://ui.adsabs.harvard.edu/WIESP/2027/ [1] Submissions (OpenReview): TBA ==================================================================== OVERVIEW We are delighted to announce that the 5th edition of the Workshop on Artificial Intelligence for Scientific Publications (WASP 2027) will be held in person at NAACL 2027 in San Francisco. WASP brings together researchers working at the intersection of NLP, machine learning, and the scientific publishing ecosystem, from authoring and peer review to the discovery, extraction, and synthesis of scientific knowledge. The scientific literature now grows faster than anyone can read it, and the claims, evidence, entities, relations, and citations that researchers rely on remain locked in unstructured text. As large language models become deeply embedded in how research is written, reviewed, and read, WASP 2027 invites contributions that advance both the capabilities and the trustworthiness of these systems. This iteration places a sharpened focus on interpretable and explainable scientific reasoning: understanding not just what a system concludes, but why, and whether that conclusion can be trusted and verified, reflected directly in our shared task. WASP continues a series that began as the Workshop on Information Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022 and IJCNLP-AACL 2023, grew into WASP at IJCNLP-AACL 2025 and 2026, and now comes to NAACL 2027. TOPICS OF INTEREST (not limited to) - Interpretable and explainable scientific reasoning (the sharpened focus of this iteration): explainable and verifiable hypothesis generation, faithfulness and attribution for scientific claims, uncertainty quantification, and human-in-the-loop evaluation of AI-assisted discovery - The prevalence and impact of AI-generated ("AI slop") content in scientific publications, and its effects on research integrity, quality, and trust - The roles and responsibilities of the different stakeholders (authors, reviewers, editors, publishers, and readers) in an AI-assisted publishing ecosystem - Scientific document parsing and structured information extraction; citation context/span extraction and citation-based knowledge mining - Scientific named-entity recognition and concept identification - Scientific literature quality assessment and automated peer review assistance - Argument extraction and scientific discourse analysis - Scientific article summarisation and headline generation - Question-answering and fact retrieval from scientific literature - Pretraining and fine-tuning LLMs on scientific corpora - Evaluation and alignment of LLMs for scientific understanding - AI-assisted scientific discovery and hypothesis generation - Cross-lingual scientific knowledge transfer and multilingual publication processing - Scientific trend analysis and research gap identification - Reproducibility and replicability analysis in scientific publications - Ethical and responsible use of LLMs in scientific publishing - Automated metadata generation and semantic tagging of scientific publications - Scientific plagiarism detection and research integrity monitoring - Scientific collaboration network analysis and co-authorship prediction - Automated scientific writing assistance and manuscript generation - Scientific image and figure analysis in publications SUBMISSION Long papers: up to 8 pages of content (9 in the camera-ready), plus unlimited references. Short papers: up to 4 pages of content (5 in the camera-ready), plus unlimited references. All submissions are double-blind and must follow the host venue formatting guidelines and ACL template files. We follow NAACL 2027 policies on anonymity, preprints, and double submissions. Accepted papers will appear in the WASP 2027 proceedings in the ACL Anthology. Submit via OpenReview: TBA SHARED TASK WASP 2027 will host a shared task, this year centered on interpretable and explainable scientific reasoning. Details and a separate call for papers will be announced soon. System description papers will undergo light peer review and appear in the proceedings. IMPORTANT DATES (Anywhere on Earth) Paper submission deadline (WASP): February 5, 2027 Registration deadline for shared task: (to be determined) Notification of acceptance (WASP):(to be determined) Camera-ready deadline (WASP + Shared Task): (to be determined) Workshop: June 1-5 (to be determined), 2027 ORGANIZERS - Atilla Kaan Alkan, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA - Tirthankar Ghosal, Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA CONTACT For inquiries: Atilla Kaan Alkan, atilla.alkan(a)cfa.harvard.edu We look forward to your contributions. Links: ------ [1] https://ui.adsabs.harvard.edu/WIESP/2027/

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Survey on AI tool use in NLP research
by dasha.hryhoryeva＠yandex.com 30 Oct '26

30 Oct '26

Dear Colleagues, UKP Lab is running a survey on how researchers in NLP and AI use AI tools in their own research (for ideas, literature, code, analysis and writing), how far they let AI agents work on their own, and how this is changing our field. We're especially interested in whether early-career researchers and experienced researchers use AI differently, and what this means for how students and supervisors work together. We'd like to hear from everyone in the NLP and AI research community, at any career stage, whether you use AI a lot, a little or not at all. Take the survey: https://umfragen.tu-darmstadt.de/ai_in_research_practice 填写问卷：https://umfragen.tu-darmstadt.de/ai_in_research_practice?lang=zh-Hans Why it matters Our community is setting rules for AI use right now: in papers, in reviewing, and in supervision. These decisions are often made without data on how researchers actually work. Your answers will help change that. We'll share the findings openly with the community and bring them to the people shaping these policies, such as conference organizers and committees working on AI-use guidelines. What you get Be among the first to see the results and find out how your own use of AI compares with your peers. The survey takes about 15-20 minutes and is anonymous. It would help us a lot if you could forward this email to your group and colleagues. Thank you! Dasha Hryhoryeva, Iryna Gurevych (UKP Lab, TU Darmstadt) Saif M. Mohammad (National Research Council Canada) Contact: darya.hryhoryeva(a)tu-darmstadt.de

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3rd CfP: Computer Speech & Language Special Issue in Conjunction with INLG 2026
by Saad Mahamood 30 Oct '26

30 Oct '26

Dear colleagues, We are pleased to announce a forthcoming Special Issue of Computer Speech & Language on: Spoken Language Generation: Methods, Evaluation, and Applications. The special issue is organised in conjunction with INLG 2026 and will focus on research at the intersection of natural language generation and speech technology. Topics of interest include, but are not limited to: Content planning, dialogue act realisation, surface realisation, and end-to-end approaches to spoken language generation Language generation for text-to-speech and speech-to-speech systems Prosody-, emotion-, persona-, and audience-aware spoken language generation Multimodal generation involving speech, gesture, gaze, and embodied interaction Spoken language generation in multilingual, cross-lingual, code-switching, and low-resource settings Evaluation of spoken NLG Robustness, factuality, safety, and responsible deployment of spoken language generation systems The strongest papers accepted at INLG 2026 will have the opportunity to submit an extended versions of their work to the special issue. Submissions are also warmly welcomed from the wider research community and are not limited to INLG 2026 participants. Submission deadline: 31 December 2026 Review process: rolling review, beginning immediately upon receipt of each submission Editorial decisions: no later than two months from the submission date of each paper Further information and submission details: https://www.sciencedirect.com/special-issue/336863/spoken-language-generati… We would be grateful if you could circulate the call among colleagues and others who may be interested. Best wishes, Guest Editors: Chenghua Lin, University of Manchester Chao Zhang, Tsinghua University Anton Ragni, University of Sheffield Chenghao Xiao, Shanghai University of Finance and Economics Saad Mahamood, Shopware

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[EXTENDED DEADLINE] 3rd Call for Papers for the Special Track on Challenges in Pretraining
by Marco Antonio Stranisci 30 Oct '26

30 Oct '26

-------------------------------------------------------------------------------------- Third Call for Papers for the Special Track on Challenges in Pretraining -------------------------------------------------------------------------------------- Deadline: 31st October 2026 31st December 2026 Website: https://jair.org/index.php/jair/specialtrack_pretrain Contact: marcos(a)itu.dk OVERVIEW -------------------------------------------------------------------------------------- The invention of Large Language Models (LLM) determined a paradigm shift in machine learning, which changed its focus from task-specific training of systems to their self-supervised pretraining on large data resources. This turn had a broad impact in Artificial Intelligence (AI) research, as it raises new challenges in the design and development of Machine Learning systems. Whilst the growing interest in language modeling is driving rapid innovation, research on pretraining remains fragmented. Training LLMs is a highly intersectoral endeavor that raises research challenges spanning a wide range of topics, addressed by multiple communities involved in the design of these technologies. However, the resulting research outputs are scattered across many venues, limiting a comprehensive understanding of the general challenges related to pretraining. The special track addresses this gap seeking submissions on the state of the art and existing challenges on pretraining. Specifically, the track focuses on the following broad content areas: ● *Pretraining Datasets*. The quality of pretraining datasets is crucial for developing LLMs. Recent research focuses not just on larger datasets but on data selection strategies aimed to improve performance efficiently. Data quality is also tied to governance in pretraining pipelines, requiring strong stewardship and archival practices. Methods like active learning and data minimization help reduce the amount of data needed while maintaining high-quality pretraining. ● *Model Architectures*. A large body of research explores what and how LLMs learn during pretraining, including studies on uncertainty, multilingual and token-free learning, and Mixture of Experts methods. It also examines architectural innovations: although autoregressive models dominate, alternatives such as neuro-symbolic and spiking neural networks aim to create more cognitively inspired learning approaches. ● *Computational Resources*. The growing computational need of training LLMs strongly influences pretraining strategies. Approaches like federated learning support distributed training while protecting data ownership and shaping model representations. Efficiently distributing computational loads to possibly heterogeneous platforms remains a complex optimization problem itself while alternative methods focus on training models under constrained computational budgets. This special track seeks contributions on the following, non-exhaustive list of topics: ● Advanced data selection and filtering strategies for pretraining ● Data stewardship and archival practices of pretraining data ● Data minimization and Active Learning approaches ● Neurosymbolic and cognitively inspired learning architectures ● Quantification and analysis of uncertainty in pretraining ● Tokenizer-free and alternative input representation approaches ● Distributed and federated learning for large-scale pretraining ● Language modeling under low-computational settings ● Benchmarking and resource efficiency analyses in pretraining The special track welcomes submissions that introduce innovative methodological contributions relevant to its topics. Papers that primarily rely on standard methods or established benchmarks fall outside the scope of this track. KEY DATES -------------------------------------------------------------------------------------- JAIR special tracks have a submission window. Papers can be submitted anytime during that window. They are reviewed as they arrive and accepted papers will go to production and will be published asynchronously as soon as they are ready, first as part of a usual JAIR pipeline and later on a JAIR webpage dedicated to the special track. *Target timeline*: ● Submission period: April 30, 2026 - October 31, 2026 ● First round of review and authors' notification: December 2026 ● Resubmissions: February 2027 ● Second round of review and authors' notification: April 2027 ● Final manuscripts: June 2027 Accepted submissions will be added to this page on publication. TRACK EDITORS -------------------------------------------------------------------------------------- Golnoosh Farnadi, McGill University Ferdinando Fioretto, University of Virginia Lucie Flek, University of Bonn Raphael Fischer, TU Dortmund Marco Antonio Stranisci, IT University of Copenhagen ---- Marco personal website: https://marcostranisci.github.io/

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Edge Hill Corpus Research Group: Meeting #21
by Costas Gabrielatos 30 Oct '26

30 Oct '26

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Friday 6 November 2026, 2:00 pm (GMT<https://time.is/United_Kingdom>). Topic: Corpus Linguistics and Translation Speaker: Łukasz Grabowski<https://repo.uni.opole.pl/info/author/UO47c1f51814f54d4b88f1f99f5d9541a5?> (University of Opole, Poland) Title: On corpus-based modelling of translator's responses to repetitions The abstract and registration link are here: https://sites.edgehill.ac.uk/crg/next Attendance is free. Registration closes on Wednesday 4 November. If you have problems registering, or have any questions, please email the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>). ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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MTUOC: A Practical Course on Machine Translation Technologies
by Sergi Álvarez Vidal 30 Oct '26

30 Oct '26

ear Colleague, We would like to share information regarding a free online course titled "MTUOC: A Practical Course on Machine Translation Technologies," organized by Antoni Oliver and Sergi Álvarez-Vidal, based on open-access training materials developed for the MTUOC suite. While the course is self-paced and publicly available, the first module officially launches on November 2, 2026. This initial launch features direct instructor support, Q&A sessions, and interactive discussion via a dedicated Discord server. Complete course details, syllabus, and registration access are available at:https://mtuoc-course.github.io/MTUOC-course/ [Image]<http://www.uab.cat/> [Image] Sergi Àlvarez-Vidal Departament de Traducció i d'Interpretació i d'Estudis de l'Àsia Oriental FTI, Edifici K, Despatx 1018 Campus de la UAB · 08193 Bellaterra (Cerdanyola del Vallès) · Barcelona · Spain

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