November 2025 - Corpora

HumanCLAIM workshop, 16th/17th of March, Goettingen
by Beinborn, Lisa 19 Nov '25

19 Nov '25

The HumanCLAIM workshop is back for its fourth edition. Join us in Göttingen for a human-centered perspective on language technology. We expect an interdisciplinary audience of researchers from computer science, linguistics, and cognitive science, and hope that many of you join us. Date: 16th/17th of March, 2026 Location: Gauss’ historic observatory, Göttingen, Germany Participation is free of charge, but we have limited capacity. Please register before the 15th of December: https://clap-lab.github.io/workshop Keynote Speakers: 1) Tessa Verhoef is the co-founder of the Creative Intelligence Lab at Leiden University. She works towards better understanding language evolution and will talk about her research on emergent linguistic structure in agent communication. 2) Terra Blevins leads the LiLaC lab at Northeastern University in Boston. She studies cross-lingual transfer and works on modeling approaches for low-resource languages to overcome the curse of multilinguality. Poster session: The poster session is the heart of the workshop. Participants get the chance to discuss their work on multilingual and cognitively inspired modeling and receive feedback from interdisciplinary experts including Ece Takmaz (Univ. of Utrecht), Valentin Hofmann (Allen Institute for AI), Lukas Galke (Univ. of South Denmark), Sina Zarrieß (Univ. of Bielefeld), Stefan Frank (Univ. of Nijmegen), Miryam de Lhoneux (Univ. of Leuven), David R. Reich (Univ. of Zurich). Idea pitches: You have an idea but lack expertise? We will make time for focused knowledge exchange in smaller groups. Several ongoing cooperations and grants have started at our workshop. Workshop dinner: Our workshop focuses on personal interaction. We hope you join the group dinner on Monday evening. Feel free to reach out if you have any questions. The HumanCLAIM organization committee: Lisa Beinborn, Urja Khurana, Zhuojing Huang, Luise Pohlmann Useful Links: - Workshop info and registration: https://clap-lab.github.io/workshop - Location: https://maps.app.goo.gl/3zKE9sPnMZKTzhPH8 - Tessa Verhoef: https://sites.google.com/view/tessa-verhoef/home - Terra Blevins: https://blvns.github.io/ ------------------------------------------------- Prof. Dr. Lisa Beinborn Human-Centered Data Science https://huds.uni-goettingen.de/ Institute for Computer Science University of Göttingen -------------------------------------------------

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CfP: ICE Corpora in the Age of AI. Pre-conference workshop @ ICAME 47
by Neumann, Stella 19 Nov '25

19 Nov '25

+++ Apologies for cross-postings +++ *Call for Papers* ICE Corpora in the Age of AI. Pre-conference workshop @ ICAME 47 The International Copus of English (ICE) project, founded in 1990 (Greenbaum 1996, Greenbaum & Nelson 1996), has been a tremendous success: 15 ICE corpora of Englishes around the world have been completed to date and numerous articles on the use and structures of varieties of English have been published on findings generated by these corpora. What role do the ICE corpora play today, 35 years after their conception? On the one hand, 35 years after their conception, ICE corpora are increasingly being criticised as being too small, using an outdated data format and being difficult to handle for automatic analyses. Moreover, those ICE corpora collected 20 years ago may be considered outdated or at least not representing the contemporary use of the respective variety of English anymore (e.g. Botha & Bernaisch 2025). More generally, the original design, to some extent modeled on contexts of use applying to Great Britain, turned out not to match the reality of all varieties of English. On the other hand, ICE corpora have been shown to still constitute excellent sources for research on varieties of English even in comparison with big data (Loureiro-Porto 2017). In particular, coverage of a range of spoken and written registers sets the ICE corpora apart from more recent corpora. By the same token, some ICE corpora have been updated and extended to include modern data formats as well as new annotations (e.g., Conrad et al. 2025, Gut & Fuchs 2017, Schützler et al. 2017, Kallen & Kirk 2012, Wong et al. 2011, Wunder et al. 2010). This workshop addresses the question of what role ICE corpora can play in the age of AI: Do they still constitute a good source for research, especially compared to the mega corpora of online data? How can they be updated for easier processing? How can new ICE cropora be collected using AI methods such as Whisper for the automatic transcription of spoken data? Should they be increased in size? Should new text categories be added and/or the original corpus design be revised? How can we be sure not to include texts generated by AI? The workshop is intended to bring together people involved in the (i) compilation, (ii) computational handling and (iii) use of the International Corpus of English. We invite submissions of abstracts addressing perspectives in compiling, computationally handling and using the International Corpus of English in the age of AI. Abstracts should be between 400 and 500 words (excluding references), using the ICAME format <https://wp.uni-koblenz.de/icame47/cfp/>, and should be sent to the workshop organisers by December 10 2025. Organisers Ulrike Gut, Universität Münster Stella Neumann, RWTH Aachen University Gerold Schneider, Universität Zürich Conference website https://wp.uni-koblenz.de/icame47/ References Botha, W., & Bernaisch, T. (2025). World Englishes and sociolinguistic variation. World Englishes, 44, 2–11. DOI: 10.1111/weng.12695 Conrad, S., Neumann, S., Frenken, F., & Schneider, G. (2025). Updating the international corpus of English for the 21st century: Towards a standardized XML-compliant markup. Corpus Linguistics 2025 Book of Abstracts, 74. Gut, U., & Fuchs, R. (2017). Exploring speaker fluency with phonologically annotated ICE corpora. World Englishes, 36, 387–403. Greenbaum, S. (1996). Comparing English Worldwide. Oxford University Press. Greenbaum, S., & Nelson, G. (1996). The International Corpus of English (ICE) project. World Englishes, 15, 3–15. Kallen, J. & Kirk, J. (2012). SPICE-Ireland: A User’s Guide. https://johnmkirk.etinu.net/johnmkirk/documents/003648.pdf Loureiro-Porto, L. (2017). ICE vs GloWbE: Big data and corpus compilation. World Englishes, 36, 448–70. DOI: 10.1111/weng.12281 Schützler, O., Gut, U., & Fuchs, R. (2017). New perspectives on Scottish Standard English. Introducing the Scottish component of the International Corpus of English. In S. Hancil & J. Beal (Eds.), Perspectives on Northern Englishes (pp. 273–301). De Gruyter Mouton. Wong, D., Cassidy, S., & Peters, P. (2011). Updating the ICE annotation system: Tagging, parsing and validation. Corpora, 6(2), 115–144. https://doi.org/10.3366/cor.2011.0009 Wunder, E.-M., Voormann, H., & Gut, U. (2010). The ICE Nigeria corpus project: Creating an open, rich and accurate corpus. ICAME Journal, 34, 78–88. Prof. Dr. Stella Neumann Anglistische Sprachwissenschaft RWTH Aachen University Institut für Anglistik Zi. 101 Kármánstr. 17/19 D-52062 Aachen Tel. +49 (0)241 80-96105

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release 2.17 of SUD (Surface syntactic Universal Dependencies)
by Bruno Guillaume 19 Nov '25

19 Nov '25

As a follow up of the UD released announced a few days ago, we are happy to announce the release of the synchronised Surface syntactic Universal Dependencies (SUD) release v2.17. You can access to the data from: https://surfacesyntacticud.org/data/ (refer to UD announcement for list of languages and contributors). Related links: - https://universal.grew.fr/: All UD and SUD treebanks for the release 2.17 are available for online requests in Grew-match. - https://tables.grew.fr/: Interactive tables showing features and dependency relations use on all treebanks.

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Tenure-Track Assistant Professor at Bocconi University (Deadline Dec 16, 2025)
by Debora Nozza 18 Nov '25

18 Nov '25

Bocconi University (Milan, Italy) invites applications for the position of Tenure-Track Assistant Professor within the Department of Computing Sciences. Deadline: 16/12/2025 Find out more and apply: https://jobmarket.unibocconi.eu/?id=870 For further information or inquiries, you are welcome to contact me at debora.nozza(a)unibocconi.it<mailto:debora.nozza@unibocconi.it> *************************************************** Description The Department of Computing Sciences is an interdisciplinary department with leading international researchers in various fields, including natural language processing, computer vision, theoretical computer science, machine learning theory, statistical physics modeling, computational neuroscience, as well as biomedical applications. In terms of teaching, the department has recently opened a bachelor's in AI, a master's in AI, and is strongly involved in the PhD program in Statistics and Computer Science. The successful candidates will be expected to develop a strong publication record, broadly contribute to the academic life of the department, and be effective teachers both at the undergraduate and graduate levels. Compensation and teaching load will be competitive with other top European Schools. Qualifications Applicants should have a Ph.D. in Computer Science or closely related areas, and should demonstrate the capacity for exceptional research achievement and the ability to teach effectively in undergraduate, master's, MBA, and PhD programs. Application Instructions Applicants should submit a CV, a research statement, up to five recent publications, and three reference letters. Equal Opportunity Statement Bocconi University is committed to increasing the diversity of its faculty. Applications are particularly welcome from women and members of underrepresented groups in academic posts.

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Second CFP: 4th Workshop on NLP for Music and Audio (NLP4MusA@EACL2026)
by Elena Epure 18 Nov '25

18 Nov '25

[image: 🎵]Second Call for Papers: 4th Workshop on NLP for Music and Audio (NLP4MusA 2026) Co-located with EACL 2026, Rabat, Morocco & Online | March 24–29, 2026 Website: https://sites.google.com/view/nlp4musa-2026/home Submission Page: https://openreview.net/group?id=eacl.org/EACL/2026/Workshops/NLP4MusA Shared Task: Conversational Music Recommendation Challenge (Music-CRS) - Challenge information: https://sites.google.com/view/nlp4musa-2026/shared-task - Baselines: https://github.com/nlp4musa/music-crs-baselines - Evaluations: https://github.com/nlp4musa/music-crs-evaluator Contact: nlp4musa2026(a)gmail.com == About the Workshop == Building on a tradition of cross-disciplinary impact, the intersection of NLP with music and audio-based creative media presents a frontier full of unique challenges and exciting opportunities. The Fourth Workshop on Natural Language Processing for Music and Audio (NLP4MusA) aims to explore the multimodal synergies between language, music, and sound. As NLP increasingly enables domains where language and interaction converge, the entertainment industry offers a particularly compelling case: most audio content - such as songs or podcasts - contains an inherent linguistic dimension, while user engagement often occurs through language, from search queries to social media conversations. We welcome submissions on topics such as: NLP for Music and Audio Understanding - Music Tagging and Auto-tagging, Knowledge Graph Construction, Semantic Ontologies - Information Extraction, Named Entity Recognition, and Entity Linking - Multimodal Representation Learning, Lyrics and Symbolic Representation Analysis - Emotion and Sentiment Analysis, Culture-specific Music Understanding, Corpora Bias - Music Captioning and Description Generation NLP for Music Retrieval or Recommendation - Conversational Interfaces, Query understanding and Intent Prediction - Multimodal, Cross-modal Music Information Retrieval and Recommender Systems - Natural Language User Modeling - Music Question Answering - Fairness and Transparency NLP for Music and Audio Generation - Lyrics Generation, Audio/Symbolic Query-driven Music Generation - Synthetic Music Content Detection == Submission Instructions == We invite short papers of up to 4 pages (excluding references and appendices). Final versions will be given one additional page of content so that reviewers' comments can be taken into account. Accepted papers will be published in the workshop proceedings (ACL Anthology) and presented orally or as posters. The review process will be double-blind. Submissions should adhere to the ACL Anthology formatting guidelines. A LaTeX template is available here (no Word templates is provided): https://github.com/acl-org/acl-style-files Shared tasks papers should be submitted as a 2-page report describing the solution, using the same LaTeX template above (see specific instructions on the website). The best works will be selected for oral or poster presentations. == Key Dates (tentative, AoE) == Direct Submission deadline: December 19, 2025 Notification of acceptance: January 23, 2026 Camera-ready paper due: February 3, 2026 Workshop dates: March 24-29, 2026 Shared Task: Important Dates Shared task release: October 15, 2025 Submission site opens: December 1, 2025 Blind evaluation dataset release: December 1, 2025 Final submission deadline: December 19, 2025 Results notification: January 23, 2026 == Organizers == Elena V. Epure, Deezer Sergio Oramas, SiriusXM SeungHeon Doh, KAIST Anna Kruspe, Munich University of Applied Sciences Mohamed Sordo, SiriusXM -- Elena Epure Senior Research Scientist 22-26, rue de Calais - 75009 PARIS

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Call for contributions to SIG Writing Conference 2026
by cerstin.mahlow＠zhaw.ch 17 Nov '25

17 Nov '25

The EARLI Special Interest Group Writing (https://www.earli.org/sig/sig-12-writing) and the ZHAW School of Applied Linguistics (https://www.zhaw.ch/en/linguistics), invite proposals to the 21st biennial SIG Writing conference (https://www.earli.org/events/sig-writing-conference-2026 ) to be held at ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland, from *June 2nd to 4, 2026*. Prior to the conference, from May 29 to June 1st, 2026, the Research School will be held. This year’s SIG Writing conference invites scholars to explore the dynamic relationship between research and practice in writing. Under the theme *Writing Research for Writing Practice*, we aim to highlight how empirical findings, theoretical advances, and methodological innovations can inform and transform writing instruction, assessment, and professional development. We welcome contributions that bridge the gap between research and real-world writing contexts—whether in schools, universities, or workplaces. While the conference traditionally hosts a diversity of topics and approaches, proposals within the theme *Writing Research for Writing Practice* are particularly welcome. We will make this SIG Writing Conference a Swiss experience by involving Swiss SIG Writing members from the University of Basel, the PH Zurich, the PH Luzern, and the FHNW in the organization and orientation of the conference and research school. ## Submission Guidelines for the Conference Presentation formats are Paper, Symposium, Poster, Roundtable, and Demonstration. *Paper* The abstract of 250-350 words (including any references) should include: - Research topic / aim - Theoretical framework / area of investigation - Methodological design - (Expected) conclusions / findings - Relevance to domain of writing and other forms of text production No extended summary is needed. Paper presentations will be scheduled in 90-minute sessions of three papers. *Symposium* Symposia consist of one 90-minute session organized by the submitters. Symposia include 3 papers, a named chair and a named discussant, who will offer a critique of the symposium and its papers. At least 3 countries need to be represented in a symposium in the roles of presenter, chair, and discussant. A symposium is submitted as a single submission that includes a description of the symposium (250-350 words) and the abstracts for all the papers to be presented as part of the symposium (250-350-word abstract per paper). No extended summary is needed. Two weeks prior to the conference, the organizer needs to provide the discussant with the presentations included in the symposium. It is possible to link two or more symposia together. Indicate in the title of each of the linked symposia the order in which they should be presented. When possible, the parts will be allocated in non-parallel time slots in the order suggested by the proposers. *Roundtable* Roundtables are organized for researchers who wish to focus on a specific topic, theoretical or methodological issue, and discuss and debate the topic for 90 minutes. The organizer of a roundtable submits a proposal with a plan for the roundtable that includes the title for the roundtable and an abstract of 250-350 words (including any references), in which the topic and objective of the roundtable is stated. *Poster* The research poster is a popular method of presenting research findings succinctly through a combination of text and graphics. All poster authors will present in a poster session where they should be prepared to explain and answer questions about their research to those attending the Poster Exhibition. The abstract should be 250-350 words (including any references). No extended summary is needed. *Demonstration* Authors will present a live demonstration using their own laptop and other necessary equipment and/or devices. Software simulations or videos can also be used during the demonstration session. The proposal consists of an abstract of 250-350 words (including references) presenting a tool or method, its novelty and applicability. ## Submission System All proposals must be written in English and submitted using the online submission system: https://www.earli-eapril.org. The system is open until December 17, 2026, 24:00 AOE (anywhere on earth). Note that this is a firm deadline! ## Contact For any questions, please contact us at sigwriting26(a)zhaw.ch. More detailed information can be found on the conference website: https://www.earli.org/events/sig-writing-conference-2026 Best regards, The SIG Writing 2026 organizing team Conference Chairs: Cerstin Mahlow, Liana Konstantinidou, Daniel Perrin (all ZHAW) Organizing Support: Sibylle Lichtsteiner Hurschler (PH Luzern), Stefan Daniel Keller (PH Zurich), Afra Sturm (FHNW), Mirjam Weder (University of Basel),

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Applications Open: 2026–2027 Bloomberg Data Science Ph.D. Fellowship
by Bloomberg Research Grant Program (BLOOMBERG/ 731 LEX) 17 Nov '25

17 Nov '25

Dear Research Community, Bloomberg is pleased to announce the 2026-2027 edition of the Bloomberg Data Science Ph.D. Fellowship Program (https://www.techatbloomberg.com/bloomberg-data-science-ph-d-fellowship/), a premier initiative supporting outstanding Ph.D. students advancing the frontiers of data science, AI and their applications. The Fellowship provides financial support and engagement opportunities for Ph.D. candidates whose innovative research has the potential to shape the future of data-driven technologies and methodologies. Key Dates *Application deadline: December 14, 2025 (11:59 PM AoE) *Fellowship recipients announced: February 9, 2026 For program details, eligibility criteria, and application instructions, please visit our official fellowship website (https://www.techatbloomberg.com/bloomberg-data-science-ph-d-fellowship/). If you have questions that are not addressed on the website, please contact the committee at rdml(a)bloomberg.net. We would appreciate it if you could redistribute this funding opportunity within your network. Warm regards, The Bloomberg Data Science Ph.D. Fellowship Committee Note: If you want to learn more about Bloomberg Academic Engagements (e.g., internships, sponsorships, and sabbatical programs), please fill this form: Bloomberg's Academic Engagements – Fill out form (https://forms.cloud.microsoft/r/hkriEg2xRp). If you would prefer not to receive future communications about Bloomberg’s academic engagements, research collaborations, or fellowship opportunities, please reply to this email with “unsubscribe” in the subject line.

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November 2025 Newsletter - LDC
by Penn LDC 17 Nov '25

17 Nov '25

In this newsletter: Join LDC for membership year 2026 Spring 2026 data scholarship application deadline New publications: AnnoDIFP CTS Audio and Transcripts<https://catalog.ldc.upenn.edu/LDC2025S10> LORELEI Ilocano Incident Language Pack<https://catalog.ldc.upenn.edu/LDC2025T16> ________________________________ Join LDC for membership year 2026 It's time to renew your LDC membership for 2026. Any organization that joins the Consortium or renews their membership before March 2, 2026, will receive a 10% discount off the membership fee. In addition to accessing new publications, current LDC members enjoy the benefit of licensing at reduced fees older data from our Catalog of close to 1000 holdings. Current-year for-profit members may use most data for commercial applications. Plans for next year's publications are in progress. Among the expected releases are: * 2012 NIST Speaker Recognition Evaluation Test Set: 10,000+ hours of English conversational telephone speech following the Mixer collection protocol, used in NIST's 2012 speaker recognition evaluation * KAIROS schema learning corpus background data and Phase 1 evaluation datasets: multimodal English and Spanish source data and annotations for reasoning about complex real-world events * CALL MY NET 2: 800+ hours of Tunisian-Arabic conversational telephone speech from over 400 speakers to support text independent speaker recognition, used in the 2018 NIST Speaker Recognition Evaluation * Multi-language conversational telephone speech: multiple releases, hundreds of hours of speech from speakers of confusable linguistic varieties (Arabic, Chinese, English, French, Slavic, Spanish) to support language identification * CALLHOME omnibus releases: combined speech and transcript datasets with updated directory structure, file formats and documentation, and lexicons (Chinese, English, German, Japanese, Spanish) * IARPA MATERIAL language packs: conversational telephone speech, transcripts, English translations, annotations and queries in multiple languages (e.g., Lithuanian, Pashto, Swahili, Tagalog) For full descriptions of all LDC data sets, browse our Catalog<https://catalog.ldc.upenn.edu/>. Visit Join LDC<https://www.ldc.upenn.edu/members/join-ldc> for details on membership, user accounts and payment. Spring 2026 data scholarship application deadline Applications are now being accepted through January 15, 2026 for the Spring 2026 LDC data scholarship program which provides university students with no-cost access to LDC data. Consult the LDC Data Scholarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarships> page for more information about program rules and submission requirements. ________________________________ New publications: AnnoDIFP (Annotated Data for the Investigation of Facets of Personality) CTS (Conversational Telephone Speech) Audio and Transcripts<https://catalog.ldc.upenn.edu/LDC2025S10> was developed by LDC, the Florida Institute of Technology <https://www.fit.edu/> and the University of New Haven<https://www.newhaven.edu/index.php> to support algorithm development for predicting personality traits. It contains 242.52 hours of English telephone audio recordings and transcripts from 1,179 telephone calls involving 327 participants paired with scores from two self-reported personality assessments, HEXACO Personality Inventory (Revised) (HEXACO-PI-R) and Short Dark Triad (SD3). This corpus contains audio and transcripts for 277 participants and transcripts only for 50 participants. Telephone calls were collected using LDC's robot-operator platform<https://www.ldc.upenn.edu/about/facilities/human-subjects-collection>. The operator called participants every 24 hours during their indicated availability and paired them with another participant to speak on a prompted topic for 10 minutes. Transcripts were produced automatically using the Rev.ai<https://www.rev.ai/> speech-to-text service. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LORELEI Ilocano Incident Language Pack<https://catalog.ldc.upenn.edu/LDC2025T16> was developed by LDC and is comprised of 8.9 million words of Ilocano monolingual text, 3.3 million words of English monolingual text, 3.2 million words of parallel Ilocano-English text, and 3 million words annotated for entity discovery and linking and situation frames. It constitutes all of the text data, annotations, supplemental resources, and related software tools for the Ilocano language used in the DARPA LORELEI / LoReHLT 2019 Evaluation<https://www.nist.gov/itl/iad/mig/lorehlt-evaluations>. 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. In the evaluation scenario, an unforeseen event triggered a need for humanitarian and logistical support in a region where the incident language had received little or no attention in NLP research. Evaluation participants provided NLP solutions, including information extraction and machine translation, with limited resources and limited development time. Data was collected from news, social network, weblog, newsgroup, discussion forum, and reference material. Entity discovery and linking annotation identified entities to be detected by systems for scoring purposes. Situation frame analysis was designed to extract basic information about needs and relevant issues for planning a disaster response effort. 2025 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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3-year PhD Position (E13 100%) on Lightweight Language Models and Agentic AI in the DFG Project *SocEnRep* at Ulm University, Germany
by Ansgar Scherp 17 Nov '25

17 Nov '25

Dear all, I am seeking a highly motivated PhD student to pursue her or his career in Data Science, with a focus on lightweight language models and agentic AI. ✨ *Motivation *Data Science deals with the content-driven identification and localization of digital objects such as semi-structured data on the web (e.g., Linked Open Data), documents, profiles, or communities — and with understanding the relationships among them. This includes designing innovative methodologies and algorithms as well as applying them to large and diverse data and document corpora. The work is inherently interdisciplinary and involves collaboration with fields such as the social sciences and economics. *About Us* Ulm University (UULM) is a research university with an excellent reputation for interdisciplinary research, innovation, and education. It plays a central role in the /Science City of Ulm/ — the region’s largest educational institution and a strong driver of R&D through its partnerships with non-university research institutes, maximum-care hospitals, and technology companies. UULM is ranked among the world’s top 200 universities in the Times Higher Education Ranking. 🌍 The city of Ulm was ranked Germany’s most livable and future-ready city in 2024. Located in the southeast on the Danube River, its roughly 130,000 residents enjoy a vibrant cultural heritage and beautiful natural surroundings. 🌿 *About the Position *The /Data Science and Big Data Analytics/ research group, led by Prof. Scherp, was established in 2020. It is a computer science group with a strong reputation in text and data mining — particularly deep learning methods on text, graph representation learning, and knowledge graphs. We have long-standing experience in Data Science and in interdisciplinary collaborations with researchers from, e.g., the social sciences and economics. In the DFG-funded project /SocEnRep/, we aim to develop lightweight language models and agentic AI approaches. These models will be applied to improve the reproducibility of research in economics and the social sciences. To this end, we analyze both research code and corresponding papers, and we match code executions with the results reported in publications. For the DFG-funded project /SocEnRep/, we seek: *1 Doctoral Researcher (PhD student, E13 100%)* The position is available immediately and is limited to 36 months in accordance with the German WissZeitVG (Wissenschaftszeitvertragsgesetz). *Your Tasks* - Conduct research on lightweight language models and on developing and applying agentic AI approaches - Run experiments on large datasets following rigorous scientific procedures - Apply developed methods to improve scientific reproducibility by matching research papers with results from code re-executions 🔍 *Requirements* - Strong interest in conducting research and writing scientific papers - Very good problem-solving and programming skills - Master of Science in Computer Science *Interested?* Apply via email before /December 5th/. Please include a /motivation letter, CV, transcript of records, degree certificates, /and any /supporting materials such as letters of reference/. Screening starts immediately. We look forward to receiving your application. For questions about the position, please contact Prof. Dr. Ansgar Scherp (ansgar.scherp(a)uni-ulm.de).

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Learner Corpus Research Conference 2026 (LCR 2026, Prague) – Call for Papers
by tomas.graf＠ff.cuni.cz 16 Nov '25

16 Nov '25

Learner Corpus Research Conference 2026 – LCR 2026 The 8th Learner Corpus Research Conference to be held in Prague 16–19 September, 2026 First Call for Papers opens on 16 November 2025 Organizers: Tomáš Gráf, Barbora Bulantová, Kryštof Buchal, Alexandr Rosen, Radek Skarnitzl, Lanfen Huang, Kristián Centek, Daniela Marková Conference site: https://lcr2026.ff.cuni.cz Key dates: Submission deadline: 16 January 2026 Notification of acceptance: 16 March 2026 Conference dates: 17–19 September 2026 Pre-conference workshops and PhD programme: 16 September 2026 The Learner Corpus Research Conference 2026 (LCR 2026) will be held in the beautiful and historically rich city of Prague on 16–19 September 2026. Organized biennially under the auspices of the Learner Corpus Association, the upcoming conference is hosted by the Department of Linguistics at the Faculty of Arts, Charles University. The event is co-organized by two of its constituent units: the Department of English Language and ELT Methodology and the Czech National Corpus. The conference, titled Forging the Future of Learner Corpus Research, reflects a dual awareness: of the field’s substantial legacy and of the pressing need to embrace emerging technological and methodological innovations. It also highlights the importance of identifying new directions and developing fresh perspectives in learner corpus studies. The conference theme resonates with the extensive experience and pioneering contributions of the Czech National Corpus, which has been shaping standards in corpus linguistics for over three decades. Moreover, the Faculty of Arts and its linguistics departments are deeply rooted in the tradition of the Prague Linguistic Circle, and they previously hosted the 38th ICAME conference in 2017. We warmly encourage all participants to contribute actively to discussions and to share their insights. We aim to foster a collegial and collaborative environment conducive to the advancement of learner corpus research. We look forward to welcoming you to Prague for a stimulating and inspiring gathering of researchers in the field. Call description We welcome all contributions related to learner corpus research and strongly encourage authors to explore new directions, challenge existing paradigms, or apply innovative approaches to learner corpus data. Areas of interest include, but are not limited to: Language for Academic and Specific Purposes Language Teaching, Assessment, and Testing Learner Corpus-Based SLA Studies Corpora as Pedagogical Resources Multimodal Learner Corpora Software Tools for Learner Corpus Analysis Corpus-Based Translation Studies English as a Medium of Instruction (EMI) English as a Lingua Franca (ELF) Data Mining and Exploratory Methods Statistical and Quantitative Approaches Discourse Analysis and Pragmatics NLP Applications in Learner Corpus Research Complexity, Accuracy, and Fluency (CAF) Measures Presentation formats We invite submissions for the following formats: Full paper (20 minutes + 10 minutes discussion) Work in progress (WIP) report (10 minutes + 5 minutes discussion) Corpus/Software demonstration Poster presentation Insight session (Insight sessions are intended primarily for PhD students and/or early-career researchers. The format allows for a 10-minute presentation followed by a 10-minute expert feedback follow-up. ) The WIP reports and posters are intended to present research still at a preliminary stage and on which researchers would like to get feedback. The language of the conference is English. Abstract submission We invite submissions of abstracts in the range of 500 words (excluding references) for presentations in one of the categories listed above. Please indicate the category of your submission (Full paper / WiP Report / Corpus / software demonstration / Poster presentation) at the beginning of your abstract. Abstracts should include: A clearly articulated research question and an explanation of its relevance to learner corpus research A brief overview of the research approach, data, and methods used A summary of the main results and their interpretation Submissions must be made via OpenReview (registration necessary). https://openreview.net/group?id=learnercorpusassociation.org/LCR/2026/Confe… The working language of the conference is English. Please do not include author names or institutional affiliations in the submitted abstract. For co-authored submissions, one author should register and upload the abstract, but each co-author must register individually for the conference.

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2025

2024

2023

2022

Corpora November 2025