- Corpora - ELRA lists

Reminder: Call for Book Chapters- Springer Volume on Data-Driven Learning
by Cansu Akan 17 Apr '26

17 Apr '26

Dear Colleagues, I am writing to share a brief reminder regarding the call for chapter proposals for our upcoming Springer edited volume, "Data-Driven Language Teaching and Learning: Theory, Research, and Practice." We have already received a range of fascinating proposals, and we would love to see your work represented in this collection. We are specifically seeking contributions that span the full spectrum of Data-Driven Learning, from theoretical frameworks offering new perspectives on data-informed pedagogy to conceptual models for innovative instructional design and practical applications rooted in classroom-based research. Whether your research focuses on AI-assisted feedback, corpus-based materials development, or the unique challenges of implementing DDL in multilingual settings, we warmly invite you to share your insights. Key Deadlines & Details: Abstract Submission (400-600 words): 1 May 2026 Notification of Acceptance: June 2026 Full Chapters (7,000-9,000 words): October 2026 Review Process: Double-blind peer review For full details on submission guidelines and the volume's scope, please refer to the Call for Chapters: https://tinyurl.com/3dbhk97f Please feel free to reach out if you have any questions or would like to discuss a potential topic. We also encourage you to share this invitation with any colleagues or researchers who may be interested. We look forward to receiving your abstracts! Best, Cansu Akan

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Re: [EXTERNAL] Re: New paper: Schwa density as a phonological register classifier (pre-registered, four-corpus replication)
by Kyle Townsend 16 Apr '26

16 Apr '26

Dear Professor Wan, Thank you for the pointer to your work — I'll read through the site and your posts. I appreciate the quickness of your response and look forward to reading more of it. I think our concerns may be partly orthogonal. The paper's headline measure is phone-level (schwa proportion in CMUdict transcriptions), not word-level; "word" enters only as an operational unit for the Flesch-Kincaid baseline we compare against, and the scope is bounded to English prose register classification on four named corpora. We don't claim cross-linguistic generality or make prescriptive claims about "language." That said, your point about the undefined status of "word" across writing systems is well-taken, and I'll add a scope/limitations note making the English-and-CMUdict dependency explicit rather than implicit. It does seem important to identify and accommodate implicit anglophone bias in scientific contexts. Best, Kyle On Thu, Apr 16, 2026 at 3:22 PM Ada Wan <adawan919(a)gmail.com> wrote: > Dear Kyle > > Please be notified of my findings from 2019 on (see > sites.google.com/view/adawan) as well as all my posts and > replies/comments on X.com since 2021 (@adawan919) and on LinkedIn.com. > Please note that working on/with "word(s)" can be considered a violation > of research integrity and/or of the law. > > Feedback: > While I understand that most of my findings might seem distant to those > from "linguistics proper", the most important takeaway is the same: "word" > is not a reliable unit for scientific work. And working on "grammar" and > "language" is / can be unethical. If you can transition to research without > working on or leveraging "w/s/ls/g/l", that'd be optimal. Otherwise, an > immediate feedback to your work would be just do it without "word(s)". > At the first sight, evaluating schwa density of a particular dataset is > not wrong in itself --- in fact, from the perspective of linguistics or > "'language' science" (except my findings show that there cannot be any more > science with "language"), it could even be avant-garde work to estimate, > without "words", schwa density of a given document and/or compare it with > another document. But when one considers how in the context of "language" > (or "w/s/ls/g/l") being un- and under-defined, and often defaulting > subliminally to a prescriptive grammarian perspective, it'd be better and > safer to simply refrain from publishing this kind of philological > contributions (and yes, I understand that within linguistics, this work > would/could be considered scientific/rigorous already, but that is not > enough). > > Feel free to let me know if you should have any questions. > > Best regards > Ada Wan > https://sites.google.com/view/adawan > > > On Thu, Apr 16, 2026 at 8:17 PM Kyle Townsend via Corpora < > corpora(a)list.elra.info> wrote: > >> >> Dear colleagues, >> >> I'd like to share a new preprint on single-feature register >> classification in English text: >> >> "Schwa Density as a Phonological Stylistic Classifier: Primary >> Stylistic, Secondary Modality -- A Four-Corpus Pre-Registered >> Replication" >> >> Preprint: >> https://ling.auf.net/lingbuzz/009926/current.pdf?_s=WPGovroKhmABLC0P >> Materials/code: >> https://github.com/kylegtownsend-collab/schwa-density-spgc >> Paper site: https://papers.letsharkness.com/schwa-density/ >> >> The paper tests whether schwa density -- the proportion of vowel >> phones in a text that are unstressed schwa (CMUdict AH0) -- can >> serve as a phonologically motivated single-feature register >> classifier. A pre-registered confirmatory plan was applied to NLTK >> multi-source (N=164) and the Standardized Project Gutenberg Corpus >> (N=2,767), with sensitivity analyses on Brown (N=313) and OANC >> (N=4,375). >> >> Headline findings: >> >> - Schwa density matches or exceeds Flesch-Kincaid on all >> pre-registered corpora. >> >> - A function-word ablation (masking the 198 NLTK English stopwords >> before computing schwa density) preserves or amplifies register >> discrimination on all four corpora (eta^2 retention 0.93-1.27), >> ruling out stopword frequency as a confound. >> >> - The ablation operationalises a two-regime finding: schwa density >> functions as a Primary Stylistic Feature on within-prose >> variation (NLTK, SPGC, Brown) and a Secondary Modality Feature on >> speech-versus-writing variation (OANC). >> >> - Joint partial-eta^2 retains 46-53% of the register signal on the >> pre-registered corpora after controlling jointly for syllables >> per word, mean word length, and Latinate ratio. >> >> The pre-registration, deviation log, analyser, ablation and >> G2P-fallback scripts, per-corpus feature tables, and >> figure-generation code are all openly available in the repository >> (MIT / CC-BY-4.0). >> >> Comments and criticisms welcome. >> >> Thanks, >> Kyle Townsend >> Independent >> ktownsend(a)spfk12.org >> >> >> _______________________________________________ >> Corpora mailing list -- corpora(a)list.elra.info >> https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ >> To unsubscribe send an email to corpora-leave(a)list.elra.info >> > -- Thanks, Kyle Townsend Instructor, English IIA, Humanities, Yearbook I/II Scotch Plains-Fanwood High School Pronouns: he/him/his (What's This? <https://www.mypronouns.org/>)

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New paper: Schwa density as a phonological register classifier (pre-registered, four-corpus replication)
by Kyle Townsend 16 Apr '26

16 Apr '26

Dear colleagues, I'd like to share a new preprint on single-feature register classification in English text: "Schwa Density as a Phonological Stylistic Classifier: Primary Stylistic, Secondary Modality -- A Four-Corpus Pre-Registered Replication" Preprint: https://ling.auf.net/lingbuzz/009926/current.pdf?_s=WPGovroKhmABLC0P Materials/code: https://github.com/kylegtownsend-collab/schwa-density-spgc Paper site: https://papers.letsharkness.com/schwa-density/ The paper tests whether schwa density -- the proportion of vowel phones in a text that are unstressed schwa (CMUdict AH0) -- can serve as a phonologically motivated single-feature register classifier. A pre-registered confirmatory plan was applied to NLTK multi-source (N=164) and the Standardized Project Gutenberg Corpus (N=2,767), with sensitivity analyses on Brown (N=313) and OANC (N=4,375). Headline findings: - Schwa density matches or exceeds Flesch-Kincaid on all pre-registered corpora. - A function-word ablation (masking the 198 NLTK English stopwords before computing schwa density) preserves or amplifies register discrimination on all four corpora (eta^2 retention 0.93-1.27), ruling out stopword frequency as a confound. - The ablation operationalises a two-regime finding: schwa density functions as a Primary Stylistic Feature on within-prose variation (NLTK, SPGC, Brown) and a Secondary Modality Feature on speech-versus-writing variation (OANC). - Joint partial-eta^2 retains 46-53% of the register signal on the pre-registered corpora after controlling jointly for syllables per word, mean word length, and Latinate ratio. The pre-registration, deviation log, analyser, ablation and G2P-fallback scripts, per-corpus feature tables, and figure-generation code are all openly available in the repository (MIT / CC-BY-4.0). Comments and criticisms welcome. Thanks, Kyle Townsend Independent ktownsend(a)spfk12.org

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Digital lexicography and lexical computing workshop, Bari, Italy
by Ondřej Matuška 16 Apr '26

16 Apr '26

*<Lexicom/>* a workshop in digital lexicography and lexical computing *Registration open* *Bari, Italy*15 – 19 September 2025 Your 5 days to get up-to-date with the latest developments in *corpus-driven lexicography* and to practice your *corpus building and corpus query skills* with some of the top experts in the field. For the programme, lecturers, invited speakers, fees and registration, visit this website *lexicom.courses <https://lexicom.courses/upcoming-lexicom/>* I hope to meet you in Bari in September! Ondřej *Ondřej Matuška* sketchengine.eu <http://www.sketchengine.eu/> | Facebook <https://www.facebook.com/SketchEngine/> | LinkedIn <https://www.linkedin.com/in/ondrejmatuska> | Twitter <https://twitter.com/SketchEngine>

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CFP: International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026)
by Amal Haddad 15 Apr '26

15 Apr '26

International Conference 'New Trends in Translation and Interpreting Technology' (NeTTIT'2026) Dubrovnik, Croatia, 24-27 June 2026 https://nettt-conference.com Extended Deadline Call for Papers *** Extended submission deadline 27 April 2026 *** # The conference The third edition of the International Conference 'New Trends in Translation and Interpreting Technology' (NeTTIT'2026) will take place in Dubrovnik, Croatia from 24 to 27 June 2026. The objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation and interpreting studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTIT'2026 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures. The conference will include plenary presentations (research and user presentations, keynote speeches), poster sessions and panel discussions. All submitted papers will be peer-reviewed by experts, and the accepted papers will be published as open-access conference e- proceedings which will be available at the time of the conference. # Conference topics Contributions are invited on any topic related to latest technology and practices in translation, subtitling, localisation, interpreting, machine translation and Large Language Models used in translation and interpreting. NeTTIT'2026 will feature a Special Theme Track "Future of Translation and Interpreting Technologies in the Era of LLMs and Generative AI". The conference topics include but are not limited to (see also the special conference theme below): ## CAT tools - Translation Memory (TM) systems - NLP and MT for translation memory systems - Terminology extraction tools - Localisation tools ## Machine Translation - Latest developments in Neural Machine Translation - MT for under-resourced languages - MT with low computing resources - Multimodal MT - Integration of MT in TM systems - Resources for MT ## Technologies for MT deployment - MT evaluation techniques, metrics and evaluation results - Human evaluations of MT output - Evaluating MT in a real-world setting - Quality estimation for MT - Domain adaptation ## Translation Studies - Corpus-based studies applied to translation - Corpora and resources for translation - Translationese - Cognitive effort and eye-tracking experiments in translation ## Interpreting studies - Corpus-based studies applied to interpreting - Corpora and resources for interpreting - Interpretese - Resources for interpreting and interpreting technology applications - Cognitive effort and eye-tracking experiments in interpreting ## Interpreting technology - Machine interpreting - Computer-aided interpreting - NLP for dialogue interpreting - Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services) ## Emerging Areas in Translation and Interpreting - MT and translation tools for literary texts and creative texts - MT for social media and real-time conversations - Sign language recognition and translation ## Subtitling - NLP and MT for subtitling - Latest technology for subtitling ## User needs - Analysis of translators' and interpreters' needs in terms of translation and interpreting technology - User requirements for interpreting and translation tools - Incorporating human knowledge into translation and interpreting technology - What existing translators' (including subtitlers') and interpreters' tools do not offer - User requirements for electronic resources for translators and interpreters - Translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed ## The business of translation and interpreting - Translation workflow and management - Technology adoption by translators and industry - Setting up translation /interpreting / language provider company ## Teaching translation and interpreting - Teaching Machine Translation - Teaching translation technology - Teaching interpreting technology - Latest AI developments in the syllabi of translation and interpreting curricula ## Ethical issues in translation and technology - Bias and fairness in MT - Privacy and security in cloud MT systems - Transparency and explainability of MT systems - Environmental impact on MT systems # Special Theme Track - Future of Translation and Interpreting Technologies in the Era of LLMs and Generative AI We are excited to share that NeTTIT'2026 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technologies. While the new generation of Large Language Models such as CHATGPT, Gemini, Claude, DeepSeek and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency. The theme track invites studies on how LLMs perform on Translation and Interpreting Technology tasks and applications, and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following: - Changes in (and the impact on) the translators and interpreters' professions in the new AI era especially as a result of the latest developments in LLMs and Generative AI - Generative AI and translation - Generative AI and interpreting - Augmenting machine translation systems with generative AI - Domain and terminology adaptation with Large Language Models - Literary translation with Large Language Models - Translation for low-resourced and minority languages with LLMs - Improving Machine Translation Quality with Contextual Prompts in Large Language Models - Prompt engineering for translation - Generative AI for professional translation - Generative AI for professional interpreting # Invited speakers Yves Champollion, Wordfast LLC Marko Grobelnik, Josef Stefan Institute # Submissions and publication NeTTIT'2026 invites the following types of submissions in English: ## Academic papers - Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work. - Short papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, work-in-progress, negative results, system demonstrations, etc. ## User papers - for industry and practitioners. References to related work are optional. Allowed paper length: between 2 and 4 pages. Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/nettit2026/user/ For submitting the papers, we invite the authors to comply with the ACL format using the templates available on the conference website. The conference will not consider and evaluate abstracts only. Further details on the submission procedure are available on the conference website: https://nettt-conference.com/2026/submissions-and-publication/ The accepted papers will be published in the conference e-proceedings with assigned ISBN and DOI and made available online on the conference website at the time of the conference. The conference organisers will seek the inclusion of the conference proceedings in the ACL anthology. # Important dates - Extended submissions deadline: 27 April 2026 - Reviewing process: 28 April -18 May 2026 - Notification of acceptance: 20 May 2026 - Camera-ready due: 5 June 2026 - Conference camera-ready proceedings ready 19 June 2026 - Conference: 24-27 June 2026 Papers submitted before the submission deadline will be reviewed on a rolling basis so that authors requiring visas can be notified earlier and have sufficient time to obtain them # Pre-conference Tutorials The pre-conference tutorials will include: Post-editing and AI-augmented translation - Marie Escribe (LanguageWire and Polytechnic University of Valencia) Machine Translation Quality Evaluation - Tharindu Ranasinghe (Lancaster University) Automatic Speech Recognition as a supporting tool for interpreters - Constantin Orasan (University of Surrey) # Conference Chairs - Gloria Corpas Pastor (University of Malaga) - Ruslan Mitkov (Lancaster University and University of Alicante) - Marko Tadic (University of Zagreb) # Programme Committee Chairs - Constantin Orasan (University of Surrey) - Tharindu Ranasinghe (Lancaster University) # Publication Chairs - Marie Escribe (LanguageWire and Polytechnic University of Valencia) - Alicia Picazo Izquierdo (University of Alicante) # Organising Committee and Programme Committee coordination -- Marie Escribe (LanguageWire and Polytechnic University of Valencia) - Alicia Picazo Izquierdo (University of Alicante) - Xiaojing Zhao (Hong Kong Polytechnic University) # Publicity and Sponsorship Chair - Vilelmini Sosoni (Ionian University) # Programme committee For a list of the programme committee members visit: https://nettt-conference.com/2026/programme-committee/ # Venue The conference will take place at the Centre for Advanced Academic Studies (CAAS) of the University of Zagreb (http://www.caas.unizg.hr/) in Dubrovnik. # Sponsor Juremy.com # Sponsorship opportunities Companies working in the fields of translation technology, interpreting technology and/or related fields, are welcome to familiarise themselves with the sponsorship opportunities that the conference offers. Please visit https://nettt-conference.com/2026/sponsors/ for more details. # Further information and contact details The conference website https://nettt-conference.com/ is updated on a regular basis. For further information, please email nettit2026(a)nettt-conference.com. You can also follow us on social media for updates and announcements. LinkedIn - https://www.linkedin.com/company/nettit2026/ Twitter/X - https://x.com/NeTTIT2026 -- 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" ===============

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April 2026 Newsletter - LDC
by Penn LDC 15 Apr '26

15 Apr '26

In this newsletter: New publications: DEFT Chinese and English Light and Rich ERE Parallel Annotation<https://catalog.ldc.upenn.edu/LDC2026T04> MATERIAL Tagalog-English Language Pack<https://catalog.ldc.upenn.edu/LDC2026S05> LORELEI Somali Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2026T03> ________________________________ New publications: DEFT Chinese and English Light and Rich ERE Parallel Annotation<https://catalog.ldc.upenn.edu/LDC2026T04> was developed by LDC and consists of 179 Chinese discussion forum documents and their English translations annotated for entities, relations, and events (ERE). Light ERE annotation labels entity mentions for the target set of entity, relation, and event types between and among those entities including coreference. Rich ERE annotation expands types and tagging in the entities, relations, and events annotation tasks and replaces strict event coreference with a more loosely defined event hopper annotation. 179 Chinese-English document pairs were annotated following Light ERE annotation guidelines; a subset of 171 Chinese-English document pairs were also labeled with Rich ERE annotation. The source data and English translations were drawn from BOLT Chinese Discussion Forum Parallel Training Data (LDC2017T05)<https://catalog.ldc.upenn.edu/LDC2017T05>, originally collected and translated by LDC under the DARPA BOLT program. DARPA's Deep Exploration and Filtering of Text (DEFT) program aimed to address remaining capability gaps in state-of-the-art natural language processing technologies related to inference, causal relationships, and anomaly detection. LDC supported the DEFT program by collecting, creating, and annotating a variety of data sources. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * MATERIAL Tagalog-English Language Pack<https://catalog.ldc.upenn.edu/LDC2026S05> was developed by Appen<http://www.appen.com/> for the IARPA MATERIAL<https://www.iarpa.gov/index.php/research-programs/material> program and contains 100 hours of Tagalog conversational telephone speech, transcripts, English translations, annotations, and queries. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments. Transcripts cover approximately 30% of the speech files, 2% of which were translated into English. This release also includes domain annotations, English queries, and their relevance annotations. The MATERIAL program focused on underserved languages with the ultimate goal to build cross language information retrieval systems to find speech and text content using English search queries. 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. * LORELEI Somali Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2026T03> contains over 13 million words of Somali monolingual text, 800,00 words of which were translated into English, and 106,000 Somali words translated from English data. Approximately 73,000 words were annotated for simple named entities, around 23,000 words were annotated for full entity (including nominals and pronouns), and over 10,000 words were covered by noun phrase chunking annotation. Data was collected from discussion forum, news, reference, social network, and weblogs. 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. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Model Compression Shared Task @ WMT 2026 - First Call for Participation
by Marco Gaido 15 Apr '26

15 Apr '26

Dear all, We are pleased to announce the second round of the Model Compression Shared Task <https://www2.statmt.org/wmt26/model-compression.html> at WMT 2026 <https://www2.statmt.org/wmt26/>. This shared task aims to evaluate the potential of model compression techniques in reducing the size of general-purpose large language models, with the goal of achieving an optimal balance between practical deployability and high translation quality in specific machine translation (MT) scenarios. The task’s broader objectives include fostering research into the efficient, accessible, and sustainable deployment of LLMs for MT, establishing a common evaluation framework to monitor progress in model compression across a wide range of languages, and enabling meaningful comparisons with state-of-the-art MT systems through standardized evaluation protocols designed to assess not only translation quality but also computational efficiency. Although the focus is on model compression, the task is closely aligned with the General MT shared task <https://www2.statmt.org/wmt26/translation-task.html>, sharing test data from a subset of its language directions, as well as protocols for automatic MT quality evaluation. Additionally, the task follows the same timeline as the flagship WMT task. We warmly invite participation from academic teams and industry players interested in applying existing compression methods to MT or exploring innovative, cutting-edge approaches. THE TASK IN A NUTSHELL Goal: Reduce the size of a general-purpose LLM while maintaining a balance between model compactness and MT performance. Languages: The second round of the task will focus on a subset of the languages covered by the General MT task, namely: Czech to German, English to Chinese (Simplified), and English to Arabic (Egyptian). Conditions: - Constrained: Participants will compress a specific model, using a predefined pool of data for calibration and fine-tuning (if needed) to ensure directly comparable results. - Unconstrained: Participants are free to compress any model, provided its original size is below 20B parameters, and use any additional data for calibration and fine-tuning. Participation format: Participants will share their compressed models to be run on a standardized hardware environment provided by the organizers. Evaluation Criteria: - Translation quality: Automatically assessed using multiple metrics, e.g. Comet, MetricX, and an LLM-as-a-judge framework. - Model size: Defined by memory usage. - Inference speed: Measured by total processing time over the test set. IMPORTANT DATES - Test data released: June 18, 2026 - Model Submission deadline: July 2, 2026 - System description paper submission: in line with WMT26 <https://www2.statmt.org/wmt26/index.html> - Camera-ready submission: in line with WMT26 <https://www2.statmt.org/wmt26/index.html> - WMT 2026 Conference (co-located with EMNLP2026 <https://2026.emnlp.org/> in Budapest, Hungary): November, 2026 WEBSITE: https://www2.statmt.org/wmt26/model-compression.html ORGANIZERS: Marco Gaido, Fondazione Bruno Kessler Matteo Negri, Fondazione Bruno Kessler Roman Grundkiewicz - Microsoft Translator TG Gowda - Microsoft Translator CONTACTS: Marco Gaido - mgaido(a)fbk.eu Matteo Negri - negri(a)fbk.eu -- -- 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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Final Call For Participation - CLEF Shared Task on Person-Place Relation Extraction from Multilingual Historical Texts (HIPE 2026 – CLEF)
by Juri Alexander Opitz 14 Apr '26

14 Apr '26

Final Call For Participation HIPE 2026 – CLEF Shared Task on Person-Place Relation Extraction from Multilingual Historical Texts (apologies for cross-postings) ________________________________ HIPE: Identifying Historical People, Places and other Entities. Website: https://hipe-eval.github.io/HIPE-2026/ Tasks: Person-Location Relation Extraction from Multilingual Historical Texts. Registration: https://clef-labs-registration.dipintra.it/ (until 23 April 2026) Training data releases: 19 Dec 2025 (partial); 19 Jan 2026 (full) Evaluation period: 5–7 May 2026 Workshop venue: during CLEF conference, 21–24 September 2026, Jena, Germany. LinkedIn: @ImpressoProject / #HIPE2026 / @clef_initiative / #clef2026 ________________________________ "Who was where when?" We invite participation in the third edition of the HIPE shared task, dedicated to the extraction of person–place relations in multilingual historical documents. Building on the success of HIPE-2020 and HIPE-2022, which focused on entity recognition and linking, HIPE-2026 aims to enable finer-grained analysis of entities and support the accurate reconstruction of individuals’ geographical and temporal trajectories. The objective of HIPE-2026 is to build systems capable of determining whether a relation holds between a person and a location (place) mentioned in a document, and classify its temporal scope. Participants are asked to develop systems that determine, for each (person, location) pair associated with a historical document, whether the text implies that the person is at that location within the document’s temporal horizon (isAt relation), or that the person was there at some earlier moment in their life (a more general At relation), or that no such link can be established. Can large language models take up the challenges? Simple co-occurrences of entity mentions in a text are not sufficient to uncover the implicit and explicit, temporally anchored relations between person and locations. Addressing this challenge requires temporal reasoning, geographical inference, and the interpretation of noisy historical texts (often with only fragmentary contextual cues) to classify person–location relations with varying degrees of certainty. The task is designed to be tackled by generative AI systems/LLMs as well as by more traditional classification approaches. HIPE-2026 features two evaluation profiles * Accuracy Profile: Focusing on system performance in relation classification. * Efficiency Profile: Rewarding scalable, lightweight approaches considering model size and compute cost. * Generalization Profile: An unseen dataset from a different domain will be included to evaluate systems’ ability to generalise beyond the newspaper domain data. For the accuracy and efficiency profile, training and test data originate from historical newspapers in English, German, French and Luxembourgish. Entity pairs will be provided. For further information on data, tasks, and evaluation settings * HIPE-2026 website: https://hipe-eval.github.io/HIPE-2026/ * Participation Guidelines: https://doi.org/10.5281/zenodo.17800136 * HIPE-2026-data GitHub repository: https://github.com/hipe-eval/HIPE-2026-data On HIPE shared tasks HIPE evaluation lab series is part of the ongoing efforts of the natural language processing and digital humanities communities to adapt and develop technologies to efficiently retrieving and exploring information from historical texts. Important upcoming dates * 23 Apr 2026: Lab registration closes. * 05 May 2026: Test data release (10:00 CEST). * 07 May 2026: Participant run submission deadline. * 13 May 2026: Publication of results and release of test data. * 28 May 2026: Submission of participant notebook paper. * 10 Jul 2026 / 31 Aug 2026: CLEF conference regular/late registration DL. * 21 Sep 2026: CLEF 2026 Conference. Best regards, HIPE-2026 Shared Task Organizers https://hipe-eval.github.io/HIPE-2026/

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TSD 2026 - extended deadline and Last Call for Papers
by TSD 2026 14 Apr '26

14 Apr '26

[Apologies for cross-postings] ********************************************************* TSD 2026 - LAST CALL FOR PAPERS ********************************************************* Twenty-ninth International Conference on TEXT, SPEECH and DIALOGUE (TSD 2026) Brno, Czech Republic, 1-4 September 2026 http://www.tsdconference.org/ THE SUBMISSION DEADLINE has been EXTENDED to: April 25 2026 ............ Submission of full papers You may get updates by following new https://www.linkedin.com/company/tsdconference/ The conference is organized by the Faculty of Informatics, Masaryk University, Brno, and the Faculty of Applied Sciences, University of West Bohemia, Pilsen. The conference is supported by International Speech Communication Association. Venue: Brno, Czech Republic SUBMISSION OF PAPERS Authors are invited to submit a full paper not exceeding 12 pages formatted in the LNCS style (including references). Those accepted will be presented either orally or as posters. The decision about the presentation format will be based on the recommendation of the reviewers. Proceedings papers do not differentiate the presentation format. The authors are asked to submit their papers using the on-line form accessible from the conference website. Papers submitted to TSD 2026 must not be under review by any other conference or publication during the TSD review cycle, and must not be previously published or accepted for publication elsewhere. Publishing on preprint servers is not forbidden, but authors are warned that when doing so this might influence the blind reviewing conditions. As reviewing will be blind, the paper should not include the authors' names and affiliations. Furthermore, self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...". Papers that do not conform to the requirements above are subject to be rejected without review. The authors are strongly encouraged to write their papers in TeX or LaTeX formats. These formats are necessary for the final versions of the papers that will be published in the Springer Lecture Notes. The paper format for review has to be in the PDF format with all required fonts included. Upon notification of acceptance, presenters will receive further information on submitting their camera-ready and electronic sources (for detailed instructions on the final paper format see https://www.tsdconference.org/tsd2026/paper_instr.html). Authors are also invited to present actual projects, developed software or interesting material relevant to the topics of the conference. The presenters of demonstrations should provide an abstract not exceeding one page. The demonstration abstracts will not appear in the conference proceedings. KEYNOTE SPEAKERS Anders Soegaard, University of Copenhagen, Denmark TSD SERIES TSD series evolved as a prime forum for interaction between researchers in both spoken and written language processing from all over the world. Proceedings of TSD form a book published by Springer-Verlag in their Lecture Notes in Artificial Intelligence (LNAI) series. TSD Proceedings are regularly indexed by Thomson Reuters Conference Proceedings Citation Index/Web of Science. Moreover, LNAI series are listed in all major citation databases such as DBLP, SCOPUS, EI, INSPEC or COMPENDEX. CALL for SATELLITE WORKSHOP PROPOSALS https://www.tsdconference.org/tsd2026/conf_workshop_proposals.html The TSD 2026 conference will be accompanied by one-day satellite workshops or project meetings with organizational support by the TSD organizing committee. The organizing committee can arrange for a meeting room at the conference venue and prepare a workshop proceedings as a book with ISBN by a local publisher. The workshop papers that will pass also the standard TSD review process will appear in the Springer proceedings. Each workshop is a subject to proposal that should be sent via the proposal submission form or discussed via the contact e-mail tsd2026(a)tsdconference.org ahead of the respective deadline. TOPICS Topics of the conference will include (but are not limited to): Corpora and Language Resources (monolingual, multilingual, text and spoken corpora, large web corpora, large language models, disambiguation, specialized lexicons, dictionaries) Speech Recognition (multilingual, continuous, emotional speech, handicapped speaker, out-of-vocabulary words, alternative way of feature extraction, new models for acoustic and language modelling) Tagging, Classification and Parsing of Text and Speech (morphological and syntactic analysis, synthesis and disambiguation, multilingual processing, sentiment analysis, credibility analysis, automatic text labeling, summarization, authorship attribution) Speech and Spoken Language Generation (multilingual, high fidelity speech synthesis, computer singing) Semantic Processing of Text and Speech (information extraction, information retrieval, data mining, semantic web, knowledge representation, inference, ontologies, sense disambiguation, plagiarism detection, fake news detection) Integrating Applications of Text and Speech Processing (machine translation, natural language understanding, question-answering strategies, assistive technologies) Automatic Dialogue Systems (self-learning, multilingual, question-answering systems, dialogue strategies, prosody in dialogues) Multimodal Techniques and Modelling (video processing, facial animation, visual speech synthesis, user modelling, emotions and personality modelling) Papers on processing of languages other than English are strongly encouraged. PROGRAM COMMITTEE Elmar Noeth, Germany (general chair) Rodrigo Agerri, Spain Tomas Arias-Vergara, Germany Vladimir Benko, Slovakia Archna Bhatia, USA Jan Cernocky, Czech Republic Simon Dobrisek, Slovenia Kamil Ekstein, Czech Republic Karina Evgrafova, Russia Yevhen Fedorov, Ukraine Volker Fischer, Germany Darja Fiser, Slovenia Lucie Flek, Germany Bjorn Gamback, Norway Radovan Garabik, Slovakia Alexander Gelbukh, Mexico Louise Guthrie, USA Jan Hajic, Czech Republic Eva Hajicova, Czech Republic Yannis Haralambous, France Hynek Hermansky, USA Daniel Hládek, Slovakia Ales Horak, Czech Republic Eduard Hovy, USA Milos Jakubicek, Czech Republic Maria Khokhlova, Russia Aidar Khusainov, Russia Daniil Kocharov, Russia Miloslav Konopik, Czech Republic Valia Kordoni, Germany Evgeny Kotelnikov, Russia Pavel Kral, Czech Republic Siegfried Kunzmann, USA Oier Lopez de Lacalle, Spain Nikola Ljubesic, Croatia Natalija Loukachevitch, Russia Bernardo Magnini, Italy David Mareček, Czech Republic Jindrich Matousek, Czech Republic Vaclav Matousek, Czech Republic Roman Moucek, Czech Republic Daša Munková, Slovakia Agnieszka Mykowiecka, Poland Hermann Ney, Germany Joakim Nivre, Sweden Juan Rafael Orozco-Arroyave, Colombia Paula Andrea Perez-toro, Germany Maciej Piasecki, Poland Josef Psutka, Czech Republic James Pustejovsky, USA German Rigau, Spain Paolo Rosso, Spain Leon Rothkrantz, The Netherlands Anna Rumshisky, USA Milan Rusko, Slovakia Pavel Rychly, Czechia Mykola Sazhok, Ukraine Pavel Skrelin, Russia Petr Sojka, Czech Republic Ján Staš, Slovakia Georg Stemmer, Germany Marko Robnik Sikonja, Slovenia Marko Tadic, Croatia Jan Trmal, Czechia Tamas Varadi, Hungary Zygmunt Vetulani, Poland Aleksander Wawer, Poland Alina Wroblewska, Poland Jerneja Zganec Gros, Slovenia FORMAT OF THE CONFERENCE The conference program will include presentation of invited papers, oral presentations, and poster/demonstration sessions. Papers will be presented in plenary or topic oriented sessions. Social events including a trip in the vicinity of Brno will allow for additional informal interactions. IMPORTANT DATES April 25 2026 ............ Submission of full papers June 5 2026 .............. Notification of acceptance June 15 2026 ............. Final papers (camera ready) and registration August 8 2026 ............ Submission of demonstration abstracts August 15 2026 ........... Notification of acceptance for demonstrations sent to the authors September 1-4 2026 ....... Conference date Submission of abstracts serves for better organization of the review process only - please submit your abstract as soon as possible. For the actual review a full paper submission is necessary. The accepted conference contributions will be published in Springer proceedings that will be made available to participants at the time of the conference. OFFICIAL LANGUAGE The official language of the conference is English. ACCOMMODATION The organizing committee will arrange discounts on accommodation in the 4-star hotel at the conference venue. The current prices of the accommodation will be available at the conference website. ADDRESS All correspondence regarding the conference should be addressed to Ales Horak, TSD 2026 Faculty of Informatics, Masaryk University Botanicka 68a, 602 00 Brno, Czech Republic phone: +420-5-49 49 18 63 fax: +420-5-49 49 18 20 email: tsd2026(a)tsdconference.org The official TSD 2026 homepage is: http://www.tsdconference.org/tsd2026 LinkedIn: https://www.linkedin.com/company/tsdconference/ LOCATION Brno is the second largest city in the Czech Republic with a population of almost 400,000 and is the country's judiciary and trade-fair center. Brno is the capital of South Moravia, which is located in the south-eastern part of the Czech Republic and is known for its wide range of cultural, natural, and technical attractions. South Moravia is a traditional wine region. Brno had been a Royal City since 1347 and with its six universities it forms a cultural center of the region. Brno can be reached easily by direct flights from London, Milano, and Malaga, and by trains or buses from Vienna (150 km) or Prague (230 km). For the participants with some extra time, nearby places may also be of interest. Local ones include: Brno Castle now called Spilberk, Veveri Castle, the Old and New City Halls, the Augustine Monastery with St. Thomas Church and crypt of Moravian Margraves, Church of St. James, Cathedral of St. Peter & Paul, Cartesian Monastery in Kralovo Pole, the famous Villa Tugendhat (UNESCO) designed by Mies van der Rohe along with other important buildings of between-war Czech architecture. For those willing to venture out of Brno, Moravian Karst with Macocha Chasm and Punkva caves, battlefield of the Battle of three emperors (Napoleon, Russian Alexander and Austrian Franz - Battle by Austerlitz), Chateau of Slavkov (Austerlitz), Pernstejn Castle, Buchlov Castle, Lednice Chateau, Buchlovice Chateau, Letovice Chateau, Mikulov with one of the largest Jewish cemeteries in Central Europe, Telc - a town on the UNESCO heritage list, and many others are all within easy reach.

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Fully-funded Ph.D. Positions in Mechanistic Interpretability and Neurosymbolic NN by-design
by fabio.massimo.zanzotto＠uniroma2.it 14 Apr '26

14 Apr '26

The project: <https://aclanthology.org/2025.findings-acl.785/> Position Paper: MeMo: Towards Language Models with Associative Memory Mechanisms - ACL Anthology Do YOU have a strong mathematical background, good programming skills, passion and curiosity, the ability to think out of the box? This is the Ph.D. Program for YOU: * Position 1) Mechanistic Interpretability by-design in Neural-Network-based Large Language Models: This theme is in the context of the MeMo project that aims to build alternative ways to build transparent Large Language Models by explicitly using Associative Memories. * Position 2) Injecting Neuro-symbolic Natural Language Processing Capabilities in Neural-Network-based Large Language Models: This theme is in the context of the MeMo project that aims to build alternative ways to build transparent Large Language Models by explicitly using Associative Memories. The positions will formally open in mid-April 2026 and will start on November 1st, 2026. If you want to see if you fit the position, take this test <https://forms.office.com/e/sSCGhP9MgF> Open Fully-funded Ph.D. Positions in the Data Science Ph.D. School and book an informal chat to understand if the positions fit you. Positions are based in Ph.D. on Data Science at University of Rome Tor Vergata (Rome, Italy) in the <https://humancentricart.github.io/> HumanCentricART Group

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