- Corpora - ELRA lists

[JOB] PhD Opportunity in NLP, Agentic AI, and Causal Scientific Reasoning at TIB, Germany
by D'Souza, Jennifer 17 Oct '26

17 Oct '26

Dear Colleagues, My research group at the TIB -- Leibniz Information Centre for Science and Technology in Hannover, Germany, has an opening for a Research Associate/Doctoral Researcher (PhD position) focused on Natural Language Processing, Agentic AI, and Causal Scientific Reasoning. The position is part of a newly funded <https://www.leibniz-gemeinschaft.de/en/research/collaborative-research/leib niz-collaborative-excellence> Leibniz Collaborative Excellence project: EcoAIRE - AI-assisted hypothesis assessment in invasion biology and the restoration of freshwater ecosystems under fragmented and heterogeneous ecological evidence. Position Description The successful candidate will conduct research on developing AI methods that transform heterogeneous scientific evidence into structured, machine-actionable representations of hypotheses, variables, contextual conditions, uncertainty, and causal relationships. The research will extend beyond conventional information extraction toward AI-supported scientific reasoning and hypothesis assessment, including causal and world-model-inspired approaches, simulation, and intervention-based reasoning. While the doctoral research will be situated within the broader field of Computer Science, the project is inherently interdisciplinary. We particularly welcome candidates who are enthusiastic about working at the intersection of AI and ecology, with a strong willingness to collaborate closely with researchers from diverse disciplinary backgrounds, including ecologists, and to engage with scientific questions beyond their primary field of expertise. The initial appointment is for three years, subject to final funding approval. The position is full-time (39.8 hours/week), with remuneration according to TV-L E13 (German public-sector salary scale). Flexible working arrangements and limited mobile work are possible. Application Instructions The application deadline is November 14, 2026. For full details, qualifications, and how to apply, please see: <https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/ste llenausschreibung-nr-44-2026> https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stel lenausschreibung-nr-44-2026 I would appreciate it if you could share this opportunity with potentially interested candidates. Best regards, Jennifer D'Souza, Ph.D. https://www.dsouza.ai/

1 0

24th European Semantic Web Conference (ESWC 2027): First Call for Contributions
by Announce 16 Oct '26

16 Oct '26

*** First Call for Contributions *** 24th European Semantic Web Conference (ESWC 2027) May 23-27, 2027, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://2027.eswc-conferences.org The European Semantic Web Conference (ESWC) is a major venue for academic research and developments in the area of the Semantic Web and Knowledge Graphs. As in previous years, ESWC 2027 will feature a number of tracks (please refer to the webpage of each track for detailed information about topics of interest, submission instructions, important dates, etc). Call for Papers: Research Track (https://2027.eswc-conferences.org/calls/papers-research-track/) The research track of ESWC 2027 is looking for contributions addressing theoretical, analytical, and empirical aspects of the Semantic Web, knowledge graphs and semantic technologies in general and their relation with AI. We also encourage contributions at the intersection of these domains and other scientific disciplines. Submissions to the research track should describe novel, significant research, and are expected to provide a principled evaluation. Call for Papers: Resources Track (https://2027.eswc-conferences.org/calls/papers-resource-track/) The ESWC 2027 Resources Track seeks to highlight resources that are not only novel and groundbreaking, but also designed to be shared, reused, and to directly facilitate the production of scientific knowledge Call for Papers: In-Use Track (https://2027.eswc-conferences.org/calls/papers-in-use-track/) The In-Use track of ESWC 2027 is looking for contributions that apply state-of-the-art semantic technologies or resources in real-world settings. Call for Papers: Industry Track (https://2027.eswc-conferences.org/calls/industry-track/) The ESWC industry track is a forum for exchanging ideas, results, and lessons learned amongst Semantic Web researchers, technologists, and product leaders across industry and academia. The goal is to learn from the process of bringing cutting-edge Semantic Web research to state-of-the-art applications and to align current research efforts with existing real-world requirements that justify the adoption of novel approaches in the face of otherwise unfeasible challenges. Call for Papers: Project Networking Track (https://2027.eswc-conferences.org/calls/project-networking/) The Project Networking track of ESWC offers an excellent opportunity for research projects to connect, collaborate, and engage in meaningful discussions about their development and outcomes. This track encourages the sharing of knowledge and technology, and it helps to identify complementary activities and goals, laying the groundwork for future collaborations, joint research proposals, researcher exchanges, or collective participation in events and initiatives. Call for Posters and Demos (https://2027.eswc-conferences.org/calls/poster-demo/) The Posters and Demos Track of the Extended Semantic Web Conference (ESWC) 2027 welcomes submissions of presenting late-breaking results, ongoing research, innovative ideas, and early-stage prototypes within the Semantic Web domain. This track encourages discussions and interaction between researchers and practitioners, facilitating feedback on emerging work and demonstrations of cutting-edge technologies. Call for Workshop Proposals (https://2027.eswc-conferences.org/calls/workshops/) Co-located workshops at the ESWC conferences are essential meeting points for discussing ongoing work and current results, as well as shaping new ideas and research fields. We particularly invite workshop proposals looking at topics related to Semantic Web from an interdisciplinary standpoint, proposals focussing on novel aspects of the Semantic Web and Web of Data, and proposals aiming at gathering existing and forming new sub-communities. Call for Tutorial Proposals (https://2027.eswc-conferences.org/calls/tutorials/) ESWC 2027 invites tutorials that address the interests of its varied audience: people new to the Semantic Web, Semantic Web researchers and practitioners that wish to learn new technologies, users of Semantic Web technologies, and representatives of government and funding agencies as well as potential private investors in Semantic Web technologies. Call for Ph.D. Symposium (https://2027.eswc-conferences.org/calls/phd-symposium/) The ESWC 2027 Ph.D. Symposium is a forum for Ph.D. students working in all areas of Semantic Web and Knowledge Graph research to present their work, meet with peers and experienced researchers, receive feedback, and learn from each other’s experiences. It aims at supporting Ph.D. students to develop the skills required to conduct and promote their research, and providing them with an opportunity to attend one of the most important conferences in the Semantic Web area. General Submission Guidelines Please refer to the particular call for the track of your interest for information particular to your track. ● All submissions must be in English. ● Submissions must be in PDF. Springer Publications expects the LaTeX source for the camera ready. ● Submissions must be formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style: https://link.springer.com/series/558/information-for-authors-and-editors . ● Submissions must clearly demonstrate relevance to the Semantic Web and the topics of interest of ESWC 2027. Papers that exceed the given page length or do not follow the LNCS guidelines will be desk rejected without review. Submission Link for all types of contributions: https://easychair.org/my/conference?conf=eswc2027 Accepted contributions to ESWC will be published by Springer in LNCS. Important Dates Please refer to the particular call for the track of your interest for important dates pertaining to the relevant track. Organisation General Chair ● Raphael Troncy, EURECOM, France Local Organiser ● George A. Papadopoulos, University of Cyprus Research Track Chairs ● Mehwish Alam, Télécom Paris, Institut Polytechnique de Paris, France ● Olaf Hartig, Linköping University, Sweden Resources Track Chair ● Pasquale Lisena, EURECOM, France In-Use Track Chair ● Maria Maleshkova, Universität der Bundeswehr Hamburg, Germany Industry Track Chair ● Yoan Chabot, Orange, France PhD Symposium & Student Mentoring Chairs ● Pieter Colpaert, Ghent University - IMEC, Belgium ● Marieke van Erp, KNAW Humanities Cluster, The Netherlands Poster and Demo Chairs ● Tabea Tietz, FIZ, Karlsruhe Institute of Technology, Germany ● Sanju Tiwari, Sharda University, India Sponsor Chairs ● John Domingue, KMi, The Open University, UK ● Anna Lisa Gentile, IBM Research, USA Publicity Chair ● Maaike de Boer, TNO, The Netherlands Web Chair ● Thibault Ehrhart, EURECOM, France

1 0

ArgMining 2027: Call for Shared Task Proposals
by Kikteva, Zlata 16 Oct '26

16 Oct '26

Call for Shared Task Proposals We cordially invite submissions for shared task proposals as part of ArgMining 2027. To advance research on specific aspects of argument mining, previous editions of the ArgMining workshop series have promoted shared tasks. These have addressed, for example, understanding argumentative structure in highly formal, legal-political UN resolutions (see https://shared-task-argmining.linguistik.uzh.ch/) and multimodal argumentative fallacy detection (see https://nlp-unibo.github.io/mm-argfallacy/2025/). Following the success of previous workshops, ArgMining 2027 plans to share one or more unsolved problems to be investigated by the community. In keeping with this year's special topic of Argumentation in Agentic and Human-AI Settings, we particularly encourage submissions focusing on this theme. Proposal Format The shared task proposal should be compiled in a PDF of at most two pages, excluding references, using the ACL template. Proposals for shared tasks should include: * A title and a brief description of the task; * A description of the datasets that will be used in the task and their readiness, including previous work on the datasets and publications (if any); * The proposed evaluation of the submitted systems; * A brief introduction of the task organizers; * Anticipated dates for releasing datasets and final evaluation. Submission Please submit your shared task proposal PDF via email to argmining.org [at] gmail.com. The submission deadline is October 31, 2026. Task organizers will be notified of proposal acceptance a couple of days after this deadline in order to stick to the tight timeline. Tentative Schedule * We recommend the following tentative schedule: * Start of November: Training data release * Start of December: Test data release, evaluation start * Mid-December: Evaluation end * Mid-December: Results announcement * End of December: Paper submission due * Mid-January: Camera-ready version due * March 9–14: ArgMining 2027 workshop (EACL) Workshop organizers: Debanjan Ghosh (Analog Devices) Kamila Gorska (University of Liverpool) Zlata Kikteva (University of Technology Nuremberg) Priya Pitre (Virginia Tech) Jodi Schneider (University of Wisconsin-Madison) Manfred Stede (University of Potsdam) Michiel van der Meer (Leiden University)

1 0

Call for Papers: Gestures in Motion
by Andy Lücking 16 Oct '26

16 Oct '26

# Call for Papers *Apologies for cross-postings.* ## Panel: *Gestures in Motion: Hands That Carry Worlds* ### at the Congress **"Signs in Motion: Semiotic Perspectives on Migration"** **University of Education Schwäbisch Gmünd, 28 September – 02 October 2027** **Organizer:** Jana Bressem, Ellen Fricke, Martin Siefkes, Andy Lücking, Alexander Mehler (TU Chemnitz, GU Frankfurt) **Contact:** jana.bressem(a)phil.tu-chemnitz.de --- Migration is not only a movement of people but also a movement of signs. This panel bridges semiotic theory and migration studies by focusing on the often-overlooked role of gestures as mobile signs — exploring how migrants reconfigure, negotiate, or resist meaning through bodily and digital communication, and how gestures function as semiotic resources in adaptation, identity negotiation, and language contact. It also provides a space for discussing methodological and empirical challenges (e.g., documenting ephemeral gestures; data protection and private languages) as well as theoretical gaps (e.g., how to model gesture meaning in contact situations). We invite contributions that examine: - **The lexicography of emblems** in migrant communities (e.g., how stable gesture forms are used, translated, or recontextualized). - **Gesture in language contact**: How do migrants integrate, adapt, or shape gestural repertoires in multilingual settings? - **Migrant memes and digital gestures**: The circulation of gestural signs in social media, memes, or digital communication as forms of cultural resistance, humor, or belonging. - **Semiotic gaps and misunderstandings**: Cases where gestures lead to miscommunication or reveal power dynamics in host societies. - **Methodological innovations**: Corpus-based, computational, or ethnographic approaches to studying migrant gestures (e.g., annotation schemes, motion capture, or AI-assisted analysis). - **Theoretical frameworks**: How can semiotic or linguistic theories be applied to analyze the role of gestures in the context of migration? Might theories even need to be adapted to the specific characteristics of migrant gestures? ## Topics We welcome submissions on (but not limited to): 1. **Lexicography and Documentation** - Creating gesture dictionaries for migrant communities. - Challenges in translating or standardizing emblems across cultures. 2. **Gesture in Language Contact** - Code-switching between gestural and verbal modes in migrant speech. - The role of gestures in language acquisition or loss among migrants. 3. **Digital and Pop Culture** - Migrant memes, GIFs, or TikTok trends as gestural semiotic systems. - Virtual gestures (e.g., avatars, emojis) in diasporic communication. 4. **Semiotic Conflict and Power** - Gestures as markers of inclusion/exclusion (e.g., offensive vs. polite gestures in host cultures). - Institutional or legal semiotic regimes (e.g., how gestures are policed or misinterpreted in asylum procedures). 5. **Interdisciplinary Methods** - Combining semiotic analysis with computational tools (e.g., NLP, computer vision). - Ethnographic or auto-ethnographic accounts of gestural practices in migration. ## Submission Guidelines - **Abstracts**: 300–500 words (excluding references), in English. - **Format**: PDF, including title, author(s), affiliation, and 3–5 keywords, along with a short academic CV. - **Deadline**: **30 November 2026** - **Notification of Acceptance**: **15 December 2027** - **Submission to**: jana.bressem(a)phil.tu-chemnitz.de --- We look forward to your submissions!

1 0

Call for Papers (ARR Commitment): End-to-End Research Workflow, Methods, and Applications for AI-Assisted Science (AIASci 2026)
by wei.zhao＠abdn.ac.uk 16 Oct '26

16 Oct '26

*AIASci 2026: End-to-End Research Workflow, Methods, and Applications for AI-Assisted Science* ARR Commitment Deadline: October 20, 2026 Submission link: https://openreview.net/group?id=aiasplus.org/AIAS/2026/Workshop/AIASci_ARR_… Full-day workshop co-located with AIAS 2026 - November 7, 2026 in San Francisco, USA *Aim and Scope* Large (vision-) language models are transforming the practice of science — from literature search and hypothesis generation to automated experimentation, manuscript drafting, multimodal content creation, and peer review. The central question is no longer whether AI can assist with these tasks, but how such systems can support the end-to-end research workflow: sustaining long-horizon scientific reasoning, grounding their claims in causal and mechanistic understanding, adapting through interaction with real experimental environments, and serving as trustworthy partners across scientific disciplines. AIASci brings together researchers building systems that move beyond passive analysis toward sustained reasoning, causal understanding, adaptive learning, and iterative participation in scientific discovery. Mirroring the workshop's title, the program is structured along three intersecting pillars that submissions may combine freely. Scientific responsibility (ethics, reliability, and human oversight), runs as a unifying theme throughout, featured in invited talks, contributed papers, poster sessions, and a dedicated panel discussion. Website: https://aiasciworkshop.github.io/ *Topics of Interest* We welcome submissions on any aspect of human–AI collaboration for science, the capabilities that enable it, and the evaluation of AI-assisted scientific outputs. Topics include, but are not limited to: (1) Stages of the AI-Assisted Research Workflow - Literature search, synthesis, comparison, and recommendation - Hypothesis generation, research ideation, and idea refinement - Automated experimentation, AI agents, and AI-driven discovery - Text-based scientific content generation - Multimodal scientific content generation and understanding - AI-assisted peer review, claim verification, and meta-review generation (2) Methodological Capabilities - Long-context and sustained scientific reasoning - Causal inference and mechanistic understanding - Adaptive systems that learn through experimentation, feedback, and reflection - Verification, reliability, and reproducibility of scientific AI outputs - Human-in-the-loop and human–AI collaboration designs - Multimodal models, self-improvement, and memory for scientific AI systems - Evaluation of AI-assisted research workflows and their outputs (3) Scientific Domains and Applications - AI scientists for physics, mathematics, chemistry, materials science, biology, medicine, and related disciplines - AI for the social sciences and humanities - Cross-disciplinary case studies - AI-assisted reproductions of real scientific findings *Paper Submission* - Long papers: up to 8 pages of content, plus unlimited references - Short papers: up to 4 pages of content, plus unlimited references *Submission Modes* - Direct submissions: Receive up to three reviews and a final acceptance decision. - ARR commitments: Unpublished papers already reviewed through ACL Rolling Review may be committed to the workshop. - Non-archival and previously published papers *Submission Links* - Direct submissions: https://openreview.net/group?id=aiasplus.org/AIAS/2026/Workshop/AIASci - ARR commitments: https://openreview.net/group?id=aiasplus.org/AIAS/2026/Workshop/AIASci_ARR_C... - Workshop website: https://aiasciworkshop.github.io/ *Important Dates* - Direct submission deadline (extended): September 18, 2026 - ARR commitment deadline: October 9, 2026 - Notification of acceptance: October 16, 2026 - Camera-ready papers due: October 26, 2026 - Previously published papers deadline: October 26, 2026 - AIASci 2026 workshop: November 7, 2026 *Organizing Committee* - Yong Cao, University of Tübingen - Steffen Eger, University of Technology Nuremberg - Anne Lauscher, University of Hamburg - Yufang Hou, IT:U Austria and IBM Research - Wei Zhao, University of Aberdeen Contact: yong.cao(a)uni-tuebingen.de

1 0

Job ad: Researcher (m/f/d/x) – AI for Science – Participation in the DFG Project SciDocExtreme
by Georg Rehm 15 Oct '26

15 Oct '26

Researcher (m/f/d/x) – AI for Science – Participation in the DFG Project SciDocExtreme DFKI Berlin, through its Speech and Language Technology research department, is involved in many national and international research programs and networks. We offer an interesting and flexible position in an innovative and international team that carries out national and European projects in the field of speech and language technology. The position is part of the DFG project SciDocExtreme (A Large-Scale Cross-Domain Dataset for AI-Driven Scientific Document Processing and Scientific Knowledge Extraction), which is coordinated by DFKI (Prof. Dr. Georg Rehm). The project is developing a very large dataset for AI-driven processing of scientific publications (in particular through automatic and manual annotation at various levels) as well as corresponding AI models (training, evaluation). The project is carried out in collaboration with GESIS (Cologne) and cooperates with the NFDI4DataScience and AI (NFDI4DS) project. SciDocExtreme will launch on January 1, 2027. Your tasks * Research and development work in the fields of natural language processing (NLP), data annotation, and AI models * Active involvement in coordinating the project and in specifying and developing the SciDocExtreme dataset * Leading a team of annotators (student research assistants) * Publishing research findings (at academic conferences and workshops, in journals) and documenting the work Your qualifications * Master’s degree in Computational Linguistics, NLP, AI, Computer Science or Cognitive Science (or equivalent) * Excellent programming skills (especially in Python) * Excellent knowledge of NLP, including practical experience, particularly in the areas of machine learning and neural networks * Proficiency in working with corpora and datasets * Ideally, experience with annotating or labelling large datasets * Ideally, first experience with publishing scientific articles * Ability to work in a team, results-oriented, highly self-motivated * Very good English skills and, ideally, German skills as well Your benefits * An innovative, agile, and professional work environment * A competitive salary, flexible hours, and the option to work from home * Diverse and challenging tasks * Opportunity to pursue a Ph.D. on a topic related to the project The German Research Center for Artificial Intelligence (DFKI) has operated as a non-profit, Public-Private-Partnership (PPP) since 1988. DFKI combines scientific excellence and commercially-oriented value creation with social awareness and is recognized as a major "Center of Excellence" by the international scientific community. In the field of artificial intelligence, DFKI has focused on the goal of human-centric AI for more than 35 years. Research is committed to essential, future-oriented areas of application and socially relevant topics. DFKI encourages applications from people with disability; DFKI intends to increase the proportion of female employees in the field of science and encourages women to apply for this position. In case of questions please reach out to Georg Rehm <georg.rehm(a)dfki.de>. We look forward to your application via https://jobs.dfki.de<https://jobs.dfki.de/>. Deadline: 30 October 2026. -- Prof. Dr. Georg Rehm<http://georg-re.hm> Principal Researcher and Research Fellow, DFKI Deputy Site Director DFKI Lab Berlin Adjunct Professor, Humboldt-Universität zu Berlin [DFKI]<https://www.dfki.de> DFKI GmbH<https://www.dfki.de>, Salzufer 15/16, 10587 Berlin, Germany Phone: +49 30 23895-1833 – Fax: -1810 georg.rehm(a)dfki.de Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer Vorsitzender des Aufsichtsrats: Prof. Dr. Oscar-Werner Reif Amtsgericht Kaiserslautern, HRB 2313

1 0

Call for Papers: Slav-NLP 2027: The 11th Workshop on NLP for Slavic Languages.
by Roman Yangarber 15 Oct '26

15 Oct '26

** *Call for Papers* * Slavic-NLP: The 11th Workshop on NLP for Slavic languages <https://bsnlp.cs.helsinki.fi/> co-located with EACL 2027, Athens, Greece 9–14 March 2027 (workshop date TBD) https://bsnlp.cs.helsinki.fi/ <https://bsnlp.cs.helsinki.fi/> Submission Deadline: 9 January 2027 WORKSHOPDESCRIPTION The 11th edition of the Slavic-NLP Workshop at EACL 2027Sponsored by SIGSLAV: The ACL Special Interest Group on Slavic NLP Slavic languages play a crucial role in Natural Language Processing (NLP) due to their diverse cultural heritage and wide use — over 400M speakers worldwide. The current political and economic developments in Central/ Eastern Europe have brought Slavic societies and their languages into focus, due to rapid technological advancement and expanding consumer markets. Research on applied and theoretical NLP in the context of Slavic languages is still lagging. Linguistic phenomena common to the Slavic languages — rich morphology, free word order, etc. — make NLP for these languages challenging. Slavic-NLP Workshops gather researchers from academia and industry, aiming to stimulate research in Slavic NLP and foster the creation of tools and resources. This Workshop provides a forum for exchange of ideas and experience, discussing current challenges and promoting available resources. The structural similarity, as well as the easily recognizable core vocabulary and inflectional inventory spanning this large language group, creates a special environment where researchers can appreciate shared problems and communicate naturally.We are happy to organize Slavic-NLP again in Central Europe. This Workshop addresses Natural Language Processing (NLP) for the Slavic languages. Relevant topics include: * morphological analysis and generation, * morphosyntactic tagging, * syntactic and semantic parsing, * lexical semantics, * named-entity recognition, * text normalisation and processing non-standard language * coreference resolution, * information extraction, * question answering, * information retrieval, * text summarization, * machine translation, * development of linguistic resources, * development and assessment of large language models, * disinformation detection, * fact verification, * text classification, * text generation, * sentiment analysis. This Workshop continues the proud tradition established by the 10 previous Slavic NLP and Balto-Slavic NLP Workshops. IMPORTANT DATES * Direct paper submission deadline: 9 January 2027 * Shared Task system papers deadline: 13 January 2027 * Pre-reviewed ARR commitmentdeadline: 16 January 2027 * Notification of acceptance: 23 January 2027 * Camera-ready papers due: 30 January 2027 SHARED TASKS PRESENTATION MODE: Participants who submit a shared task system description paper will be able to present either in person or remotely. TASKS: Slavic NLP 2027 features two shared tasks, one on Detection and Classification of Persuasion Techniquesand one on Disinformation Detection. The workshop also hosts the PolEvalcampaign, organised independently. Persuasion Techniques Detection & Classification coverssentence-level detection and classificationin Bulgarian, Polish and Russian (to be extended), using a taxonomy of 25 persuasion techniques and covering parliamentary debates and disinformation-related social media posts. Disinformation Detection focuses on binary classification of texts as disinformation vs. non-disinformation in Polish, English and surprise Slavic languages for test data. PolEval is the long-running Polish language evaluation campaign. PolEval winners will present their system papers at Slavic-NLP. Information about the Shared Tasks is available on the web page athttps://slavicnlp.github.io/ <https://slavicnlp.github.io/> SUBMISSION At the Workshop’s Web page: bsnlp.cs.helsinki.fi <http://bsnlp.cs.helsinki.fi/call-for-papers.html> Workshop contact: bsnlp(a)cs.helsinki.fi * -- Roman Yangarber Professor, University of Helsinki Digital Humanities INEQ: Helsinki Inequality Initiative <https://helsinki.fi/en/ineq-helsinki-inequality-initiative> — Linguistic Inequalities and Translation Technologies ------------------------------------------------------------------------ Language Learning Lab e-Learning & language learning Unioninkatu 40, Metsätalo A214 helsinki.fi/language-learning-lab <https://www.helsinki.fi/language-learning-lab> revitaAI.github.io <https://revitaai.github.io> mobile: +358 50 41 51 71 3 ------------------------------------------------------------------------ RЯ

1 0

Research Fellow in Computational Linguistics
by Sacha Beniamine 15 Oct '26

15 Oct '26

We are seeking qualified applicants for a 2 year position (with possibility to extend to 4) as Research Fellow (postdoc) in Computational Linguistics <https://jobs.surrey.ac.uk/vacancy.aspx?ref=050226> on the UKRI FLF grant ‘Scaling predictability in Morphological paradigms’, led by Sacha Beniamine. The successful candidate will perform a key role in creating new software tools and employing them to measure predictability in morphology. The position is based at the Surrey Morphology Group at the University of Surrey, in Guildford, and provides the opportunity to work in the vibrant and highly collegial research environment for which the SMG is renowned. The successful candidate will be in charge of the Work Package focusing on New Models, which aims to enable precise and comparable measures of morphological predictability, in order to understand how predictability is organized in realistic, complex inflectional systems. As a core member of the team, the successful candidate will use their skills in software development to extend existing software (Qumin) which analyzes morphological lexical data and evaluates inflectional predictability. They will rely on their qualifications in linguistics to study predictability in systems which challenge existing tools and analyses, pushing the edge of what can be reliably measured and contribute to the large comparative study of macro-variation in predictability, gaining experience in linguistic typology. They will collaborate closely with the team in the writing and dissemination of papers and presentations, and be expected to take initiative in the formulation of the research agenda. About you The successful candidate will have a dual background in linguistics and software development, with a PhD in computational linguistics, natural language processing, or a related field. The candidate will have a good grasp of linguistic concepts and methods. They will have an interest in the inflectional morphology of at least one language or language family, which can serve as a test-bed for the tools they will develop. They will have experience of software development, and are fluent in Python programming. Candidates with experience programming as part of a team will be preferred. Mastery over software development tools (command line; git management; continuous pipelines and workflows; IDE) is essential. An interest in reproducibility in science will be an advantage. Experience in using these skills to answer linguistic questions is essential. How to apply Please submit your application online: * CV * Contact details for 2 academic referees. * Three relevant works of research (DOI/URL links if possible). * Research statement of one page, describing research interests and experience, and how you think this makes you suitable for the advertised post. Please do not seek assistance from AI tools in writing this document. Interviews are planned for Tuesday the 24th of November and will be held online. Please contact Sacha Beniamine, s.beniamine(a)surrey.ac.uk<mailto:s.beniamine@surrey.ac.uk> with any questions. Further details Job Description<https://jobs.surrey.ac.uk/Upload/vacancies/files/15849/Research%20Fellow%20…> https://jobs.surrey.ac.uk/vacancy.aspx?ref=050226 Dr. Sacha Beniamine (he/him) It's pronounced [saʃa benjamin] (stress is irrelevant) Research Fellow Surrey Morphology Group, School of Literature and Languages s.beniamine(a)surrey.ac.uk<mailto:s.beniamine@surrey.ac.uk> | smg.surrey.ac.uk<http://smg.surrey.ac.uk/> [University of Surrey]<http://www.surrey.ac.uk/?utm_source=emailsignature&utm_medium=internal&utm_…> University of Surrey, Guildford, Surrey, GU2 7XH, UK

1 0

Research Fellow in Morphological typology, Surrey Morphology Group
by Sacha Beniamine 15 Oct '26

15 Oct '26

We are seeking qualified applicants for a 2 year position (with possibility to extend to 4) as Research Fellow (postdoc) in Morphological Typology <https://jobs.surrey.ac.uk/vacancy.aspx?ref=050126> on the UKRI FLF grant ‘Scaling predictability in Morphological paradigms’, led by Sacha Beniamine. The successful candidate will perform a key role in managing and analysing language data for the project, and generating novel knowledge. The position is based at the Surrey Morphology Group at the University of Surrey, in Guildford, and provides the opportunity to work in the vibrant and highly collegial research environment for which the SMG is renowned. The successful candidate will be in charge of the Work Package focusing on Macro-variation, which aims to improve the current data coverage to study the range of variation in predictability across languages. As a core member of the team, they will use their knowledge of linguistic typology and morphological variation to define a strategic sample of languages which will form the empirical basis of the project. They will coordinate a series of targeted studies on the selected language sample, and contribute to the large comparative study of macro-variation in predictability. They will collaborate closely with the rest of the team in the writing and dissemination of papers and presentations, and be expected to take initiative in the formulation of the research agenda. About you The successful candidate will have a PhD in linguistics (or related field), with expertise in both morphology and typology. They will be a specialist of morphological typology, with past postdoctoral experience. They will have experience with linguistic data management and creation, including but not limited to lexical resources. They will have expert knowledge of the morphology of a specific language or language family, and curiosity about other systems. Some additional experience with Romance linguistics and romance diachrony will be advantageous (facilitate collaboration with the project’s PhD student). How to apply Please submit your application online:<https://jobs.surrey.ac.uk/vacancy.aspx?ref=050126> * CV * Contact details for 2 academic referees. * Three relevant works of research (DOI/URL links if possible). * Research statement of one page, describing research interests and experience, and how you think this makes you suitable for the advertised post. Please do not seek assistance from AI tools in writing this document. Interviews are planned for Thursday the 26th of November, and will be held online. Please contact Sacha Beniamine, s.beniamine(a)surrey.ac.uk<mailto:s.beniamine@surrey.ac.uk> with any questions. Further details Job ad<https://jobs.surrey.ac.uk/vacancy.aspx?ref=050126> Job Description<https://jobs.surrey.ac.uk/Upload/vacancies/files/15848/Research%20Fellow%20…> Dr. Sacha Beniamine (he/him) It's pronounced [saʃa benjamin] (stress is irrelevant) Research Fellow Surrey Morphology Group, School of Literature and Languages s.beniamine(a)surrey.ac.uk<mailto:s.beniamine@surrey.ac.uk> | smg.surrey.ac.uk<http://smg.surrey.ac.uk/> [University of Surrey]<http://www.surrey.ac.uk/?utm_source=emailsignature&utm_medium=internal&utm_…> University of Surrey, Guildford, Surrey, GU2 7XH, UK

1 0

October 2026 Newsletter - LDC
by Penn LDC 15 Oct '26

15 Oct '26

In this newsletter: Membership year 2027 publication preview Fall 2026 data scholarship recipients New publications: Global TIMIT L1 Tianjin - L2 English<https://catalog.ldc.upenn.edu/LDC2026S13> LoReHLT Turkish Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2026T10> Multi-Language Conversational Telephone Speech 2014 - French Group<https://catalog.ldc.upenn.edu/LDC2026S14> ________________________________ Membership year 2027 publication preview The 2027 membership year is approaching and plans for next year's publications are in progress. Among the expected releases are: * Fisher English Training Part 3 Speech: 1300+ hours of previously unreleased English conversational telephone speech from the Fisher collection with speaker metadata * Computational Cultural Understanding: multimodal data and annotations, assessments, results, and supplemental resources to support system development for analyzing and interpreting sociocultural norms, recognizing emotion across cultural contexts, and detecting changes that affect cultural understanding; includes Chinese, Japanese, Russian, Spanish, and Turkish releases * Urdu Conversational Telephone Speech and Transcripts: 74 Urdu telephone conversations (14 hours) with transcripts, developed to support language identification, spoken language recognition, and transcription of the Urdu language * Speech Biomarkers: 23 hours of spontaneous and elicited speech and corresponding transcripts from American English speakers designed to establish a baseline of language and speech patterns from healthy speakers for comparison with clinical populations such as persons with dementia * Global TIMIT: a continuing series of TIMIT-like read speech corpora, focusing on Mandarin Chinese, Mandarin Chinese dialects, and English Check your inbox for more information about membership renewal. Fall 2026 data scholarship recipients Congratulations to the recipients of LDC's Fall 2026 data scholarships: Muhammad Azeem: Comenius University Bratislava; Mathematical Institute, Slovak Academy of Sciences (Slovakia): PhD candidate. Muhammad is awarded copies of 2008 NIST Speaker Recognition Evaluation Training Set Part 1 LDC2011S05 and UCLA Speaker Variability Database LDC2021S09 for his work in speaker recognition and pairwise classification. Cole Baisch: Claremont Graduate University (USA): PhD candidate, Positive Development Psychology, Division of Behavioral and Organizational Sciences. Cole is awarded copies of Switchboard-1 Release 2 LDC97S62 and NXT Switchboard Annotations LDC2009T26 for his work in conversational quality. Chungche Huang: National Taiwan University (Taiwan): PhD candidate, Graduate Institute of Linguistics. Chungche is awarded a copy of ETS Corpus of Non-Native Written English LDC2014T06 for his work in LLM-based automated essay scoring. Zhengyang Li, PhD candidate, and Miguel von Aspern, M. Sc.: Technical University of Braunschweig (Germany): Institute of Communications Technology. Zhengyang and Miguel are awarded copies of Switchboard-1 Release 2 LDC97S62, Fisher English Training Speech, Part 1 Speech LDC2004S13, Fisher English Training Speech, Part 1 Transcripts LDC2004T19, Fisher English Training Part 2, Speech LDC2005S13 and Fisher English Training, Part 2 Transcripts LDC2005T19 for their work in low-latency and full-duplex spoken language modeling. Garrett Oliver: Presbyterian College (USA): B.A. English candidate, English Department. Garrett is awarded a copy of Penn Parsed Corpora of Historical English Second Edition LDC2025T09 for his work in Celtic influence in English. ________________________________ New publications: Global TIMIT L1 Tianjin - L2 English<https://catalog.ldc.upenn.edu/LDC2026S13> was developed by LDC and Tianjin University<https://en.tju.edu.cn/> and contains 43 hours of read speech and transcripts in the Tianjin dialect of Mandarin Chinese and English. Fifty speakers read sentences from an everyday Chinese sentence list, Chinese Gigaword Fifth Edition (LDC2011T13)<https://catalog.ldc.upenn.edu/LDC2011T13>, TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1)<https://catalog.ldc.upenn.edu/LDC93S1> and Treebank-3 (LDC99T42)<https://catalog.ldc.upenn.edu/LDC99T42>. Some sentences were read by all speakers, others were read by a few speakers, and others were read by just one speaker. The corpus was collected at Tianjin University, China. Speakers (25 female, 25 male) were born and raised in one of the six urban districts in Tianjin, China and spoke Tianjin. They were also fluent in English based on passing scores on a standard English assessment test. All recordings were aligned into word, phone, and tone segments. Each recording file has corresponding phone, tone, and word segmentation files and Praat TextGrid files. The Global TIMIT project aimed to create a series of corpora in a variety of languages with a similar set of key features as in the original TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1)<https://catalog.ldc.upenn.edu/LDC93S1> which was designed for acoustic-phonetic studies and for the development and evaluation of automatic speech recognition systems. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LoReHLT Turkish Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2026T10> was developed by LDC and contains 422 million words of Turkish monolingual text, about 830,000 words of which were translated into English, 84,000 Turkish words translated from English data, and 25 hours of Turkish broadcast news and amateur web audio recordings. Approximately 88,000 words were annotated for named entities and over 27,000 words were annotated for full entity including nominals and pronouns. Noun-phrase chunking was applied to more than 9,300 words. Over 6,200 words were morphologically aligned, and more than 25,400 words were labeled with simple semantic annotation. Topic annotation was applied to the audio recordings. Data was collected from discussion forum, news, reference, social network, broadcast news, web audio recordings, and weblogs. LoReHLT was a companion project of the DARPA LORELEI program. 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. Representative languages were selected to provide broad typological coverage. 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 - French Group<https://catalog.ldc.upenn.edu/LDC2026S14> was developed by LDC and contains 156 hours of Haitian Creole and West African French 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 722 recordings: 412 Haitian Creole recordings and 310 West African French recordings. 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, callee gender, native speaker status, and speech clarity. 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

1 0

2026

2025

2024

2023

2022

Corpora