- Corpora - ELRA lists

Call for Papers: Corpus Linguistics 2025
by Robbie Love 07 Oct '24

07 Oct '24

Dear colleagues We are pleased to announce that the International Corpus Linguistics Conference 2025 (CL2025) - co-organised by Aston University, Birmingham City University, and the University of Birmingham - will take place from Tuesday 1st - Friday 4th July 2025 at Aston University<https://www.aston.ac.uk/>, preceded by a workshop day on Monday 30th June. The call for papers is now live on the CL2025 conference website: https://www.cl2025.co.uk/call-for-papers CL2025 welcomes submissions for paper presentations, poster presentations, thematic panels, and pre-conference workshops that engage in some way with the tools, methods, and techniques of corpus linguistics. KEY DATES * Submission deadline: 17th January 2025 * Notification of acceptance: 28th February 2025 * Early bird registration deadline: 2nd May 2025 * Conference dates: 1st - 4th July 2025 PLENARY SPEAKERS * Laurence Anthony (Waseda University, Japan) * Gavin Brookes (Lancaster University, UK) * Elizabeth Hanks (Northern Arizona University, USA) * Pascual Pérez-Paredes (University of Murcia, Spain) * Anna Marchi (University of Bologna, Italy) & Charlotte Taylor (University of Sussex, UK) For further information, please visit the conference website at www.cl2025.co.uk<http://www.cl2025.co.uk> or write to the CL2025 organising committee at corpuslinguistics2025(a)gmail.com<mailto:corpuslinguistics2025@gmail.com>. Best wishes Robbie Love On behalf of the CL2025 Organising Committee: Matt Gee (Birmingham City University), Andrew Kehoe (Birmingham City University), Joyce Lim (Aston University), Robbie Love (Aston University), Mark McGlashan (University of Liverpool), Akira Murakami (University of Birmingham), Paul Thompson (University of Birmingham) Dr Robbie Love (he/him) BA (Hons), ma, phd, cdls, fhea Senior Lecturer in English Language and Linguistics Programme Development Lead Department of English, Languages and Applied Linguistics School of Law and Social Sciences Aston University, Birmingham, UK [Aston University] Newsletter Editor, British Association for Applied Linguistics (BAAL)<https://www.baal.org.uk/> Communications Officer, BAAL Corpus Linguistics Special Interest Group<https://baal-clsig.weebly.com/> Organising Committee, Corpus Linguistics Conference 2025<https://www.cl2025.co.uk/> Research profile: research.aston.ac.uk/en/persons/robbie-love<https://research.aston.ac.uk/en/persons/robbie-love> Website: robbielove.org/<https://robbielove.org/>

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Job offer: Position as Administrative Employee - Application deadline: 15.10.2024
by Giuseppe Abrami 07 Oct '24

07 Oct '24

***Apologies for cross-postings*** At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, *one permanent position* for a *Administrative Employee (m/f/d) (E 8 TV-G-U, 50% part-time)* is available *at the next possible date*. The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U). The duties of this secretarial position include in particular the organization and support of the professorship and its staff in all administrative tasks. These result from their teaching, research and self-administration activities. This includes in particular: * Communication between students, the professorship and the administration, scheduling and room management, support for (teaching) events, processing and control of order and payment transactions as well as administration of personal, material and financial data. * Planning and administration of budget and third-party funds for the professorship. * Administrative organization and support of events (e.g. guest lectures, colloquiums, conferences) and business trips. * Communication with external partners from research and industry. * Maintenance of the professorships’ websites and completion of entries in the Goethe University LSF system. Requirements * Completed training in the administrative or commercial field, or comparable knowledge. * Ability to work in a team, to work independently, and interest in new tasks. * Very good communication skills, flexible and reliable customer- and service-oriented work, competent work organization, engaging and confident appearance. * Very good knowledge of Word / Excel / Power Point. * Good written and spoken English skills. If you are interested, please send your application *by 15.10.2024* with the usual documents in a PDF to Prof. Dr. Alexander Mehler: mehler(a)em.uni-frankfurt.de. -- ------------------------------------------------------------------------ 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

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Two open positions for: Data science and AI expert on NLP at Barcelona Supercomputing Center, Spain
by Martin Krallinger 07 Oct '24

07 Oct '24

We have two open positions (start ASAP) here at my group at BSC: Data science and AI expert on NLP - Position 1: https://www.bsc.es/join-us/job-opportunities/67024lsnlpre2 <https://lnkd.in/dtBKEN9P> - Position 2: https://www.bsc.es/join-us/job-opportunities/66924lsnlpre2 <https://lnkd.in/dYBDVTqP> *Context And Mission:* The Natural Language Processing for Biomedical Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text mining solutions applied primarily to biomedical and clinical data. It is a highly interdisciplinary team, funded through competitive European and National projects requiring the implementation of natural language processing and advanced AI solutions making use of diverse technologies, including Transformers and recent advances in Large Language Models (LLM) to improve healthcare data analysis. The NLP4BIA-BSC is looking for a Research Engineer with experience in Language Technologies and Deep Learning. The candidate will be involved in technical work related to international projects, being part of a team of researchers working on topics related to clinical Language Models, multilingual NLP, benchmarking of language technology solutions and predictive content mining. The candidate will have the opportunity to advance the state of the art of biomedical language models and NLP methods working in a multidisciplinary environment alongside AI experts, computational linguists, clinical experts, and other engineers. *DUTIES*: - Predictive NLP model development: Development of advance content mining predictive solutions including clinical NLP, automatic text classification - Pre-training of medical language models for healthcare application scenarios and tasks. - Technical project coordination: Coordinate technical contributions inside the team and with clinical hospital site project collaborators. - Implementation and deployment of clinical NLP solutions: Collaborate in the implementation and technical deployment of NLP platform prototypes at clinical sites. - Documentation and Reporting: Contribute to technical reports and project documentation *REQUIREMENTS* *Education*: University degree in Computer Science, Computational Linguistic, or engineering discipline. Candidates with a minimum of a master's degree will be considered. *Essential Knowledge and Professional Experience:* - Demonstrated experience in Natural Language Processing technologies - Experience in developing and training models using transformer architectures. - Practical experience with deep learning libraries (e.g. Pytorch, TensorFlow, Spacy, Transformers…) - Knowledge of deep learning methods for pre-training large language models using transformer architectures (like BERT, RoBERTA, DeBERTA, GPT, Bloom) as well as learning to implement LLMs. - Advanced programming skills in Python. - Experience in software development resources (Git) ======================================= Martin Krallinger, Dr. Head of NLP for Biomedical Information Analysis Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ =======================================

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CFP NoDaLiDa/Baltic-HLT 2025 workshop on Automatic Assessment of Atypical Speech
by Kurimo Mikko 06 Oct '24

06 Oct '24

Dear all, We’re happy to invite you to participate and submit papers to our new workshop “Automatic Assessment of Atypical Speech (AAAS)” that has been accepted to a full day workshop in March 5, 2025 in Tallinn within the NoDaLiDa/Baltic-HLT conference. The papers can be short (4p + ref) or long (8p + ref) as in the main conference. Submission DL 16 Dec, 2024. Please also consider volunteering to review 2-3 papers. For details visit the workshop page: https://teflon.aalto.fi/aaas-2025/ and the main conference page: https://www.nodalida-bhlt2025.eu/ Best regards, Mikko Kurimo (chair) and the organizing committee

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CFP - VarDial 2025 and NorSID shared task
by Yves Scherrer 04 Oct '24

04 Oct '24

Co-located with COLING 2025, VarDial deals with computational methods and language resources for closely related languages, language varieties, and dialects. VarDial will be held on Sunday, January 19th, 2025. https://sites.google.com/view/vardial-2025/home 1. Call for Shared Task Participation As part of VarDial 2025, we are organizing a shared task on dialect identification and slot and intent detection for Norwegian varieties (NorSID). For further information and instructions for participants, please visit the shared task page: https://sites.google.com/view/vardial-2025/shared-tasks Important dates: - Training and development set release: October 7, 2024 - Test set release: November 4, 2024 - Submissions due: November 15, 2024 - Paper submission deadline: November 25, 2024 - Notification of acceptance: December 5, 2024 - Camera-ready papers due: December 13, 2024 2. Call for Workshop Papers We welcome papers dealing with one or more of the following topics: - Corpora, resources, and tools for similar languages, varieties and dialects; - Adaptation of tools (taggers, parsers) for similar languages, varieties and dialects; - Evaluation of language resources and tools when applied to language varieties; - Reusability of language resources in NLP applications (e.g., for machine translation, POS tagging, syntactic parsing, etc.); - Corpus-driven studies in dialectology and language variation; - Computational approaches to mutual intelligibility between dialects and similar languages; - Automatic identification of lexical variation; - Automatic classification of language varieties; - Text similarity and adaptation between language varieties; - Linguistic issues in the adaptation of language resources and tools (e.g., semantic discrepancies, lexical gaps, false friends); - Machine translation between closely related languages, language varieties and dialects. In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects). Important dates: - Paper submission deadline: Tuesday, November 5th, 2024 - Notification of acceptance: Monday, November 25th, 2024 - Commitment deadline for pre-reviewed papers: TBD - Camera-ready papers due: Friday, December 13th, 2024 Detailed submission guidelines available on the COLING 2025 website. All submissions must use the official COLING templates. Contributions must be submitted to Softconf: https://softconf.com/coling2025/VarDial25/ Further information about submission is available on the workshop site: https://sites.google.com/view/vardial-2025/call-for-papers Organizers Yves Scherrer - University of Oslo (Norway) Tommi Jauhiainen - University of Helsinki (Finland) Nikola Ljubešić - Jožef Stefan Institute (Slovenia) and University of Ljubljana (Slovenia) Preslav Nakov - Mohamed bin Zayed University of Artificial Intelligence (UAE) Jörg Tiedemann - University of Helsinki (Finland) Marcos Zampieri - George Mason University (USA)

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PhD job offer: Language technology for cultural heritage (1.0 FTE; deadline 14 October)
by a.w.van.cranenburgh＠rug.nl 04 Oct '24

04 Oct '24

The Computational Linguistics group (GroNLP) of the Center for Language and Cognition Groningen (CLCG) is looking for a PhD student in “Language technology for cultural heritage: New discoveries with little data” within the HAICu research project. The HAICu project is a large-scale Dutch research project by universities and cultural-heritage institutions into new forms of Artificial Intelligence-based access to multimodal Cultural-Heritage data, both contemporary and historical. Within HAICu, AI researchers, Digital Humanities researchers and a wide range of public and private partners will co-develop scientific solutions to unlock the true societal potential of the current heterogeneous digital heritage collections. It will provide easier, richer and more reliable data access to citizens, journalists, civic organisations, and various other stakeholders. HAICu is funded by the NWO National Science Agenda (NWA) and has a budget of about EUR 10 million. HAICu has started in January 2024 and will last 6 years (until Jan 2030). For more information about HAICu, please see https://www.haicu.science/ The PhD Project This specific PhD position is about effectively dealing with missing and sparse labels in humanities datasets such as literature, history, philosophy. Cultural heritage institutions, and especially the National Library of the Netherlands, offer access to a lot of digitized data which can be leveraged through computational approaches. However, it is very common that the data is incomplete. This is a challenge for typical machine learning methods that rely on being fed with representative and complete data, leading to systems that cannot handle distribution shifts or extrapolating beyond their training set. Recent developments in artificial intelligence have shown that large language models are able to learn from small amounts of training data, or even none at all (few shot and zero shot learning). Paired with more and more accessible techniques for specializing existing models for target domains and tasks, a lot of new possibilities open up for cultural heritage data, which will be explored within this project. Examples of possible topics include - Investigating literary reception and prestige over time. - Detecting and mapping intertextuality within texts. - Uncovering the influences and biases over time in datasets. - Monitoring the evolution of concepts in textual datasets. - Improving the robustness of models to out-of-distribution data. The project will, in collaboration with the National Library of The Netherlands, be coordinated by Andreas van Cranenburgh, Tommaso Caselli, and Malvina Nissim at the University of Groningen. This is an interdisciplinary project at the intersection of Computational Linguistics/Natural Language Processing (NLP) and the humanities. You will be asked to - Develop a specific research proposal within the proposed theme. - Review the academic literature relevant to the project’s goals. - Carry out research, present your results and author scientific articles on the above mentioned topics. - Collaborate with members of the Computational Linguistics group at the University of Groningen, the National Library, and with the broader Haicu consortium. - Engage and collaborate with other researchers working on computational humanities research. - Complete a PhD thesis written in English in the specified timeframe (4 years). - Collaborate on outreach and public engagement activities. - Gain teaching experience. This PhD project offers a unique opportunity to work in an international environment and to acquire valuable research experience: You will be carrying out research in the context of the Computational Linguistics group of the Center for Language and Cognition (CLCG) of the University of Groningen, and will be spending at least one day a month at the National Library in The Hague. For more information, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…

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CFP - SemEval 2025 Task 8: Question Answering on Tabular Data
by Eugenio Martínez Camara 04 Oct '24

04 Oct '24

[apologies if you receive multiple copies of this call] CALL FOR PARTICIPATION - SemEval 2025 Task 8: Question Answering on Tabular Data We are pleased to announce the first SemEval task on Question Answering on Tabular Data. Our SemEval 2025 task consists of Question Answering over Tabular Data making use of the DataBench benchmark. DataBench is a benchmark composed of real-world table datasets from different domains and with large size of rows and columns, as well as a wide variety of data types that allow to assess distinct sort of questions related to each data type. We propose a task to encourage participants to develop a system that answers the questions of the kind present in DataBench over day-to-day datasets, where the answer is either a number, a categorical value, a boolean value or lists of several types. DataBench can be used as a training and validation set, while we will release another test set explicitly compiled for the task competition. The system developed by the participants will be provided by a series of (dataset, question) pairs and will need to provide an answer which would then be compared with a gold standard. The answer might be achieved through a variety of methods. In our paper we illustrate two different approaches: In-Context Learning and Code Generation. You may use any of these or come up with your own approach. There will be two subtasks: Subtask I : DataBench QA Participants will be provided with a dataset (of any size) and a question over it. The question should be answered using the data from the dataset only. Subtask II: DataBench Lite QA The task is essentially the same as the previous subtask, but involves using the sampled version of each dataset with a maximum of 20 rows per dataset (see explanation on DataBench Lite). The question should be answered using the data from the sampled dataset only. For the test set, we will similarly provide a reduced version of each dataset for this subtask. This task is especially relevant when testing for models with a smaller window size. Important Dates Official Competition start 10 January 2025 Competition end 31 January 2025 Task Organizers Jorge Osés Grijalba - Graphext L. Alfonso Ureña-López and Eugenio Martínez Cámara - University of Jaén Jose Camacho-Collados - Cardiff University Competition website: https://jorses.github.io/semeval/ Codabench: https://www.codabench.org/competitions/3360/ Google Group: https://groups.google.com/g/semeval-25-t8-tabularqa -- Suelo trabajar a deshoras por lo que este correo puede haberte llegado fuera de tu horario laboral, y al cual puedes responder en el momento que mejor se ajuste a tus hábitos de trabajo. | I sometimes work at irregular times and this email might arrive out of working hours so please be assured that I respect your working pattern and look forward to your response when it suits you. ------- Eugenio Martínez Cámara. Vicepresidente de la SEPLN <http://www.sepln.org/> | Vice President of the SEPLN <http://www.sepln.org/en>. Investigador en Proc. del Lenguaje Natural | Postdoctoral Researcher in Natural Language Proc. Grupo de Investigación SINAI <http://sinai.ujaen.es/> | SINAI <http://sinai.ujaen.es/> Research Group. Profesor Titular | Associate Professor. Dpto. de Informática | Computer Science Department. Universidad de Jaén.

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2nd Call for Papers: The First Workshop of Evaluation of Multi-Modal Generation
by mongyuansim＠gmail.com 04 Oct '24

04 Oct '24

Dear Colleagues, We are delighted to announce the second CfP for The First Workshop of Evaluation of Multi-Modal Generation @ COLING 2025. It is now open and closes on 20th November 2024 (11:59PM AoE UTC-12). Website link: https://evalmg.github.io/ The 1st Evaluation of Multi-Modal Generation Workshop @ COLING 2025 ---------------------------------------------------------------------------------------------------------- Multimodal generation techniques have opened new avenues for creative content generation. However, evaluating the quality of multimodal generation remains underexplored and some key questions are unanswered, such as the contributions of each modal, the utility of pre-trained large language models for multimodal generation, and measuring faithfulness and fairness in multimodal outputs. This workshop aims to foster discussions and research efforts by bringing together researchers and practitioners in natural language processing, computer vision, and multimodal AI. Our goal is to establish evaluation methods for multimodal research and advance research efforts in this direction. Call for Papers ---------------------- Both long paper and short papers (up to 8 pages and 4 pages respectively with unlimited references and appendices) are welcomed for submission. A list of topics relevant to this workshop (but not limited to): - Evaluation metrics for multimodal text generation for assessing informativeness, factuality and faithfulness - New benchmark datasets, evaluation protocols and annotations - Challenges in evaluating multimodal coherence, relevance and contribution of modalities and inter- and intra-interactions - Assessing information integration and aggregation across multiple modalities - Adversarial evaluation approaches for testing the robustness and reliability of multimodal generation systems - Ethical considerations in the evaluation of multimodal text generation, including bias detection and mitigation strategies - Multilingual multimodal text generation systems for low-resource languages - Evaluating fairness and privacy in multimodal learning and applications Important Dates --------------------------- - Nov 20, 2024: Paper submission due date - Dec 05, 2024: Notification of acceptance - Dec 11, 2024: Camera-ready version due - Jan 20, 2025: Workshop Date Note: All deadlines are 11:59PM UTC-12:00 (“Anywhere on Earth”) Submission Instructions ------------------------------------- You are invited to submit your papers in our START/SoftConf submission portal. All the submitted papers have to be anonymous for double-blind review. The content of the paper should not be longer than 8 pages for long papers and 4 pages for short papers, strictly following the COLING 2025 templates, with the mandatory limitation section not counting towards the page limit. Supplementary and appendices (either as separate files or appended after the main submission) are allowed. We encourage code link submissions for reproducibility. Submission Link: https://softconf.com/coling2025/EvalMG25 ACL style template: https://coling2025.org/calls/submission_guidlines/ Non-archival Option ------------------------------- To promote discussions within the community, our workshop includes non-archival track. Authors have the flexbility to submit their unpublished work or papers accepted to COLING main conference to our workshop. The organisers may offer the opportunity to give oral or poster presentation. Organisers ------------------------------- * Wei Emma Zhang, The University of Adelaide * Xiang Dai, CSIRO * Desmond Elliot, University of Copenhagen * Byron Fang, CSIRO * Haojie Zhuang, The University of Adelaide * Mong Yuan Sim, The University of Adelaide & CSIRO * Weitong Chen, The University of Adelaide Kind regards, COLING25 EvalMG Organisers

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ComputEL-8 workshop: regular + special sessions - final Call-for-Papers (DL postponed to Oct. 14)
by Antti Arppe 04 Oct '24

04 Oct '24

ComputEL-8: Eighth Workshop on the Use of Computational Methods in the Study of Endangered Languages FINAL CALL FOR PAPERS for REGULAR SESSION (and SPECIAL SESSION) Submission deadline (POSTPONED): October 14, 2024 Submission link: https://easychair.org/conferences/?conf=computel8 REGULAR SESSION (For details about Special Session, scroll further below.) We encourage submissions that explore the interface and intersection of computational linguistics, documentary linguistics, and community-based efforts in language revitalization and reclamation. This includes submissions that: (i) propose or demonstrate new methods or technologies for tasks or applications focused on low-resource settings, and in particular, endangered languages (ii) examine the use of specific methods in the analysis of data from low-resource languages, or propose new methods for analysis of such data, oriented toward the goals of language reclamation and revitalization (iii) propose new models for the collection, management, and mobilization of language data in community settings, with attention to e.g. issues of data sovereignty and community protocols (iv) explore concrete steps for a more fruitful interaction among computer scientists, documentary linguists, and language communities IMPORTANT DATES 14-Oct-2024 Deadline for submission of papers or extended abstracts 22-Nov-2024 Notification of Acceptance 10-Jan-2025 Camera-ready papers due 4 & 5 March 2025 Workshop PRESENTATIONS Presentation of accepted papers will be in both oral sessions and a poster session. The decision on whether a presentation for a paper will be oral and/or poster will be made by the Organizing Committee on the advice of the Program Committee, taking into account the subject matter and how the content might be best conveyed. Oral and poster presentations will not be distinguished in the Proceedings. SUBMISSIONS In line with our goal of reaching multiple overlapping communities, we offer two modes of submission: extended abstract and full paper. The mode of submission does not influence the likelihood of acceptance. Either can be submitted to one of the workshop’s tracks: (a) language community perspective and (b) academic perspective. Submissions must be uploaded to EasyChair (https://easychair.org/conferences/?conf=computel8) no later than October 14, 2024 11:59PM (UTC-12, “anywhere on earth”). Submissions may be considered for both the regular session and the special session. All submissions must be anonymous following ACL guidelines and will be peer-reviewed by the scientific Program Committee. A. Extended Abstract: Please submit anonymous abstracts of up to 1500 words, excluding references. Extended abstracts must be submitted as attached documents. B. Full Paper: Please submit anonymously either a) a long paper - max. 8 pages excluding references and appendices; or b) a short paper - max. 4 pages excluding references, according to the style and formatting guidelines provided in by ACL Style Files (download template files for LaTeX or Microsoft Word: https://github.com/acl-org/acl-style-files). PROCEEDINGS The authors of selected accepted full papers (long or short) will be invited by the Organizing Committee to submit their papers for online publication via the open-access ACL Anthology. Final versions of long and short papers will be allotted one additional page (altogether 5 and 9 pages) excluding references. Proceedings papers should be revised and improved versions of the work that was submitted for, and which underwent, review. Any revisions should concern responses to reviewer comments or the addition of relevant details and clarifications, but not entirely new, unreviewed content. Camera-ready versions of the articles for publication will be due on January 10, 2025. Please see the ComputEL-8 website for further information: https://computel-workshop.org/computel-8/ SPECIAL THEME SESSION - BUILDING TOOLS TOGETHER In addition to the main session, ComputEL-8 invites self-identified submissions to a special themed session on “Building Tools Together”, oriented toward amplifying our shared understanding of how best to work together across disciplinary and cultural boundaries to build technological tools that support community language revitalization. We invite presentations that: (1) describe collaborations in the development of new tools and technologies; and/or (2) describe or identify technological or computational needs within community language reclamation contexts, and/or propose solutions. 1. For presentations that describe a collaboration among language communities, academic researchers, and (in some cases) industry or non-governmental organizations towards the development of new tools, resources, and technologies in, we encourage submissions which address questions such as: a. How did the idea for the tool or technology come about? b. How did the team members meet and come to work together? c. What has been the impact of this tool? How are you evaluating it? How has the project d. benefitted community efforts at language maintenance and revitalization? d. What are some challenges (logistical, technical, interdisciplinary, intercultural) that you encountered, and how did you address them? e. How have you balanced the needs and priorities of different team members through the lifespan of the project? f. What lessons have you learned that might benefit similar collaborations? 2. For presentations that identify technological or computational needs within community language reclamation contexts, and/or propose solutions, e we encourage submissions which address questions such as: a. What is the need that this tool would meet? Who will it serve? b. What is the blue-sky version of this tool? What is the minimum viable product version? c. What kinds of data, digital assets, or media content would be required to create the tool, and how would they be assembled? d. What challenges might the team face in the development process? e. How do you anticipate the collaborative process to best incorporate diverse areas of expertise from cultural and community-grounded knowledge to academic, technical, and production-oriented knowledge? Please submit anonymous extended abstracts of up to 1500 words, excluding references. Submissions representing community-led collaborations are strongly encouraged. Submissions must be uploaded to EasyChair (https://easychair.org/conferences/?conf=computel8) no later than October 14, 2024 11:59PM (UTC-12, “anywhere on earth”). Submissions may be considered for both the regular session and the special session. Notification of acceptance to the Special Session will be sent out by November 22, 2024. All authors of papers in the Special Theme Session will be invited to contribute to a follow-up paper that synthesizes the findings of the Session. IMPORTANT DATES 14-Oct-2024 Deadline for submission of papers or extended abstracts 22-Nov-2024 Notification of Acceptance 10-Jan-2025 Camera-ready papers due 4 & 5 March 2025 Workshop Please see the ComputEL-8 website for further information: https://computel-workshop.org/special-theme-session-building-tools-together/ ORGANIZING COMMITTEE Godfred Agyapong (University of Florida) Antti Arppe (University of Alberta) Aditi Chaudhary (Google DeepMind) Jordan Lachler (University of Alberta) Sarah Moeller (University of Florida) Shruti Rijhwani (Google DeepMind) Daisy Rosenblum (University of British Columbia) Olivia Waring (University of Hawai'i Mānoa) CONTACT US WEB: https://computel-workshop.org/ComputEL-8/ EMAIL: computel.workshop(a)gmail.com -- ====================================================================== Antti Arppe - Ph.D (General Linguistics), M.Sc. (Engineering) Professor of Quantitative Linguistics Director, Alberta Language Technology Lab (ALTLab) Project Director, 21st Century Tools for Indigenous Languages (21C) Past President, ACL SIG for Endangered Languages (SIGEL) Department of Linguistics, University of Alberta E-mail: arppe(a)ualberta.ca, antti.arppe(a)iki.fi WWW: www.ualberta.ca/~arppe, altlab.artsrn.ualberta.ca Mānahtu ina rēdûti ihza ummânūti ihannaq - dulum ugulak úmun ingul ----------------------------------------------------------------------

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HPLT Datasets version 2.0 released
by Andrey Kutuzov 03 Oct '24

03 Oct '24

(Apologies for cross-posting) Version 2.0 of the HPLT Datasets is now published, with web-derived corpora in 193 languages. These collections are available under the Creative Commons CC0 license and bring significant improvements compared to previous releases (version 1.2). Similarly to 1.2, the release comes in two variants: de-duplicated (21 TB in size) and cleaned (15 TB in size). The cleaned variant contains the same documents as de-duplicated minus those filtered out by our cleaning heuristics. The cleaned variant is the recommended one, unless you want to try your own cleaning pipelines. Download the corpora here: https://hplt-project.org/datasets/v2.0 Similar to the previous releases, version 2.0 datasets are hosted by Sigma2 NIRD Data Lake (https://www.sigma2.no/service/nird-data-lake), and text extraction pipeline was run on LUMI supercomputer (https://lumi-supercomputer.eu/). *What's new* - The size of the source web collections has increased 2.5x: 4.5 petabytes of compressed web data in total, mostly from Internet Archive (https://archive.org/), but also from Common Crawl (https://commoncrawl.org/). - The text extraction pipeline now uses Trafilatura (https://trafilatura.readthedocs.io/), which results in more efficient boilerplate removal: thus, less noise in the data. - Language identification now uses a refined version of OpenLID (https://aclanthology.org/2023.acl-short.75/). - This, in turn, allowed us to publish data in 193 languages, compared to 75 languages in version 1.2. - We switched from two-letter ISO 639-1 language codes to three-letter ISO 639-3 language codes, augmented with a postfix denoting writing system. For example, `pol_Latn` is Polish written in Latin script. Mapping from the old to the new codes is available at https://github.com/hplt-project/warc2text-runner/blob/main/stats/_langs/lan…. - The documents are now annotated with their compliance to the robots.txt file of the original website. This metadata field can be used to filter out documents explicitly forbidden for crawling by website owners, making the resulting corpora somewhat less prone to copyright violations . The cleaned variant contains only robots.txt compliant documents. More details at https://github.com/hplt-project/monotextor-slurm/blob/main/README.md#robots… - De duplication is done at collection-level, not at dataset level. - Documents have also been annotated for PII information with multilingual-pii-tool (https://github.com/mmanteli/multilingual-PII-tool). These are identified in the form of Unicode character offsets for every match. - Segment-level language-model-based scores have been replaced by document quality scores computed with web-docs-scorer. - Filtering and cleaning criteria have been simplified (https://github.com/hplt-project/monotextor-slurm?tab=readme-ov-file#filters). HPLT Monolingual Datasets version 2.0 (the de-duplicated variant) feature about 7.6 trillion whitespace-separated words and about 52 trillion characters extracted from 21 billion documents, compared to 5.6 trillion words and 42 trillion characters extracted from 5 billion documents in version 1.2. All in all, you can expect less noise and boilerplate, less duplicates, more unique documents, and generally better quality texts to train language models on or for other NLP tasks. *How was this dataset produced* You may want to read section 3 of our Deliverable HPLT pipeline and tools (https://hplt-project.org/HPLT_D7_2___HPLT_pipelines_and_tools.pdf) to have a full description on how did we produced this dataset. If you don't have much time for reading, maybe this chart is enough for your purposes: https://hplt-project.org/_next/static/media/dataset-pipeline-light.c2521ee1… Each language is accompanied with an HPLT Analytics report. These automated reports provide useful information and statistics about the clean version of the HPLT v.2.0 datasets. They are the result of running the HPLT Analytics Tool (https://github.com/hplt-project/data-analytics-tool) on them. They are helpful for inspecting the datasets even before downloading them. *What is HPLT?* HPLT (High Performance Language Technologies) is an EU Horizon Europe funded project which aims at collecting large quantities of data in many languages and training powerful and efficient language and translation models. An important feature of HPLT is openness and transparency: all the artifacts of the project are publicly available under permissive licenses. https://hplt-project.org/ -- Andrey Language Technology Group (LTG) University of Oslo

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