- Corpora - ELRA lists

PhD position: AI for Science, Saarland University, Germany
by Dietrich Klakow 17 Jun '26

17 Jun '26

PhD position: AI for Science Saarland University, Germany =========================================== (Computer Science, Computational Linguistics, Bioinformatics, Physics, Mathematics or similar) In recent years a new field has emerged: AI for Science. Our group has a long and strong tradition in language modelling (several best paper awards at major NLP conferences) and is building on top of this. Our research is done in very close collaboration with the Helmholtz Institute for Pharmaceutical Research as well as the University Hospital, giving us access to exciting unique data. This position is topically open as long as it matches our group and the environment at Saarland University well. Fundamental and applied topics are equally welcome. The ideal candidate for the position would have: 1. Excellent knowledge of machine learning and deep learning 2. Excellent programming skills 3. Masters degree in Computer Science, Computational Linguistics, Bioinformatics, Physics, Mathematics, or similar 4. Successful experience working both independently and as part of a small team Salary: The PhD position will be 75% of full time on the German E13 scale (TV-L) which is about 3569€ per month before tax and social security contributions. The appointments will be for three years with a possible extension at 50% for a fourth year. Saarland University has a very strong computer science department (two Max Planck institutes, German Research Center for Artificial Intelligence) and is strong in medical/pharmaceutical research (CBI, HIPS, UKS). In both areas it is a leading location in Germany and Europe and therefore perfect for bridging from AI to science. How to apply: Please send us a letter of motivation, your CV, your transcripts, if available a list of publications, and the names and contact information of at least two references, as a single PDF or a link to a PDF if the file size is more than 5 MB. Please apply latest by July 1st, 2026. Contact: Applications and any further inquiries regarding our research should be directed to dietrich.klakow(a)lsv.uni-saarland.de <mailto:dietrich.klakow@lsv.uni-saarland.de>

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AraGenre 2026 shared task - First Call for Participation
by El-Haj, Mo 17 Jun '26

17 Jun '26

Dear all, I'm pleased to announce our new shared task at ArabicNLP @ EMNLP 2026 in Budapest, Hungry, October 24-29, 2026. AraGenre: A Hierarchical Definition-Guided Arabic Genre Classification Shared Task AraGenre is a challenging shared task designed to test how NLP systems generalise to the unseen through: • Few-shot training and development data • Cross-lingual genre definitions guiding Arabic classification • A large hidden test set of naturally occurring Arabic texts • Unseen genre-definition combinations The task addresses a wider challenge in NLP: building methods that can generalise from limited data and support languages and varieties that remain underrepresented in current NLP research. Registration now open: https://forms.gle/RAi7SpYoRD5RgUnP6 AraGenre Codabench: https://www.codabench.org/competitions/16356 Organisers: - Mo El-Haj, VinUniversty, Vietnam / Lancaster University, UK. - Saad Ezzini, KFUPM, KSA - Mustafa Jarrar, HBKU, Qatar - Shadi Abudalfa, KFUPM, KSA

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37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): Last Mile for Fast Abstracts and Project Highlights Submissions
by Announce 17 Jun '26

17 Jun '26

*** Last Mile for Fast Abstracts and Project Highlights Submissions *** 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/ (*** Submission Deadline: June 25, 2026 AoE (extended and final!) ***) (*** Proceedings to be published by IEEE ***) A Fast Abstract (FA) or Project Highlights (PH) paper is a two-page, lightly reviewed technical article. The FA/PH track at ISSRE 2026 aims to bring together researchers and practitioners working in Software Reliability Engineering (SRE) to: • Introduce early original ideas. • Discuss relevant work-in-progress and ongoing experiences. • Challenge the SRE status quo on key topics. • Present critical analyses of prior work. • Share lessons learned from real-world SRE applications. • Propose new problems from industrial or academic experience. • Describe approaches to problems of significance that may not yet have complete results. In addition to traditional Fast Abstracts, the track welcomes Project Highlights (PH) papers. PH papers are expected to disseminate results, visions, methodologies, tools, and ongoing activities from national and international research projects (e.g., European, or multi- institutional initiatives). Project Highlights may include, but are not limited to: • Overviews of funded research projects and their objectives. • Project methodologies, architectures, and experimental frameworks. • Early or intermediate results, including lessons learned and preliminary insights. • Datasets, benchmarks, tools, platforms, and other project outcomes released or in progress. • Collaboration experiences, challenges, and emerging research directions from national or international projects. Project Highlights that can stimulate discussion and collaboration within the ISSRE community are welcome. Ongoing projects and projects completed not earlier than October 2025 are eligible. Accepted contributions will be published in the Supplemental Proceedings of ISSRE 2026 and made available via IEEE Xplore. Topics of Interest Topics of interest include, but are not limited to: • Reliability, safety, maintainability, security, survivability, resilience, robustness, and other dependability attributes. • Faults (defects, bugs, etc.), errors, failures, and other dependability threats. • Reliability of all systems, applications, networks, and software, including problems, solutions, and discussions. • Metrics, measurement, assessment, monitoring, modeling, estimation, and prediction regarding reliability. • Reliability of AI-powered software systems, including large language models (LLMs), autonomous agents, and AI-enabled applications. • Other contents about software reliability, such as normative/regulatory/ethical spaces, societal aspects, etc. Presentations The presentation might be in the form of a short talk in a Fast Abstracts/Project Highlights session or a poster. Further details about presentations and posters will be shared with authors upon notification. Submission Guidelines Manuscripts must be: • submitted via EasyChair as a single Portable Document Format (PDF) file with all fonts embedded; • written in English and be formatted according to the IEEE Computer Society Format Guidelines. Papers are submitted via Easy Chair https://easychair.org/conferences?conf=issre2026 . Manuscripts must adhere to IEEE Conference Publishing Policies. Particularly, they should NOT have been previously published or be under submission elsewhere. All submissions will be screened for plagiarized material through the IEEE Cross Check portal. Contacts Please contact the Fast Abstract/Project Highlights Co-chairs (issre2026-fast- abstracts(a)easychair.org) for any questions or further clarifications. Important Dates (AoE) • Submission deadline: June 25, 2026 (extended) • Notification to authors: August 5, 2026 • Camera ready papers: 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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ACM ICMI 2026 Call for Demonstrations and Exhibits
by Gualtiero Volpe 16 Jun '26

16 Jun '26

ICMI 2026 CALL FOR DEMONSTRATIONS & EXHIBITS =============================================== 5-9 October 2026, Napoli - Italy https://icmi.acm.org/2026/ =============================================== We invite submissions for Demonstrations and Exhibits at the 28th ACM International Conference on Multimodal Interaction (ICMI 2026), taking place October 5-9, 2026, in Napoli, Italy. This track is your chance to showcase cutting-edge multimodal systems, interactive technologies, and innovative applications—from early-stage prototypes to mature products. Important Dates * Submission deadline: June 21, 2026 * Notification: July 15, 2026 * Final papers (demos): August 2, 2026 Submission guidelines: https://icmi.acm.org/2026/guidelines/ You can submit two types of contributions: * Demonstrations: 2-3 page paper (published in ACM proceedings) + video * Exhibits: Short proposal (no proceedings paper) + video All submissions require a video (<=200MB) to illustrate your system. Accepted presenters will be provided with: * Demo table & poster board * Power access * Shared wireless internet At least one author must register and attend the conference. Contacts: Micol Spitale & Josh Andres icmi2026-demo-exhibits-chairs(a)acm.org

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LxGr2026: Call for Participation
by Costas Gabrielatos 16 Jun '26

16 Jun '26

11th Symposium on Corpus Approaches to Lexicogrammar (LxGr2026) LxGr2026 will be held online on Thursday 2 and Friday 3 July 2026. Programme, abstracts, and registration (free): https://sites.edgehill.ac.uk/lxgr Registration closes in two weeks (30 June). 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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Call for Papers: Methods Fair at the IDS Annual Conference 2027 "Language and Literature"
by Roman Schneider 16 Jun '26

16 Jun '26

Apologies for cross-posting. The Call for Papers below is provided in German, as it concerns a conference event dedicated to methods and resources for research on the German language. Please feel free to forward it to interested colleagues. ------------ Methodenmesse auf der IDS-Jahrestagung 2027: "Sprache und Literatur" Die 63. Jahrestagung des Leibniz-Instituts für Deutsche Sprache (IDS) in Mannheim steht unter dem Motto "Sprache und Literatur" und zielt darauf ab, Phänomene literarischer Sprache aus der Perspektive linguistischer Fragestellungen und Methoden zu beleuchten. Wir rufen zur Einreichung von Beiträgen für die Methodenmesse auf, die am Mittwoch, 10. März 2027, im Rahmen der Tagung stattfindet. Der Fokus der Methodenmesse ist praxisnah und liegt auf Ressourcen, Methoden und Werkzeugen, die idealerweise anhand kurzer Anwendungsstudien demonstriert werden. Die Vorstellung von spezifischen Studien ist ebenfalls möglich, wobei transparente Methodik, Dokumentation und möglichst reproduzierbare Forschungsprozesse im Vordergrund stehen sollten. Wir begrüßen insbesondere Beiträge, die sich mit der deutschen Sprache beschäftigen bzw. auf das Deutsche anwendbare Methoden oder Tools vorstellen. Geplante Themenbereiche sind: • Korpora oder andere Ressourcen für die empirische Arbeit mit literarischen Texten • Tools, Strategien und Workflows für die empirische Untersuchung literarischer Texte mit Bezug auf deren sprachliche Struktur, hierbei auch besonders: o Untersuchungen und kritische Reflexion zum Einsatz von KI-Methoden o Untersuchungen zu multimodalen und neuartigen Literaturformen (z.B. Songs, Graphic Novels, Social-Media-Formate, interaktive Formate, KI-generierte Literatur) • Didaktisch-methodische Konzepte für die Verknüpfung von Sprach- und Literaturwissenschaft in Lehre und Unterricht Weitere Themenbereiche können berücksichtigt werden, sofern der Bezug zum Tagungsthema in der Einreichung klar herausgearbeitet ist. Die Beiträge werden in Form eines Posters und ggf. einer Softwaredemonstration präsentiert. Auf der Tagung wird jeder Beitrag in einem einminütigen Schlaglicht dem Publikum vorgestellt. Anschließend gibt es die Gelegenheit, die Inhalte im Rahmen einer ca. eineinhalbstündigen Poster-Session zu demonstrieren und Fragen zu beantworten. Ausgearbeitete Beiträge sollen im Anschluss an die Tagung bei IDSopen ( https://idsopen.de ) digital nach dem Open-Access-Prinzip publiziert werden. Wenn Sie einen Beitrag zur Methodenmesse beisteuern möchten, bitten wir um ein nicht anonymisiertes Abstract auf Deutsch (ca. 500 Wörter exkl. Literaturangaben; in einem editierbaren Format) bis zum 15.09.2026 an folgende Adresse: methodenmesse2027(a)ids-mannheim.de Über die Annahme der Beiträge wird bis zum 15.11.2026 entschieden. Konferenz-Webseite: https://www.ids-mannheim.de/aktuell/veranstaltungen/tagungen/jahrestagung-2… Organisationsteam: Annelen Brunner, Katharina Gloning, Peter Meyer, Roman Schneider -- Prof. Dr. Roman Schneider Leibniz-Institut für Deutsche Sprache, R5 6-13, 68161 Mannheim Tel: +49 621-1581-217 http://www.ids-mannheim.de/gra/personal/schneider.html

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International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026): Last Call for Workshop Papers
by Announce 16 Jun '26

16 Jun '26

*** Last Call for Workshop Papers *** International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026) 29 September - 2 October 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://conf.researchr.org/home/variability-2026 VARIABILITY is a new conference that has been formed by the merger of three prominent conferences focussing on software and systems variability, configuration and reuse: SPLC (the International Systems and Software Product Line Conference, 29 successful editions, ranked as a top conference), VaMoS (the International Working Conference on Variability Modelling of Software-Intensive Systems, 19 successful editions), and ICSR (the International Conference on Systems and Software Reuse, 22 successful editions). This is the last call for papers for the two workshops to be collocated with VARIABILITY 2026. VARIABILITY workshop papers will be published in a volume of the conference proceedings published by Springer in LNCS. Tenth International Workshop on Languages for Modelling Variability (MODEVAR 2026) https://modevar.github.io/ Feature models were invented in 1990 and have been recognized as one of the main contributions to the Software Product Line community. Although several attempts have been made to establish and study a sort of standard variability modeling language (e.g., OVM, CVL, TVL, .) there is still no consensus on a simple feature modeling language. There can be many motivations to have one but among others, there is one that is very important: information sharing among researchers, tools, or developers. Following the spirit of the previous MODEVAR workshops, this meeting plans to be a full-day, interactive event where all participants shall share knowledge about how to build up a simple feature model language that the community can agree on. First International Workshop on Generative AI and Variability (GAIV 2026) https://sites.google.com/view/gaiv-2026 The Workshop on Generative AI and Variability (GAIV 2026) invites high-quality contributions from researchers and practitioners in software engineering, artificial intelligence, and related disciplines, focusing on the intersection of generative AI (GenAI) and variability-intensive systems. As configurable systems and GenAI technologies rapidly evolve, their interaction raises new opportunities and challenges: GenAI can automate variability engineering tasks, while variability introduces complexity in AI pipelines, prompts, and generated artifacts. GAIV provides a dedicated forum to explore this emerging research space and foster collaboration between the variability and AI-in-SE communities. Important Dates (AoE) • Workshop Papers Submission: 30 June 2026 • Workshop Papers Notification: 15 July, 2026 • Camera-Ready Version Submission: 31 July, 2026 • Author Registration: 31 July, 2026 Organisation General Chairs • George A. Papadopoulos, University of Cyprus, Cyprus • Gilles Perrouin, FNRS & University of Namur, Belgium Research Track Chairs • Thorsten Berger, Ruhr University Bochum, Germany • Ina Schaefer, KIT, Germany Industry Track Chairs • Shaukat Ali, Simula Research Lab and Oslo Metropolitan University, Norway • Martin Becker, Fraunhofer IESE, Germany Journal First Track Chairs • Mathieu Acher, University Rennes, Inria, CNRS, IRISA, France • Xhevahire Tërnava, LTCI, Télécom Paris, Institut Polytechnique de Paris, France Doctoral Symposium Track Chairs • Rick Rabiser, LIT CPS, Johannes Kepler University Linz, Austria • Iris Reinhartz-Berger, University of Haifa, Israel Demos and Tools Track Chairs • Sandra Greiner, University of Southern Denmark, Denmark • Leopoldo Teixeira, Federal University of Pernambuco Projects Showcase Chairs • Daniel Struber, Chalmers, University of Gothenburg, Radbound University, Sweden • Dalila Tamzalit, Nantes Université, France Hall of Fame Chairs • Martin Becker, Fraunhofer IESE, Germany • Goetz Botterweck, Lero - The Irish Software Research Centre and University of Limerick, Ireland • Natsuko Noda, Shibaura Institute of Technology, Japan Workshops Chairs • Lidia Fuentes, Universidad de Malaga, Spain • Malte Lochau, University of Siegen, Germany Tutorials Chairs • Loek Cleophas, Eindhoven University of Technology and Stellenbosch University, The Netherlands • Mahsa Varshosaz, IT University of Copenhagen, Denmark Proceedings Chair • Sophie Fortz, King's College London, UK Publicity Chairs • Wesley Assunção, North Carolina State University, USA • Kentaro Yoshimura, Hitachi Ltd, Japan Local Organiser and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus

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ICNLSP 2026: Submission deadline extended (June 22, 2026)
by Mourad Abbas 16 Jun '26

16 Jun '26

The 9th International Conference on Natural Language and Speech Processing (ICNLSP 2026), will take place at the University of Trento, Italy, on September 25–26, 2026. ICNLSP 2026 will be a hybrid conference. We invite authors to submit their work on topics relevant to ICNLSP 2026 and contribute to advancing research in the field. We welcome contributions on both the theoretical foundations and applied aspects of Natural Language Processing (NLP) and Speech Processing. IMPORTANT DATES New submission deadline: June 22, 2026 11:59 PMNotification of acceptance: July 25, 2026. Camera-ready paper due: August 6, 2026. Conference dates: September 25-26, 2026. All deadlines are 11:59 PM UTC-12:00 (“anywhere on Earth”). TOPICS of INTEREST We invite contributions on a wide range of topics, including but not limited to: Natural Language Processing (NLP) - Generative AI - Large language models (LLMs) - Cognition and NLP - Machine translation - Text categorization - Summarization - Sentiment analysis and opinion mining - Computational social web - Under-resourced languages: tools and corpora - NLP tools for software requirements and engineering - Text annotation tools - Knowledge fundamentals and knowledge management systems - Information extraction - Data mining and information retrieval - Lexical semantics and knowledge representation - Visualization for nlp - Knowledge graphs. Speech Processing - Signal processing and acoustic modeling - Speech recognition (architecture, search methods, lexical modeling, language modeling, adaptation, multimodal systems, applications in education and learning, zero-resource speech recognition, etc.) - Speech analysis - Paralinguistics in speech and language (perception of paralinguistic phenomena, speaker states and traits analysis, etc.) - Spoken dialogue systems and conversational analysis - Speech translation - Speech synthesis - Speaker verification and identification - Language identification - Speech coding, enhancement, and intelligibility - Speech perception and production - Brain studies on speech - Phonetics, phonology, and prosody - Speech and hearing disorders - Paralinguistics of pathological speech and language - Speech technology for disordered speech and hearing PUBLICATION All accepted papers will be published in ACL Anthology. For more information, please, check the conference website: https://www.icnlsp.org/2026welcome/

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June 2026 Newsletter - LDC
by Penn LDC 15 Jun '26

15 Jun '26

In this newsletter: Maintaining LDC organization user accounts LDC data and commercial technology development New publications: KAIROS Phase 1 Evaluation Source Data, Annotation, and Assessment<https://catalog.ldc.upenn.edu/LDC2026T07> Multi-Language Conversational Telephone Speech 2014 - Spanish & Portuguese<https://catalog.ldc.upenn.edu/LDC2026S07> LORELEI Multiway Translated Text<https://catalog.ldc.upenn.edu/LDC2026T06> ________________________________ Maintaining LDC organization user accounts LDC encourages organization account administrators to review their LDC organization user accounts at least annually to remove users who are no longer affiliated with the organization. Users no longer affiliated with an organization cannot continue to access LDC data through the organization's LDC account. As stated in LDC's membership agreements and license agreements, LDC data cannot be shared outside the member/licensing organization. LDC reserves the right to deactivate user accounts if any suspicious activity is detected. Visit the User Accounts<https://www.ldc.upenn.edu/members/managing-your-ldc-account/user-accounts> page for further information on user types and privileges. LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. ________________________________ New publications: KAIROS Phase 1 Evaluation Source Data, Annotation, and Assessment<https://catalog.ldc.upenn.edu/LDC2026T07> was developed by LDC and contains the English and Spanish source data (text, video, images), manual annotations, reference knowledge graphs, the system output assessed during the evaluation, and human assessment results from the Phase 1 evaluation of the DARPA KAIROS Program. The Phase 1 evaluation focused on the improvised explosive bombing scenario with nine complex events and two surprise complex events in the mass shooting scenario. Source data for each complex event consisted of 10-15 documents that included multimodal English and Spanish event-relevant and off-topic distractor documents. Manual annotation and assessment of event-relevant documents for 10 complex events are included in this release. Scenario-relevant events and relations were labeled for each document to develop a structured representation of temporally-ordered events, relations, and arguments that expressed the scenario-relevant events in each complex event. A reference knowledge graph (Graph G) was developed for each event; systems were expected to match the Graph G with a given schema library. Assessment data includes human assessment judgments and the system output that was manually assessed for the end-to-end evaluation task. The DARPA KAIROS (Knowledge-directed Artificial Intelligence Reasoning Over Schemas) program aimed to build technology capable of understanding and reasoning about complex real-world events in order to provide actionable insights to end users. KAIROS systems utilized formal event representations in the form of schema libraries that specified the steps, preconditions, and constraints for an open set of complex events; schemas were then used in combination with event extraction to characterize and make predictions about real-world events in a large multilingual, multimedia corpus. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * Multi-Language Conversational Telephone Speech 2014 - Spanish & Portuguese<https://catalog.ldc.upenn.edu/LDC2026S07> was developed by LDC and is comprised of 123 hours of Spanish and Portuguese telephone speech. The data was collected to support research and technology evaluation in automatic language identification; portions of these recordings were used in the NIST 2015 and 2017 language recognition evaluations<https://www.nist.gov/itl/iad/mltg/language-recognition>. The collection focused on language pair discrimination for 20 languages/dialects, some of which could be considered mutually intelligible or closely related. This corpus contains 569 recordings covering Brazilian Portuguese, Caribbean Spanish, European Spanish, and Latin American Spanish. Participants were recruited by native speakers who contacted acquaintances in their social network. Those native speakers made one call, up to 8 minutes, to each acquaintance. Human auditors labeled the calls for language, quality, callee gender, dialect type, and noise. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LORELEI Multiway Translated Text<https://catalog.ldc.upenn.edu/LDC2026T06> consists of a fixed set of English texts (around 100,000 words) translated into 24 languages. It was developed by LDC for the DARPA LORELEI Program; the translations were included in the LORELEI representative language packs created by LDC in 2016-2019. The common word set was composed of English news documents (50%), LORELEI-domain English news documents (25%), and a phrasebook and elicitation corpus (25%). The phrasebook contained everyday colloquial phrases. The elicitation corpus was designed to represent linguistic structures. Texts were translated by a combination of professional translators and crowd-sourced translators. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations like natural disasters or disease outbreaks. Linguistic resources for LORELEI include Representative Language Packs and Incident Language Packs for over two dozen low resource languages, comprising data, annotations, basic natural language processing tools, lexicons, and grammatical resources. Representative languages were selected to provide broad typological coverage, while incident languages were selected to evaluate system performance on a language whose identity was disclosed at the start of the evaluation. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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[CFP] Participatory AI: Co-Designing Sociotechnical Systems --- AI and Ethics (Deadline: Sept 7)
by bsavoldi＠fbk.eu 15 Jun '26

15 Jun '26

[CFP] Participatory AI: Co-Designing Sociotechnical Systems — Springer Nature / AI and Ethics Submission Deadline: September 7, 2026 We invite submissions to the topical collection "Participatory AI: Co-Designing Sociotechnical Systems", published in the Springer Nature journal AI and Ethics. Submission deadline: September 7, 2026 Journal CFP: https://link.springer.com/collections/fehgbcihbb This collection explores how participatory approaches can address risks and limitations of AI-powered technologies by engaging diverse stakeholders in the design process. Drawing on the sociotechnical tradition, it brings together work at the intersection of sociotechnical studies and participatory design, investigating how AI and digital systems can be co-designed to reflect shared values, accountability, and agency. Topics of interest include (but are not limited to): - Methods, frameworks, and design solutions for participatory AI (co)design - Experiments, simulations, prototypes, or case studies of co-design in AI development - Strategies for balancing individual and collective needs in AI design - Critical reflections on challenges and limitations of participatory approaches - Analyses of power dynamics and ethical considerations in participatory AI - Experiences and lessons learned from co-design and stakeholder engagement - Assessing AI impacts through participatory and stakeholder engagement approaches We welcome technical and non-technical submissions with theoretical, methodological, or experimental contributions. Interdisciplinary work is explicitly encouraged. Submitted manuscripts must contain at least 80% original content. This collection is connected to the workshop "Mind the AI GAP: Co-designing sociotechnical systems" (HHAI 2025: https://aigap2025.isti.cnr.it/), but is open to all contributions aligned with the scope. Guest Editors: Costanza Alfieri, University of L'Aquila Marta Marchiori Manerba, University of Turin Rui Prada, Instituto Superior Técnico, Universidade de Lisboa Beatrice Savoldi, Fondazione Bruno Kessler Ilaria Tiddi, Vrije Universiteit Amsterdam

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