October 2026 - Corpora

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

16 Oct '26

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

1 0

Call for Papers (ARR Commitment): End-to-End Research Workflow, Methods, and Applications for AI-Assisted Science (AIASci 2026)
by wei.zhao＠abdn.ac.uk 15 Oct '26

15 Oct '26

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

1 0

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

15 Oct '26

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

1 0

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

15 Oct '26

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

1 0

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

15 Oct '26

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

1 0

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

15 Oct '26

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

1 0

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

15 Oct '26

In this newsletter: Membership year 2027 publication preview Fall 2026 data scholarship recipients New publications: Global TIMIT L1 Tianjin - L2 English<https://catalog.ldc.upenn.edu/LDC2026S13> LoReHLT Turkish Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2026T10> Multi-Language Conversational Telephone Speech 2014 - French Group<https://catalog.ldc.upenn.edu/LDC2026S14> ________________________________ Membership year 2027 publication preview The 2027 membership year is approaching and plans for next year's publications are in progress. Among the expected releases are: * Fisher English Training Part 3 Speech: 1300+ hours of previously unreleased English conversational telephone speech from the Fisher collection with speaker metadata * Computational Cultural Understanding: multimodal data and annotations, assessments, results, and supplemental resources to support system development for analyzing and interpreting sociocultural norms, recognizing emotion across cultural contexts, and detecting changes that affect cultural understanding; includes Chinese, Japanese, Russian, Spanish, and Turkish releases * Urdu Conversational Telephone Speech and Transcripts: 74 Urdu telephone conversations (14 hours) with transcripts, developed to support language identification, spoken language recognition, and transcription of the Urdu language * Speech Biomarkers: 23 hours of spontaneous and elicited speech and corresponding transcripts from American English speakers designed to establish a baseline of language and speech patterns from healthy speakers for comparison with clinical populations such as persons with dementia * Global TIMIT: a continuing series of TIMIT-like read speech corpora, focusing on Mandarin Chinese, Mandarin Chinese dialects, and English Check your inbox for more information about membership renewal. Fall 2026 data scholarship recipients Congratulations to the recipients of LDC's Fall 2026 data scholarships: Muhammad Azeem: Comenius University Bratislava; Mathematical Institute, Slovak Academy of Sciences (Slovakia): PhD candidate. Muhammad is awarded copies of 2008 NIST Speaker Recognition Evaluation Training Set Part 1 LDC2011S05 and UCLA Speaker Variability Database LDC2021S09 for his work in speaker recognition and pairwise classification. Cole Baisch: Claremont Graduate University (USA): PhD candidate, Positive Development Psychology, Division of Behavioral and Organizational Sciences. Cole is awarded copies of Switchboard-1 Release 2 LDC97S62 and NXT Switchboard Annotations LDC2009T26 for his work in conversational quality. Chungche Huang: National Taiwan University (Taiwan): PhD candidate, Graduate Institute of Linguistics. Chungche is awarded a copy of ETS Corpus of Non-Native Written English LDC2014T06 for his work in LLM-based automated essay scoring. Zhengyang Li, PhD candidate, and Miguel von Aspern, M. Sc.: Technical University of Braunschweig (Germany): Institute of Communications Technology. Zhengyang and Miguel are awarded copies of Switchboard-1 Release 2 LDC97S62, Fisher English Training Speech, Part 1 Speech LDC2004S13, Fisher English Training Speech, Part 1 Transcripts LDC2004T19, Fisher English Training Part 2, Speech LDC2005S13 and Fisher English Training, Part 2 Transcripts LDC2005T19 for their work in low-latency and full-duplex spoken language modeling. Garrett Oliver: Presbyterian College (USA): B.A. English candidate, English Department. Garrett is awarded a copy of Penn Parsed Corpora of Historical English Second Edition LDC2025T09 for his work in Celtic influence in English. ________________________________ New publications: Global TIMIT L1 Tianjin - L2 English<https://catalog.ldc.upenn.edu/LDC2026S13> was developed by LDC and Tianjin University<https://en.tju.edu.cn/> and contains 43 hours of read speech and transcripts in the Tianjin dialect of Mandarin Chinese and English. Fifty speakers read sentences from an everyday Chinese sentence list, Chinese Gigaword Fifth Edition (LDC2011T13)<https://catalog.ldc.upenn.edu/LDC2011T13>, TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1)<https://catalog.ldc.upenn.edu/LDC93S1> and Treebank-3 (LDC99T42)<https://catalog.ldc.upenn.edu/LDC99T42>. Some sentences were read by all speakers, others were read by a few speakers, and others were read by just one speaker. The corpus was collected at Tianjin University, China. Speakers (25 female, 25 male) were born and raised in one of the six urban districts in Tianjin, China and spoke Tianjin. They were also fluent in English based on passing scores on a standard English assessment test. All recordings were aligned into word, phone, and tone segments. Each recording file has corresponding phone, tone, and word segmentation files and Praat TextGrid files. The Global TIMIT project aimed to create a series of corpora in a variety of languages with a similar set of key features as in the original TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1)<https://catalog.ldc.upenn.edu/LDC93S1> which was designed for acoustic-phonetic studies and for the development and evaluation of automatic speech recognition systems. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LoReHLT Turkish Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2026T10> was developed by LDC and contains 422 million words of Turkish monolingual text, about 830,000 words of which were translated into English, 84,000 Turkish words translated from English data, and 25 hours of Turkish broadcast news and amateur web audio recordings. Approximately 88,000 words were annotated for named entities and over 27,000 words were annotated for full entity including nominals and pronouns. Noun-phrase chunking was applied to more than 9,300 words. Over 6,200 words were morphologically aligned, and more than 25,400 words were labeled with simple semantic annotation. Topic annotation was applied to the audio recordings. Data was collected from discussion forum, news, reference, social network, broadcast news, web audio recordings, and weblogs. LoReHLT was a companion project of the DARPA LORELEI program. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * Multi-Language Conversational Telephone Speech 2014 - French Group<https://catalog.ldc.upenn.edu/LDC2026S14> was developed by LDC and contains 156 hours of Haitian Creole and West African French telephone speech. The data was collected to support research and technology evaluation in automatic language identification; portions of these recordings were used in the NIST 2015 and 2017 language recognition evaluations<https://www.nist.gov/itl/iad/mltg/language-recognition>. The collection focused on language pair discrimination for 20 languages/dialects, some of which could be considered mutually intelligible or closely related. This corpus contains 722 recordings: 412 Haitian Creole recordings and 310 West African French recordings. Participants were recruited by native speakers who contacted acquaintances in their social network. Those native speakers made one call, up to 8 minutes, to each acquaintance. Human auditors labeled the calls for language, callee gender, native speaker status, and speech clarity. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

1 0

DEADLINE EXTENDED: International Workshop on Multilingualism in Learner Corpus Research (MLCR27)
by Frey Jennifer-Carmen 15 Oct '26

15 Oct '26

Dear colleagues, We are pleased to announce that the abstract submission deadline for the "International Workshop on Multilingualism in Learner Corpus Research" (MLCR27) has been extended to 31st of October 2026. The workshop will take place on 6–7 May 2027 at Eurac Research in Bolzano, Italy. MLCR27 aims to bring together researchers working at the intersection of multilingualism and learner corpus research to discuss theoretical, methodological, and empirical issues in this emerging field. We welcome contributions on topics including multilingual learner corpus design and annotation, cross-linguistic influence, multilingual development, multilingual language practices, and methodological innovations in learner corpus research. Confirmed keynote speakers: * Heike Wiese (Humboldt University of Berlin, Germany) * Hildgunn Dirdal (University of Oslo, Norway) We invite submissions for full paper presentations, work-in-progress presentations, and posters. New submission deadline: 31st of October 2026 Please submit anonymised abstracts (max. 300 words, excluding references) via ConfTool: https://conftool.lt.eurac.edu/MLCR27/ For the full call for papers and further information, please visit: https://www.porta.eurac.edu/mlcr27/ We look forward to receiving your submissions and welcoming you to Bolzano! Best regards, Aivars Glaznieks and Jennifer-Carmen Frey Eurac Research, Bolzano porta(a)eurac.edu<mailto:porta@eurac.edu> ___ Jennifer-Carmen Frey, PhD [cid:498ac965-0a22-49b5-8568-d89da750be1f] <https://orcid.org/0000-0002-7008-6394> Eurac Research Institute for Applied Linguistics Drususallee/Viale Druso 1 I-39100 Bozen/Bolzano www.eurac.edu<http://www.eurac.edu/> Facebook<https://facebook.com/eurac.research> | YouTube<https://www.youtube.com/EURACtv> | X<https://twitter.com/eurac> | LinkedIn<https://www.linkedin.com/company/euracresearch> | Instagram<https://www.instagram.com/euracresearch/> [signature_1401579056]<https://www.eurac.edu/en> According to regulation (EU) 2016/679 this transmission is intended only for the use of the addressee and may contain confidential information. If you receive this transmission in error, please notify the sender immediately by email and delete all copies of this message and any attachments.

1 0

CfP – Special Issue on "Big Data Analytics and Mining for Information Retrieval" [BDCC Journal]
by Ida Mele 15 Oct '26

15 Oct '26

Dear Colleagues, We are pleased to invite submissions to the Special Issue "Big Data Analytics and Mining for Information Retrieval" in the "Big Data and Cognitive Computing" Journal (IF 5.3, CiteScore 11.4). This Special Issue seeks advanced analytics and mining methods that integrate big-data technologies with intelligent retrieval models. We welcome original research articles and review papers on research areas including, but not limited to: - web search - social media analytics - recommendation systems - enterprise search - digital libraries - biomedical informatics For details and submission instructions, visit the Special Issue webpage: https://www.mdpi.com/journal/BDCC/special_issues/4643ZF82B5 If you are interested in submitting a manuscript, kindly register a tentative title and abstract via the "Submit Abstract to Special Issue" form on the Special Issue webpage at your earliest convenience. Please feel free to share this invitation with colleagues and collaborators. We look forward to receiving your contributions. Kind regards, Guest Editor Dr. Ida Mele IASI-CNR, Rome, Italy

1 0

Open Position: Research Associate (m/f/d) at Goethe University Frankfurt - Application deadline: 31.10.2026
by Giuseppe Abrami 15 Oct '26

15 Oct '26

***Apologies for possible cross-posting **** *At Johann Wolfgang Goethe University Frankfurt am Main, the *Institute of Computer Science* within the *Faculty of Computer Science and Mathematics* is seeking to fill the following position in the *Professorship of Computational Humanities / Text Technology* (https://www.texttechnologylab.org) at the earliest possible date: *Research Associate (m/f/d)* (E 13 TV-G-U) The position is fixed-term for *three years*. The salary grade is based on the duties specified in the collective agreement applicable to Goethe University (TV-G-U). *Your responsibilities include:* * Academic services within the Professorship of Computational Humanities / Text Technology * Research involving the conception, development, and testing of algorithms for analyzing the dynamics of linguistic systems, particularly in the field of Computational Humanities * Modeling and implementing text-technological and linguistic analysis processes for historical and contemporary text corpora, including the use of deep-learning methods * Presenting and publishing the corresponding research findings at academic conferences and in relevant scholarly publications * Teaching text technology for four teaching hours per week (LVS) * Supervising practical courses and seminars * Supervising bachelor’s and master’s students and interns *Your profile:* * Proof of a completed university degree from a German or international university in computer science, computational linguistics, or digital humanities * In-depth knowledge of algorithmic modeling of linguistic systems * Strong knowledge of programming with Java, Python, and UIMA, as well as Computational Humanities / Text Technology * Experience working with and using deep-learning and transformer-based approaches We offer you an interesting, diverse, and varied range of responsibilities. Goethe University actively promotes equal opportunities, family-friendliness, and diversity. To strengthen the diversity of backgrounds and experiences at the university, we particularly welcome applications from people with a migration background and members of other groups that have so far been underrepresented. Applicants with severe disabilities, or those with equivalent status, will be given preference if equally qualified. Where women are underrepresented in the relevant faculty or central institution, they will be given preference if equally qualified. Johann Wolfgang Goethe University Frankfurt am Main is one of Germany’s largest universities, with approximately 41,000 students and around 7,000 employees. Founded by citizens of Frankfurt in 1914 and operating once again under the legal form of a foundation since 2008, Goethe University enjoys a high degree of autonomy, disciplinary diversity, and innovative capacity. As a comprehensive university, Goethe University currently offers 159 degree programs in 16 faculties across five campuses. It has outstanding research capabilities and a strong record of attracting third-party funding, and its researchers maintain close ties with society through a wide range of interactions. Goethe University is also part of the Rhine-Main Universities (RMU) alliance. Please send your application, including the usual supporting documents, *by October 31, 2026, exclusively as a PDF file* to Prof. Dr. Alexander Mehler at mehler(a)em.uni-frankfurt.de. Please note that application documents will not be returned. Goethe University will not reimburse any costs incurred during the application process. -- ------------------------------------------------------------------------ Giuseppe Abrami Text-Technology Lab Fakultät für Informatik und Mathematik Goethe-Universität Frankfurt Robert-Mayer-Strasse 10 4. Stock (Texttechnologie) 60325 Frankfurt am Main Postfach: 154 Tel: +49 69-798-28926 Fax: +49 69-798-28931 Mail: abrami(a)em.uni-frankfurt.de Web: http://www.texttechnologylab.org GitHub: abrami <https://github.com/abrami>|TTLab <https://github.com/texttechnologylab>

1 0

2026

2025

2024

2023

2022

Corpora October 2026