July 2026 - Corpora - ELRA lists

July 2026 Newsletter - LDC
by Penn LDC 15 Jul '26

15 Jul '26

In this newsletter: Fall 2026 LDC data scholarship program New publications: 2012 NIST Speaker Recognition Evaluation Test Set<https://catalog.ldc.upenn.edu/LDC2026S09> CALLHOME American English Second Edition<https://catalog.ldc.upenn.edu/LDC2026S08> CALLHOME American English Lexicon (PRONLEX) Second Edition<https://catalog.ldc.upenn.edu/LDC2026L05> ________________________________ Fall 2026 LDC data scholarship program Student applications for the Fall 2026 LDC data scholarship program are being accepted now through September 15, 2026. This program provides eligible students with no-cost access to LDC data. Students must complete an application consisting of a data use proposal and letter of support from their advisor. For application requirements and program rules, visit the LDC Data Scholarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarships> page. ________________________________ New publications: 2012 NIST Speaker Recognition Evaluation Test Set<https://catalog.ldc.upenn.edu/LDC2026S09> was developed by LDC and NIST and contains 10,321 hours of English conversational telephone speech and in-person recorded studio sessions for evaluation and modeling, along with answer keys, trial files, and documentation from the NIST-sponsored 2012 Speaker Recognition Evaluation (SRE12)<https://www.nist.gov/itl/iad/mltg/speaker-recognition-evaluation-2012>. SRE12 introduced a revised evaluation structure in which training data for target speakers was drawn from prior SRE corpora developed by LDC and was provided in advance of the evaluation period. Test data was drawn from Mixer 7 English Speech (LDC2025S08)<https://catalog.ldc.upenn.edu/LDC2025S08> and REMIX Telephone Collection (LDC2023S09)<https://catalog.ldc.upenn.edu/LDC2023S09>. Those datasets also provided segments for modeling data; other modeling segments were drawn from Mixer 3 Speech (LDC2023S02)<https://catalog.ldc.upenn.edu/LDC2023S02>, Mixer 4 and 5 Speech (LDC2020S03)<https://catalog.ldc.upenn.edu/LDC2020S03>, and Mixer 6 Speech (LDC2013S03)<https://catalog.ldc.upenn.edu/LDC2013S03>. The test data contains English speech only; some non-English speech is contained in modeling segments. This release is comprised of 130,844 test segments, specifically, 83,778 call segments and 47,066 interview segments. Modeling data consists of 46,948 segments. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * CALLHOME American English Second Edition<https://catalog.ldc.upenn.edu/LDC2026S08> was developed by LDC and contains 56 hours of speech from 120 unscripted telephone conversations between native American English speakers. This publication is a re-release of the original CALLHOME American English collection, combining CALLHOME American English Speech (LDC97S42)<https://catalog.ldc.upenn.edu/LDC97S42> and CALLHOME American English Transcripts (LDC97T14)<https://catalog.ldc.upenn.edu/LDC97T14>, with additional transcription and updated directory structure, file formats, and documentation. This release contains the 120 telephone conversations published in CALLHOME American English Speech which represented training and development data and a subset of evaluation data. Participants spoke on topics of their choice in a single telephone call lasting up to 30 minutes. Calls were manually audited for gender, language, recording quality, channel characteristics, dialect, and region. For this second edition, all audio was converted from SPHERE files to FLAC format, and the original training/development/evaluation partitioning was removed. This release also features revised transcripts conforming to updated LDC transcription guidelines that addressed normalization of annotation formats, standardization of speaker-produced and background noises, application of foreign-language marking, whitespace cleanup, and corrections and consistency fixes. The CALLHOME series consists of telephone conversations and transcripts developed by LDC and Rutgers, The State University of New Jersey, in support of research in speaker identification, language identification, and related technologies. Languages in the series include American English, Egyptian Arabic, German, Japanese, Mandarin Chinese, and Spanish. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * CALLHOME American English Lexicon (PRONLEX) Second Edition<https://catalog.ldc.upenn.edu/LDC2026L05> was developed by LDC and contains 90,988 English words with citation-form pronunciations. This second edition updates file formats, directory structure, and documentation. The first edition is available as CALLHOME American English Lexicon (PRONLEX) (LDC97L20)<https://catalog.ldc.upenn.edu/LDC97L20>. The words in the lexicon were derived from Wall Street Journal text used in the continuous speech recognition publication series CSR-1 WSJ0 Complete (LDC93S6A<https://catalog.ldc.upenn.edu/LDC93S6A>), transcripts<https://isip.piconepress.com/projects/switchboard/> from the Switchboard telephone collection (LDC97S62)<https://catalog.ldc.upenn.edu/LDC97S62>, and transcripts representing unscripted telephone conversations between native American English speakers contained in CALLHOME American English Second Edition (LDC2026S08)<https://catalog.ldc.upenn.edu/LDC2026S08>. PRONLEX transcription is a phonemic transcription system designed to support speech recognition by providing a consistent and simplified representation of how words are pronounced in standard American English that allows variation to be generated later to avoid listing many pronunciation variations for each word. This single systematic base form can be expanded through rules or modeling. The transcription was created using a modified ARPABET phoneme set<https://learnius.com/slp/3+Speech+Production%2C+Perception+and+Phonetics/4+…>. The lexicon contains three tab-separated information fields: (1) word: orthographic representation of word; (2) pron: transcribed citation-form pronunciations using modified ARPABET phoneme set; and (3) comments: (OPTIONAL) comment on the entry. It is presented as a tab-delimited TSV file encoded in UTF-8 format and includes a pronunciation dictionary derived from the lexicon in UTF-8 encoded CMUdict<https://stdlib.io/docs/api/latest/@stdlib/datasets/cmudict> format. 2026 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. 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] Deadline Reminder - NL4AI @ AIxIA 2026 - 9th Workshop on Natural Language for Artificial Intelligence | 6-9 October 2026, Perugia, Italy
by Elisa Leonardelli 15 Jul '26

15 Jul '26

[Apologies for Cross Posting] ═══════════════════════════════════════════════════════════ NL4AI 2026 – 9th Workshop on Natural Language for Artificial Intelligence, at the 24th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2026) 6–9 October 2026 | Perugia, Italy ═══════════════════════════════════════════════════════════ Website: http://sag.art.uniroma2.it/NL4AI/ Contact Email: nl4ai2026(a)gmail.com ── IMPORTANT DATES ────────────────── [EXTENDED] Paper Submission deadline: 24 July 2026, 23:59 AoE (Firm Deadline)🚨 Notification to authors: 19 August 2026 Camera-ready due: 26 August 2026 Workshop Dates: 6–9 October 2026 ──────────────────────────────────── We invite submissions to NL4AI 2026, the Ninth Workshop on Natural Language for Artificial Intelligence, to be held in Perugia from the 6th to the 9th of October 2026, within the 24th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2026), and supported by AILC (http://www.ai-lc.it/). The goal of NL4AI is to explore the role of Computational Linguistics and Natural Language Processing in Artificial Intelligence applications. We believe that new technological challenges and opportunities arise at the boundary between NLP and AI. On the one hand, AI applications benefit from a deeper understanding of problems related to Natural Language, and thus the integration of advanced NLP techniques. On the other hand, NLP benefits greatly from being used in wider areas of AI where problems and methodologies related to NL can be evaluated in new contexts. TOPICS OF INTEREST - Topics include but are not limited to: - NLP and AI Applications (health, legal domain, social media and journalism, etc.) - Natural Language Interfaces for Human Robot Interaction - Resources, Benchmarks, and Evaluation - Discourse and Pragmatics - Semantics - Natural Language Generation - Creativity, Style, and Narrative Generation - Summarization - Information Extraction in AI Applications - Machine Learning for NLP - LLMs, Foundation Models and Applications - Interpretability, Explainability and Analysis of Models for NLP - Natural Language Inference - Question Answering and Reading Comprehension - Sentiment Analysis, Opinion Mining, and Argumentation - Abusive Language Detection and Analysis - NLP for Fact Checking, Fake News Detection and Analysis - Conversational Agents in Human-Computer Interaction - Speech and Spoken Language Processing - Language and other Multimodality - Multimodal (text-image) data sources - Machine Translation and Multilinguality - Low-Resource NLP and Linguistic Diversity - Cognitive Modeling and Psycholinguistics - Computational Historical Linguistics, Social Science, and Cultural Analytics - Ethics, Fairness, and Societal Impacts of NLP - NLP and Industrial Challenges - Accepted papers will be published in the workshop proceedings via CEUR Workshop Proceedings. Depending on the number and quality of papers received, we will consider proposing a special issue in relevant journals. The Program Committee will select the Best Workshop Paper from the accepted papers. SUBMISSIONS We encourage original submissions that describe new theoretical models, applied techniques, and research in progress. Substantial extensions to works already published or presented in other locations are welcome as well. We invite two kinds of submissions: - Short/Demo Paper. Maximum length of 6 pages + up to 2 pages of Acknowledgements/Declaration on Generative AI/References - Regular Papers. Maximum length of 12 pages + up to 2 pages of references Acknowledgements/Declaration on Generative AI/References. Please note that papers with less than 25000 characters will be considered short papers in the CEUR proceedings. Submissions Evaluation. Submissions will be peer-reviewed (single-blind) by the program committee members. Evaluation criteria will include novelty, significance for theory/practice, technical soundness, and quality of presentation. Note that reviewers will not be required to evaluate appendices providing a review of the papers. Appendices are intended for including details for reproducibility and/or additional results. How to Submit. Proceedings shall be submitted to CEUR-WS.org <http://ceur-ws.org/> for online publication and all papers must follow the 2022 CEUR-ART - 1 Column paper style. The LaTeX template can be downloaded as source file from the NL4AI website <http://sag.art.uniroma2.it/NL4AI/wp-content/uploads/2026/05/CEURART-NL4AI-2…> or accessed as a Template in Overleaf <https://it.overleaf.com/read/cfvwgnqpvpys%23a7a014>. All the papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=nl4ai2026 Note: All submissions must be compatible with CEUR (https://ceur-ws.org/) and include the CEUR Declaration on Generative AI section ( https://ceur-ws.org/GenAI/Policy.html). Papers missing this section will be desk rejected. WORKSHOP ORGANIZERS Alessandro Bondielli (University of Pisa) Giovanni Bonetta (Fondazione Bruno Kessler) Elisa Leonardelli (Fondazione Bruno Kessler) Irene Siragusa (University of Palermo) We look forward to seeing you in Perugia! The NL4AI 2026 Workshop Organizers -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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🚀 2nd Workshop on Smarter Extraction of ScholArly MEtadata using Knowledge Graphs, Language Models and Agents (SESAME) at JCDL 2026
by Ansgar Scherp 14 Jul '26

14 Jul '26

📍 /Co-located with JCDL 2026, October 13-26, 2026, Texas, USA/ 🌐 Website: https://sesame-workshop.github.io/SESAME/ *Topics of interest include: * * 📚 Research Artifacts Metadata Modeling and Granularity * 🤖 Large Language Models (LLMs), NLP, and *Agents* for Metadata * 🕸️ Knowledge Graphs and Linked Data * 🏛️ Digital Libraries and Infrastructure * 🌍 Societal, Ethical Impact, and Future Policy Directions We invite original research contributions addressing the above topics in three categories: * *Long Papers:* 6–8 pages (excluding references) * *Short or Position Papers:* 2–4 pages (excluding references) * *Demo, Dataset, or Benchmark Papers*: 2–4 pages (excluding references) 📅 *Important Dates* * 📝 Paper submission: 15.08.2026 * 📩 Author notification: 01.09.2026 * 📄 Camera-ready submission: 10.09.2026 * 📍 Workshop date: *To be announced*

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Call for papers: Workshop on Collective States in Multimodal Interaction, at ICMI 2026
by Gualtiero Volpe 13 Jul '26

13 Jul '26

Apologies for cross-posting. Dear colleagues, We invite you to our workshop: Collective States in Multimodal Interaction 9 October 2026 at ICMI 2026, Napoli, Italy https://honda-research-institute.github.io/Collective_States_in_Multimodal_… Call for Papers We invite you to submit your unpublished work to the Workshop on Collective States in Multimodal Interaction, to be held in conjunction with the 28th ACM International Conference on Multimodal Interaction (ICMI 2026) in Napoli, Italy. The workshop will take place on one of the conference workshop days, 9 October 2026. Accepted papers will be presented at the workshop. See the workshop website for updates and submission details. Understanding collective states in group interaction is an emerging challenge at the intersection of multimodal AI, communication science, and social signal processing. While a large body of prior work has focused on individuals or dyads, many real-world settings, from meetings and brainstorming sessions to collaborative human-AI teams, depend on group-level phenomena such as collective engagement, shared attention, group affects, rapport, cohesion, and coordination. Recent progress in multimodal sensing and agentic AI creates new opportunities to model how these collective states arise, evolve, and influence individual behavior within groups. This workshop focuses on multi-party interaction settings in which AI systems must not only sense individuals, but also understand emergent group dynamics and, potentially, support them as peers or facilitators. The goal is to bring together researchers across artificial intelligence, multimodal interaction, and organization and communication science to advance methods, benchmarks, and applications for sensing and reasoning about collective states. The workshop will feature invited talks by Prof. Carlos Busso (Carnegie Mellon University) and Prof. Kazuhiro Otsuka (Yokohama National University). Topics of interest include, but are not limited to: * Multimodal sensing and modeling of collective states in group interaction * Group-level phenomena such as collective engagement, shared attention, group affect, rapport, cohesion, and coordination * Links between individual participant states and emergent group dynamics * Audio, video, language, physiological, and behavioral cues for multiparty interaction analysis * Multimodal fusion and temporal modeling for group behavior understanding * Annotation schemes, datasets, and benchmarks for collective states * AI agents as peers or facilitators in human-AI hybrid teams * Adaptive systems for improving participation, coordination, brainstorming, and collaboration * Explainability, robustness, fairness, privacy, and ethics in group sensing * Applications in meetings, education, healthcare, robotics, organizational settings, and other collaborative environments Submission Information We invite authors to submit papers in accordance with the ICMI formats via the PCS. Submissions will be peer-reviewed by the workshop committee. The review process will be double-blind. Important Dates Paper submission deadline: 17 July 2026 Notification to authors: 27 July 2026 Camera-ready deadline: 2 August 2026 Workshop day: 9 October 2026 Best, Giovanna Varni

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INLG 2026 final call for papers - EXTENDED DEADLINE
by Emiel van Miltenburg 13 Jul '26

13 Jul '26

Dear Corpora List members, We hereby issue the final Call for Papers for INLG 2026, to be held in Utrecht. Program chairs will be Laura Perez, Guanyi Chen, and myself. We have a great team of local organizers, chaired by Albert Gatt. NEW SUBMISSION DEADLINE * The new submission deadline for direct submissions is July 18, AoE. * The ARR commitment to INLG deadline remains August 5, 2026. SUBMISSION We have two submission venues: * Direct submissions: https://openreview.net/group?id=aclweb.org/INLG/2026/Conference_Direct_Subm… * ARR commitments: https://openreview.net/group?id=aclweb.org/INLG/2026/Conference_ARR_Commitm… Please also note that we have a NON-ARCHIVAL track as well this year, for work-in-progress and papers published elsewhere. Hopefully this will help authors develop and publicise their important work. Direct link to the website: https://2026.inlgmeeting.org/ FULL CFP —————————————————————————————————————————————————————— 19th International Natural Language Generation Conference INLG 2026 We invite the submission of long and short papers, as well as system demonstrations, related to all aspects of Natural Language Generation (NLG), including data-to-text, concept-to-text, text-to-text and vision-to-text approaches. Accepted papers will be presented as oral talks or posters. The event is organized under the auspices of the Special Interest Group on Natural Language Generation (SIGGEN) of the Association for Computational Linguistics (ACL). The event will be held from October 17 to October 21, 2026. INLG 2026 will be hosted by Utrecht University in Utrecht, the Netherlands. The conference will be taking place before EMNLP (in Budapest, Hungary, from October 24th to October 29th, 2026). IMPORTANT DATES All deadlines are Anywhere on Earth (UTC-12) Regular paper submission deadline: July 18, 2026. System demo paper submission deadline: July 15, 2026. ARR commitment to INLG deadline: August 5, 2026. Notification: August 15, 2026 Non-archival submission deadline: August 22, 2026. Camera ready: September 7, 2026 Conference: October 17 - October 21, 2026 Topics INLG 2026 solicits papers on any topic related to NLG. General topics of interest include, but are not limited to: - Large Language Models (LLMs) for NLG - Evaluation and error analysis of NLG systems - Explainability in and Trustworthiness of NLG systems - Generalizability of NLG systems - Bias and fairness in NLG systems - Reasoning models for NLG - Affect/emotion generation - Analysis and detection of automatically generated text - Cognitive modeling of language production - Computational efficiency of NLG models - Corpora and resources for NLG - Ethical considerations of NLG - Multimedia, multimodality and grounding in generation - NLG and accessibility - NLG in speech synthesis and spoken language models - NLG in dialogue systems and chatbots - NLG for human-robot interaction - NLG for low-resourced languages - NLG for real-world applications - Paraphrasing, summarization and translation - Personalisation and variation in text - Storytelling and narrative generation - Sub-tasks of the classic NLG pipeline - NLG architectures SUBMISSIONS This year’s INLG will have two tracks: an archival track where papers will be published in the ACL Anthology, and a non-archival track for works in progress and papers published elsewhere. Three kinds of papers can be submitted for the archival track: Long papers are most appropriate for presenting substantial research results and must not exceed eight (8) pages of content, plus unlimited pages of ethical considerations, supplementary material statements, and references. The supplementary material statement provides detailed descriptions to support the reproduction of the results presented in the paper (see below for details). The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Short papers are more appropriate for presenting an ongoing research effort and must not exceed four (4) pages, plus unlimited pages of ethical considerations, supplementary material statements, and references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. Demo papers should be no more than two (2) pages, including references, and should describe implemented systems relevant to the NLG community. It also should include a link to a short screencast of the working software. In addition, authors of demo papers must be willing to present a demo of their system during INLG 2026. Next to the standard paper types (surveys, experiments, resource papers, position papers), we also welcome squibs: papers that present an empirical or theoretical issue without necessarily providing a solution. NON-ARCHIVAL TRACK Through the non-archival track, we hope to foster more discussion on current trends in NLG, and to offer a space for researchers to obtain feedback on their current projects. For this track, we welcome two kinds of submissions: - Papers published elsewhere. These may be published either in a journal or at another conference, and should be relevant to the INLG audience. - Work in progress. These may be papers about completed work that has not yet been published or preliminary results that merit discussion at the conference. Submissions should consist of a title and a short abstract (max. 300 words). Submissions for the non-archival track will undergo a light review process (assessing the relevance of the submission for INLG), and accepted works will be presented as posters. FORMAT Submissions should follow ACL Author Guidelines and policies for submission, review and citation, and be anonymised for double blind reviewing. Please use ACL style files; LaTeX style files and Microsoft Word templates are available at https://acl-org.github.io/ACLPUB/formatting.html. Authors must honor the ethical code set out in the ACL Code of Ethics. If your work raises any ethical issues, you should include an explicit discussion of those issues. This will also be taken into account in the review process. You may find this checklist of use. Authors are strongly encouraged to ensure that their work is reproducible; see, e.g., the following reproducibility checklist. Papers involving any kind of experimental results (human judgments, system outputs, etc) should incorporate a data availability statement into their paper. Authors are asked to indicate whether the data is made publicly available. If the data is not made available, authors should provide a brief explanation why. (E.g. because the data contains proprietary information.) A statement guide is available on the INLG 2026 website. To submit a long or short paper to INLG 2026, authors can either submit directly or commit a paper previously reviewed by ARR. For direct submissions, the deadline for submitting papers is July 15, 2026, 11:59:59 PM (Anywhere on Earth). If committing an ARR paper to INLG, the submission is also made through the INLG 2026 paper submission site, indicating the link of the paper on OpenReview. The deadline for committing an ARR paper to INLG is August 5, 2026, 11:59:59 PM AOE, and the last eligible ARR paper submission deadline for INLG 2026 is May 25, 2026. Demo papers should be submitted directly through the INLG 2026 paper submission site by July 15, 2026, 11:59:59 PM AOE. All accepted papers will be published in the INLG 2026 proceedings and included in the ACL anthology. A paper accepted for presentation at INLG 2026 must not have been presented at any other meeting with publicly available proceedings. Dual submission to other conferences is permitted, provided that authors clearly indicate this in the submission form. If the paper is accepted at both venues, the authors will need to choose which venue to present at, since they can not present the same paper twice. Submitted papers for review at INLG 2026 must not be published elsewhere until after the notification of acceptance. Finally, at least one of the authors of an accepted paper must register to attend the conference. AWARDS INLG 2026 will present several awards to recognize outstanding achievements in the field. These awards are: - Best Long Paper Award: This award will be given to the best long paper submission based on its originality, impact, and contribution to the field of NLG. - Best Short Paper Award: This award will be given to the best short paper submission based on its originality, impact, and contribution to the field of NLG. - Best Demo Paper Award: This award will recognize the best demo paper submitted to the conference. This award considers not only the paper's quality but also the demonstration given at the conference. The demonstration will play a significant role in the judging process. - Best Evaluation Award: The award was introduced at INLG 2024. This award is designed to honour authors who have demonstrated the most comprehensive and insightful analysis in evaluating their results. This award aims to highlight papers where the authors have gone the extra mile in providing a thorough and detailed analysis of their results, offering a nuanced understanding of their findings. COMMUNICATION CHANNELS Website: https://2026.inlgmeeting.org/ Bluesky: https://bsky.app/profile/siggen.bsky.social LinkedIn: https://www.linkedin.com/company/siggen/ Mastodon: https://fediscience.org/@siggen_acl X (formerly Twitter): twitter.com/inlgmeeting —————————————————————————————————————————————————————— Best wishes, Emiel van Miltenburg Tilburg University Department of Communication and Cognition (DCC) Tilburg Center for Cognition and Communication (TiCC) Work schedule: Monday, Wednesday, Thursday, Friday. www.emielvanmiltenburg.nl | Github: https://github.com/evanmiltenburg Groeten, Emiel van Miltenburg Tilburg University Department of Communication and Cognition (DCC) Tilburg Center for Cognition and Communication (TiCC) Werkdagen: Maandag, Woensdag, Donderdag, Vrijdag. www.emielvanmiltenburg.nl | Github: https://github.com/evanmiltenburg

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CFP: 47th Translating and the Computer Conference (TC47)
by Amal Haddad 13 Jul '26

13 Jul '26

Call for Presentations and papers 47th Translating and the Computer Conference (TC47) Luxembourg, 8 to 10 December 2026 https://asling.org/tc47/ [1] AI-assisted or AI-eclipsed? Language services between promise and pressure AsLing invites submissions for the 47th edition of the Translating and the Computer Conference (TC47), to be held from 8 to 10 December 2026 in Luxembourg. The TC conference series brings together professionals, researchers, developers and decision-makers from the language industry, academia and public institutions. TC47 will explore how technological innovation - particularly AI - is reshaping multilingual communication, raising new questions about human agency, professional ethics, and sustainable practices in the language services sector. Conference theme _AI-assisted or AI-eclipsed? Language Services between Promise and Pressure_ _ _ From Machine Translation and LLMs applied to translation, language professionals face unprecedented change. TC47 invites reflection on how to navigate this evolving landscape - to ensure that technology empowers rather than eclipses, and that multilingual communication remains inclusive, trusted and professionally grounded. We especially welcome contributions exploring: * Synergy between human expertise and AI-powered tools * The role of AI in promoting or undermining inclusion and equity * Strategies for sustainable and ethical language services * Cross-sector collaboration between academia, industry, and institutions Submissions not focused on AI are equally welcome, particularly those addressing broader trends in multilingual communication, training, translation workflows, and evolving professional practices. We also welcome critical reviews and discussions on: * The broader impact of AI and automation on the language industry * Implications for training, education and career development of language professionals * Coexistence of AI and traditional practices * Impact of AI on language professionals * Adoption barriers and risks for LSPs new to AI * Future trends in translation, interpreting, and localisation - with or without AI * Responsible and sustainable development in language technologies (environmental, social, professional) Key areas of interest Include, but are not limited to: * Multilingual NLP and large language models * Human-in-control systems vs. human-in-the-loop AI * Terminology management and controlled language * AI readiness and digital transformation in LSPs * NLP, semantic technologies and linked data * Collaborative translation tools and environments * Quality assurance, benchmarking and evaluation * Training, professional development and digital upskilling * Inclusive and culturally aware AI systems * Sustainable practices across the language lifecycle * Language policy and digital language equality * FAIR data, corpora and infrastructure * Ethical implications and human oversight * Empowering language professionals to shape - not just use - AI tools * Non-AI innovations and evolutions in translation, interpreting, localisation or terminology work We invite: * Innovative research: studies that expand the boundaries of language technologies, multilingual NLP, or AI ethics. * Practical applications: case studies from public or private sector stakeholders showcasing language technology use and development. * Workshops and panels: interactive formats encouraging dialogue on timely, challenging or divisive issues in AI and language work. * Critical reflections: well-argued contributions questioning current uses of AI and proposing alternative, human-centred approaches. * Posters and short talks: snapshots of emerging projects, tools, or preliminary research. Submission tracks All submissions are for talks, within the following categories: * Research track (Academic) * 20-minute talk * Followed by a paper (max. 5,000 words) presenting original, unpublished research * User experience track (Non-academic) * 20-minute talk * Optional post-facto paper (max. 5,000 words) detailing workflows, tools or implementation cases * Posters / Short talks * 7-8-minute talk * Followed by a paper (max. 2,000 words) outlining a project, experiment, or tool * Workshops and panels * Interactive sessions with multiple speakers * Moderators may submit an optional post-facto paper summarising key takeaways Submission instructions Submissions must be made via the START conference submission system: https://www.softconf.com/p/tc2026 [2] Important dates * Deadline for research/user experience talks: 15 July 2026 ➤ Notification of acceptance: 31 August 2026 * Deadline for workshops and panels: 31 July 2026 ➤ Notification of acceptance: 15 September 2026 * Deadline for posters and short talks: 15 September 2026 ➤ Notification of acceptance: 30 September 2026 * Final paper submission (except post facto workshop and panel papers): 31 October 2026 * Conference dates: 8-10 December 2026 Submission guidelines Detailed submission guidelines, including templates and formatting instructions, will be available on the TC47 conference website. We look forward to your contributions that will help shape the future of language services through innovation, collaboration, and inclusivity. Why submit to TC47? TC47 offers a unique opportunity to engage in a multi-stakeholder dialogue that bridges research, practice and policy. It is a space for shared reflection on what language professionals need, what tools actually deliver and how we co-create a future where humans and AI work better together. For any questions, reporting of problems concerning submissions or the Conference at least, please email tc47-info(a)asling.org. Let's explore, challenge and shape the future of multilingual communication together! -- Amal Haddad Haddad (She/her) Facultad de Traducción e Interpretación Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad Lexicon Research Group |http://lexicon.ugr.es/haddad Co-Convenor, BAAL SIG 'Humans, Machines, Language'|https://r.jyu.fi/humala Event Coordinator, BAAL SIG 'Language, Learning and Teaching' =============== Cláusula de Confidencialidad: "Este mensaje se dirige exclusivamente a su destinatario y puede contener información privilegiada o confidencial. Si no es Ud. el destinatario indicado, queda notificado de que la utilización, divulgación o copia sin autorización está prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, se ruega lo comunique inmediatamente por esta misma vía y proceda a su destrucción. This message is intended exclusively for its addressee and may contain information that is CONFIDENTIAL and protected by professional privilege. If you are not the intended recipient you are hereby notified that any dissemination, copy or disclosure of this communication is strictly prohibited by law. If this message has been received in error, please immediately notify us via e-mail and delete it" =============== Links: ------ [1] https://asling.org/tc47/ [2] https://www.softconf.com/p/tc2026/

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Deadline extension: LM Playschool Workshop at EMNLP 2026
by Sabrina McCallum 13 Jul '26

13 Jul '26

We have received several requests for a little more time to prepare submissions. To allow authors to further polish their papers, we are extending the LM Playschool Workshop paper submission deadline. ⚠️ EXTENDED SUBMISSION DEADLINE: July 17, 2026 This extension applies to: * Paper-only submissions on topics relevant to the workshop, such as those listed below * Technical reports accompanying submitted models for the LM Playschool Challenge 🎯 PAPER-ONLY TRACK: TOPICS OF INTEREST * Architectures and training regimes for interactive agents * Intrinsic rewards and learning signals, including RL from game-state success * Benchmarking and evaluation via dialogue games * Data efficiency, social interaction, and Theory of Mind * Human-agent collaboration, coordination, and communicative grounding 📅 IMPORTANT DATES (UPDATED!) 🟠 Workshop paper submission deadline: July 17, 2026 (extended!) ⚪ Pre-reviewed ARR commitment deadline: August 2, 2026 ⚪ Notification of acceptance: August 8, 2026 ⚪ Camera-ready due: August 23, 2026 ⚪ Workshop at EMNLP 2026 in Budapest: October 28, 2026 You can find more information on our website: https://lm-playschool.github.io/ We look forward to your submissions! Organisers: Raffaella Bernardi, Raquel Fernández, Mario Giulianelli, Sherzod Hakimov, Alexander Koller, Dieu-Thu Le, Oliver Lemon, Davide Mazzaccara, Sabrina McCallum, David Schlangen, Alessandro Suglia

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NLP4PI @ EMNLP2026: Last call for direct submissions
by daryna.dementieva＠tum.de 13 Jul '26

13 Jul '26

Dear all! The very last call for the direct submissions to the 5th Workshop on NLP for Positive Impact co-located at EMNLP 2026! Workshop website: https://sites.google.com/view/nlp4positiveimpact Call for paper: https://sites.google.com/view/nlp4positiveimpact/call-for-papers-2026 Direct submission deadline: July 14th, 23:59, AoE Link: https://openreview.net/group?id=EMNLP/2026/Workshop/NLP4PI Special Theme: Measuring the Societal Impact of AI and NLP This year we would like to find an answer to the question: How can we measure the social impact of AI and NLP? With even the bigger raise of opportunities of AI and language technologies, we would like to understand how it influences society and if in positive manners. Position, philosophical-grounded, and new evaluation framework suggestion papers are very much welcomed to enhance the discussion! We are very much looking forward to discussions on how modern AI and language technologies can be responsible and safely applied for various societal applications. Papers Format: Both long and short paper submissions should follow all of the ARR submission requirements https://aclrollingreview.org/cfp#paper-submission-information, including: Long Papers (8 pages) and Short Papers (4 pages). If you are with ARR May 2026 cycle and would like to the meta-reviews, it is great: you can commit later your paper with reviews to our workshop till August 3rd via our commitment track: https://openreview.net/group?id=EMNLP/2026/Workshop/NLP4PI_ARR_Commitment Both direct submission and commitment tracks have archival and non-archival options. Looking forward to see your impactful work! Organizers: Katherine Atwell (Northeastern University) Angana Borah (University of Michigan) Dr. Daryna Dementieva (Technical University of Munich) Prof Elisa Kreiss (University of California) Dr. Neema Kotonya (Dataminr) Jiarui Liu (Carnegie Mellon University) Liz Olson (Dataminr) Ruyuan Wan (Pennsylvania State University) Prof Jieyu Zhao (University of Southern California) Steering Committee: Prof Rada Mihalcea (University of Michigan) Dr. Joel Tetreault (Dataminr) Dr. Zhijing Jin (University of Toronto) Contact Email: nlp4pi.workshop(a)gmail.com All positive regards, Daryna Dementieva On behalf of NLP4PI Workshop Organizers

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NLP4CALL 2026: second call for papers
by Arianna Masciolini 13 Jul '26

13 Jul '26

November 19-20, 2026. Gothenburg, Sweden and online ________________________________________________________________________________ https://spraakbanken.gu.se/forskning/teman/icall/nlp4call-workshop-series/n… We are happy to announce the 15th edition of the NLP4CALL workshop on Natural Language Processing for Computer-Assisted Language Learning. This year, NLP4CALL will be a two-day hybrid event that will take place on November 19-20, 2026. Onsite participation will be possible at the Humanisten building of the University of Gothenburg (Renströmsgatan 6, Göteborg, Sweden) and a link for remote participation will be shared closer to the workshop dates. Both onsite and online participation are free of charge. Workshop description ________________________________________________________________________________ The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on integrating Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising from this connection. The latter includes, among others, the integration of insights from Second Language Acquisition (SLA) research, and the promotion of “Computational SLA” through setting up Second Language research infrastructures. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research — Intelligent CALL, or short, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into SLA theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop therefore invites a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field. We welcome papers: - that describe research directly aimed at ICALL; - that describe the ongoing development of resources and tools with potential use in ICALL, either directly in interactive applications, or indirectly in materials, application, or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback; - that discuss challenges and/or research agenda for ICALL; - that describe empirical studies on language learner data. This year, the workshop has a special focus on process-oriented approaches to educational NLP, including but not limited to work related to the collection and analysis of keystroke data from langauge learners. Submission information ________________________________________________________________________________ Submissions should describe original unpublished complete or in-progress work and will be peer-reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be published both in the NEALT Proceeding Series and through the ACL anthology. We accept short, long and demo papers, all of which have to adhere to the following page limits: - short and demo papers: between 4 and 7 pages - long papers: between 8 and 12 pages. Also note that: - references and appendices do not count towards these page limits - the main body of the paper has to be self-contained, as reviewers are not required to read any appendices - camera-ready versions of accepted papers will be allowed an additional page to address reviewer comments. Papers should be submitted as PDFs through EasyChair (https://easychair.org/conferences/?conf=nlp4call2026). LaTeX and Word templates are available at https://github.com/NLP4CALL/current/blob/website/_includes/other_info/submi…. Important dates ________________________________________________________________________________ - paper submission deadline: September 24, 2026 - notification of acceptance: October 15, 2026 - camera-ready deadline: October 29, 2026 - workshop: November 19-20, 2026 All deadlines are AoE. Invited speakers ________________________________________________________________________________ Andrea Horbach Bio: Andrea Horbach has been professor for Educational NLP at Kiel University and the Leibniz Institute for Science and Mathematics Education (IPN) since 2024. Her research interests include free-text scoring, argument mining, automated feedback, and the use of process data for assessment. She is particularly interested in developing explainable and fair methods that support human agency in writing and assessment processes. Dr. Rianne Conijn Bio: Rianne Conijn is an assistant professor in learning analytics in the Human-Technology Interaction group at Eindhoven University of Technology, the Netherlands. Her research focuses on developing methods to capture and model learning behavior (e.g., self-regulated learning) and writing behavior (e.g., revision processes), using fine-grained behavioral data, such as keystroke and clickstream data. In addition, she uses these methods to examine how educational technologies, such as generative AI, affect the learning process. Rianne recently received a NWO Veni grant on “Human-Centered AI in education” where she aims to improve human-AI collaboration in writing in higher education. Organizers ________________________________________________________________________________ - Arianna Masciolini, Språkbanken Text, University of Gothenburg, Sweden - David Alfter, Gothenburg Research Infrastructure in Digital Humanities (GRIDH), University of Gothenburg, Sweden - Herbert Lange, Språkbanken Text, University of Gothenburg, Sweden - Ricardo Muñoz Sánchez, Språkbanken Text, University of Gothenburg, Sweden - Ildikó Pilán, Norwegian Computing Center, Norway - Elena Volodina, Språkbanken Text, University of Gothenburg, Sweden Contact ________________________________________________________________________________ For more information about the workshop, you are welcome to reach out to nlp4call2026(a)easychair.org. Funding ________________________________________________________________________________ This workshop is jointly supported by: - Språkbanken – jointly funded by its 10 partner institutions and the Swedish Research Council (2025–2028; project id 2023-00161); - Huminfra; - the Department of Swedish, Multilingualism, Language Technology; - the IncluEdS project.

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PostDoc in NLP and Research Knowledge Graphs (Cologne, Germany)
by Dietze, Stefan 13 Jul '26

13 Jul '26

Dear colleagues, Starting on *1. October 2026 *our GESIS department *Knowledge Technologies for the Social Sciences (KTS)*, *Team Information and Data Retrieval* located in *Cologne* is looking for a *Postdoctoral Researcher in Natural Language Processing and Research Knowledge Graphs* *(Salary group 13 TV-L, working time 100%, limited till 31.12.2028, option to extend)* The department *Knowledge Technologies for Social Sciences (KTS* <https://www.gesis.org/en/institute/departments/knowledge-technologies-for-t…>*)* conducts research at the intersection of information retrieval, natural language processing, semantic technologies and human information interaction as foundation for innovative web portals and platforms for the search and use of research data for example the GESIS Knowledge Graph <https://data.gesis.org/gesiskg/site/>. AI is transforming the scientific process across disciplines. In the NFDI4DS project, we develop infrastructures that empower researchers to responsibly adopt AI methods—for example, by establishing fair benchmarking protocols, ensuring transparent evaluation and documentation of AI models and LLMs, and curating a repository of open, reusable AI-based methods, along with related training materials and events. In this context, we are seeking a motivated researcher to coordinate and lead these activities. *Your tasks will be:* * Lead dedicated work packages and a team of researchers within the NFDI4DS <https://www.nfdi4datascience.de/> project including coordination with project partners and supervision of PhD students * Research scholarly information extraction and develop methods for building Research Knowledge Graphs (e.g., GESIS KG <https://data.gesis.org/gesiskg/site/>) * Develop, integrate, and evaluate services, models, and systems using established benchmarks * Advance the NFDI4DS Academy through community engagement, content acquisition (methods, tutorials, training material) and integration with third party infrastructures * Exchange with scientific and user communities and dissemination of project results through publications and workshops at national and international level *Your profile:* * Scientific university degree (Master) and completed a PhD in computer science, data science, or a related field * Experience in project management * Proven experience in NLP research and knowledge graphs, specifically in the context of scholarly information extraction * Very good experience in software development with Python, AI-tooling, NLP technologies and database technologies * Very good verbal and written communication skills in English; good knowledge of German desirable *Contact* For further information concerning the tasks please contact Philipp Mayr via phone +49 221 47694 533 or via E-Mail (philipp.mayr(a)gesis.org). If you have questions about the application process, please contact Franca Tosetti via E-Mail (franca.tosetti(a)gesis.org). *Interested?* Please apply via our Online-application portal until *27 July 2026*. <https://gesis.jobs.personio.de/job/2709312?language=en <https://gesis.jobs.personio.de/job/2709312?language=en>> Please feel free to share further. -- Prof. Dr. Stefan Dietze Scientific Director Knowledge Technologies for the Social Sciences GESIS - Leibniz Institute for the Social Sciences Web: https://www.gesis.org/en/kts Chair of Data & Knowledge Engineering Heinrich-Heine-University Düsseldorf Web: https://www.cs.hhu.de/en/research-groups/data-knowledge-engineering Phone: +49 (0)221-47694-421 Web: http://stefandietze.net

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