- Corpora - ELRA lists

PhD position in NLP/CL at IT University of Copenhagen
by Anna Rogers 04 Apr '24

04 Apr '24

Anna Rogers <anna.gld(a)gmail.com> 10:36 AM (2 hours ago) to Corpora The Department of Computer Science at the IT University of Copenhagen is offering a PhD position in Natural Language Processing/Computational Linguistics*,* with a start date of *1 September 2024*. The *application deadline is 1**5* *April** 2024.* Applications for the position can be submitted via ITU job portal <https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181…> . *Proposed project title: *Linguistic competence of language models in prompt interpretation and text generation *Proposed project description.* Recent generative systems based on pre-trained language models are remarkably fluent when generating even relatively exotic kinds of text, such as limericks or texts in early middle English. At the same time, they remain sensitive to slight variation in the wording of the prompts. The proposed project will investigate this difference in competence for different linguistic phenomena when the model interprets its instructions (prompts) and generates text in response to prompts. *The specific focus of the project is negotiable*, it could be syntactic constructions, variations in lexical semantics, text registers etc. Model competence will be assessed with respect to analysis of its pre-training data (hence, an open-source model will be used). The ideal candidate would have a strong background in computational linguistics, as well as core skills in programming in Python and machine learning. For entering the PhD program in Denmark, a M.Sc. or equivalent degree is required. For this position, it is also possible to start as a Master student, if extra ECTs are needed (for students who currently have 60-115 MA ECTS). The successful candidate will be a member of the national Pioneer Centre for Artificial Intelligence <https://aicentre.dk/>, a 5-university Danish research endeavor, and of the NLPnorth <https://nlpnorth.github.io/>research group at the IT University’s Computer Science Department. Both the centre and research group are highly international and well-funded, working on a broad range of research topics. The project will be co-supervised by Associate Professors Anna Rogers <https://annargrs.github.io/> (arog(a)itu.dk) and Rob van der Goot <https://robvanderg.github.io/> (robv(a)itu.dk), to whom inquiries about the project can be directed. -- Anna Rogers Associate Professor IT University of Copenhagen http://annargrs.github.io/

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Postdoc opening at UT Austin
by Matt Lease 04 Apr '24

04 Apr '24

I have a postdoc opening in my lab with *applications due April 10th*. See Bullard Research Fellow (BRF) area 7 (“*BRF7*”) in the job ad here: https://apply.interfolio.com/142711. "BRF7) We seek applicants in natural language processing (NLP), information retrieval (IR), and human computation & crowdsourcing (HCOMP). Our work on responsible AI develops methods for model explanations and fairness. We build automated and human-in-the-loop models. We develop general methods to advance the state-of-the-art, grounded in social challenges like curbing disinformation and hate speech. A variety of our ongoing work touches on large language models (LLMs). This position will be mentored by Matt Lease <https://www.ischool.utexas.edu/~ml/>, as part of his lab for Artificial Intelligence and Human-Centered Computing <http://ai.ischool.utexas.edu/> (AI&HCC), and provide collaboration opportunities in UT Austin’s campus-wide Good Systems <http://goodsystems.utexas.edu/> grand challenge for responsible AI." Please see the job ad for full details about the opening: https://apply.interfolio.com/142711. -- Matt Lease Professor Information & Computer Science University of Texas at Austin Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536 http://www.ischool.utexas.edu/~ml

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Second Call for Participation: Shared Task: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance (SMM4H@ACL2024 - Task 2)
by Pierre Zweigenbaum 03 Apr '24

03 Apr '24

Apologies for cross-posting. --------------------------------------------------------------------------- There is still time to participate in this shared task---evaluation phase from April 17 to 24. **Social Media Mining For Health 2024** https://healthlanguageprocessing.org/smm4h-2024/ The Social Media Mining for Health (SMM4H) workshop and shared tasks have been running successfully since 2016. They now go into the 9th round, with the workshop being co-located at ACL 2024 in Bangkok. https://2024.aclweb.org/ Bangkok, Thailand , August 12–17, 2024 **Important Dates for all SMM4H Shared Tasks** Training data available: January 10, 2024 CodaLab Available: January 17, 2024 Evaluation Phase: April 17 - 24, 2024 System description paper due: May 17, 2024 Paper acceptance notification: June 17, 2024 Camera-ready papers due: July 1, 2024 Workshop in Bangkok, Thailand , August 15, 2024 **Task 2: Task Description** Adverse Drug Events (ADEs) are negative medical side effects related to a drug. Mining ADEs from user-generated text has become a popular topic and is an important use case for research, as it could help detecting crowd signals from users online. Being able to make use of information across languages by applying multi-lingual methods further supports this endeavor. Our task targets the languages *German, French and Japanese* and is split into two subtasks. Subtask 2a focuses on Named Entity Recognition (NER) of of medication, disorder, and function mentions from user-generated texts. Subtask 2b performs joint NER and Relation Extraction (RE) to determine if these disorders are ADEs by finding the correct relations between medications, disorders and functions. We distinguish two types of relations between medication mentions and disorder/function mentions: - "caused": the disorder/function was caused by a medication, i.e., the disorder/function is an ADE - "treatment_for": the disorder/function is the reason for the medication, i.e., the medication is supposed to treat the disorder/function *Tasks*: Participants can choose between participating in subtask 2a, or subtask 2b, or both. ~~ We explicitly encourage the submission of new and creative approaches! ~~ - Subtask 2a) Named entity recognition of the entities "drug", "disorder" and "function" from user-generated texts. - Subtask 2b) Joint named entity and relation extraction of the entities "drug", "disorder" and "function" and the relations "caused" and "treatment_for". *Data*: The data originates from social media platforms, e.g., patient fora and X (Twitter). We provide data in German and Japanese, and a few examples in French. The submitted systems will be evaluated on German, French and Japanese data. Please find more information here: https://healthlanguageprocessing.org/smm4h-2024/ Please use this form to register: https://forms.gle/7w4si27uJrCMiTyL8 Organizers of Subtask 2: Pierre Zweigenbaum, Université Paris-Saclay, CNRS, LISN, France Sebastian Möller, Technische Universität Berlin, DFKI GmbH, Germany Roland Roller, DFKI GmbH, Germany Philippe Thomas, DFKI GmbH, Germany Eiji Aramaki, NAIST, Japan Shoko Wakamiya, NAIST, Japan Shuntaro Yada, NAIST, Japan Katherine Yeh, Université Paris-Saclay, CNRS, LISN, France Lisa Raithel, Technische Universität Berlin, Germany & Université Paris-Saclay, CNRS, LISN, France -- Pierre Zweigenbaum Senior Researcher Université Paris-Saclay, CNRS, LISN

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1st Call For Papers, Fifth Workshop on Privacy in Natural Language Processing at ACL 2024
by Ivan Habernal 03 Apr '24

03 Apr '24

PrivateNLP 2024: Fifth Workshop on Privacy in Natural Language Processing at ACL 2024 1st Call For Papers ACL PrivateNLP is a full day workshop taking place on August 15, 2024 in conjunction with ACL 2024. Workshop website: https://sites.google.com/view/privatenlp/ Important Dates: • Submission Deadline: May 17, 2024 • Acceptance Notification: June 17, 2024 • Camera-ready versions: July 01, 2024 • Workshop: August 15, 2024 Privacy-preserving data analysis has become essential in the age of Large Language Models (LLMs) where access to vast amounts of data can provide gains over tuned algorithms. A large proportion of user-contributed data comes from natural language e.g., text transcriptions from voice assistants. It is therefore important to curate NLP datasets while preserving the privacy of the users whose data is collected, and train LLMs models that only retain non-identifying user data. The workshop aims to bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to designing, building, verifying, and testing privacy preserving systems in the context of Natural Language Processing. Topics of interest include but are not limited to: * Privacy in Large Language Models * Generating privacy preserving test sets * Inference and identification attacks * Generating Differentially private derived data * NLP, privacy and regulatory compliance * Private Generative Adversarial Networks * Privacy in Active Learning and Crowdsourcing * Privacy and Federated Learning in NLP * User perceptions on privatized personal data * Auditing provenance in language models * Continual learning under privacy constraints * NLP and summarization of privacy policies * Ethical ramifications of AI/NLP in support of usable privacy * Homomorphic encryption for language models Submissions: Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all, and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. We'll be using OpenReview - the final submission link will be specified later Organizers: Sepideh Ghanavati, University of Maine Abhilasha Ravichander, Allen AI Niloofar Mireshghallah, University of Washington Ivan Habernal, Paderborn University Seyi Feyisetan, Amazon Patricia Thaine, Private AI Contact us: privatenlp24-orga(a)lists.uni-paderborn.de

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[CFP] ACL 2024 Workshop on Knowledge Graphs and LLMs (KaLLM)
by russa biswas 03 Apr '24

03 Apr '24

Dear colleagues, We would like to invite you to submit the unpublished results of your research on Knowledge Graphs and Large Language Models to: *The 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM)*, to be held on *August 15, 2024*, co-located with *ACL 2024*, Bangkok, Thailand. Second Call for Participation *Submission Deadline: May 10, 2024 at 23:59, UTC -12h, AoE* *Website*: https://kallmworkshop.github.io/kallm2024/ *Contact email*: kallmworkshop2024(a)googlegroups.com The workshop intends to provide a platform for researchers, practitioners, and industry professionals to explore the synergies between LLMs and KGs. We aim to provide a space for the LLM community and the community of KG researchers to interact and explore how these two communities could collaborate and support one another. *Important Dates* Submission Deadline: May 10, 2024 Author Notifications: June 17, 2024 Camera-Ready Deadline: July 1, 2024 Workshop Date: August 15, 2024 *Submission Guidelines:* Papers must be submitted in PDF format using the official ACL template. More details are available on the website. *Scope of the workshop:* KaLLM invites quality research contributions as short or long papers and resource papers. All submissions will undergo a double-blind review process, and accepted submissions will be presented at the workshop. The submissions should focus on the interaction between LLMs and KGs in the context of NLP. The workshop will cover a diverse range of topics related to the integration of LLMs and KGs, including but not limited to: - Knowledge-enhanced language generation - KG-based question answering using LLMs - Fact validation and bias mitigation - KG creation and completion using LLMs - Privacy considerations in LLM-KG integration - Interpretability and explainability - Cross-domain applications - KG-based text summarisation with LLMs - Ethical implications of LLM-KG technologies - Multimodality of KGs and LLMs - Multilingual LLMs for KGs and vice-versa We look forward to receiving your submissions and having your valuable contribution to the success of the workshop. If you have any questions or require further information, please do not hesitate to contact us at kallmworkshop2024(a)googlegroups.com or visit https://kallmworkshop.github.io/kallm2024/. Thank you and best regards, Workshop Organisers Russa Biswas, Hasso Plattner Institute, Germany Lucie Aimée Kaffee, Hasso Plattner Institute, Germany Oshin Agarwal, Bloomberg, USA Pasquale Minervini, University of Edinburgh, UK Sameer Singh, University of California, Irvine, USA Gerard de Melo, Hasso Plattner Institute, University of Potsdam, Germany

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EAMT 2024: Bursaries for Translators
by Carol Scarton 03 Apr '24

03 Apr '24

****************************************************** EAMT 2024: Bursaries for Translators Deadline for applications: 19/04/2024 ****************************************************** == Call for Participation == The European Association for Machine Translation (EAMT) is an organisation that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT opens a call for a small number of bursaries to support translators and Translation Studies' students, in attending the 25th Annual Conference of the European Association for Machine Translation (EAMT 2024) conference will be held in Sheffield, United Kingdom, from June 24th to June 27th. == Purpose of the Call == This call is dedicated to support translators and Translation Studies' students, working or studying in European, Middle-Eastern or African countries, that do not have fundings to attend the conference. The EAMT particularly encourages applications from early-career translators. All applications will be screened by EAMT executive committee members. == Application information == -- Eligibility requirements -- In order to qualify for this call, the individual must be a translator or enrolled in a Master or PhD course in Translation Studies. The support is only available to individuals working or studying in European, Middle-Eastern or African countries. Freelance translators and students will have priority. We will also give priority to people with accepted papers in the main conference. -- Selection criteria -- - The selection will be made based on the information submitted to the provided Google Forms (link below). - One of the fields in the form is a "motivation letter", where you should describe your motivation for attending the EAMT 2024 conference and explain why you do not have other funds to sponsor your attendance. - You should also submit a CV, highlighting your years of experience in the translation area and your experience working with MT. - For students: you should also submit an official proof of student status, signed by your University. == Bursaries == EAMT anticipates funding several applications. Selected participants will be announced on the 26th April 2024 and will receive complimentary membership in the EAMT for 2024 and 2025, free registration at the EAMT 2024 conference and paid accommodation in Sheffield. == Contact for enquiries == Sara Szoc EAMT member e-mail: saraszoc(a)gmail.com == Applications == Candidates should submit their applications via a Google Form: https://forms.gle/7JUDDhC7TDNXUEaq8 == Important Dates == - Circulation of the Call: March 28th, 2024 - Submission deadline for applications: April 19th, 2024, 23:59 CEST - Notification: April 26th, 2024 == Additional provisions == - Only complete applications will be reviewed. - All information submitted with applications will be regarded as confidential and will only be used in the context of this call. - You may be asked to share the accommodation room with other awardees. However, we will commit to respect any requirements / concerns that you inform us (e.g. religion, gender, etc). == No obligation to award the bursaries == The EAMT shall be under no obligation to fund the applications pursuant to this call for participation. EAMT shall not be liable for any compensation with respect to candidates whose applications have not been approved. Nor shall it be liable in the event of it deciding not to award the bursaries. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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EAMT 2024: Support for participants from low-income countries and war zones
by Carol Scarton 03 Apr '24

03 Apr '24

****************************************************** EAMT 2024: Support for participants from low-income countries and war zones Deadline for applications: 19/04/2024 ****************************************************** == Call for Participation == The European Association for Machine Translation (EAMT) is an organisation that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT opens a call for a small number of bursaries to support EAMT 2024 attendees from areas affected by war and low-income countries. The 25th Annual Conference of the European Association for Machine Translation (EAMT 2024) conference will be held in Sheffield, United Kingdom, from June 24th to June 27th. == Purpose of the Call == This call is dedicated to support EAMT 2024 attendees that do not have fundings to attend the conference, from areas affected by war or low-income countries in Europe, Middle East or Africa. The EAMT particularly encourages applications from early career researchers. All applications will be screened by EAMT executive committee members. == Application information == -- Eligibility requirements -- In order to qualify for this call, the individual must be a student or an employee of an institution located in areas affected by war or in low-income countries in Europe, Middle East or Africa, that would not be able to attend the conference without this support. Students and early-career researchers/academics will have priority. We will also give priority to people with accepted papers in the main conference. -- Selection criteria -- - The selection will be made based on the information submitted to the provided Google Forms (link below). - One of the fields in the form is a "motivation letter", where you should describe your motivation for attending the EAMT 2024 conference and explain why you do not have other funds to sponsor your attendance. - You should also submit a CV, highlighting your years of experience in the MT area. == Bursaries == EAMT anticipates funding several applications. Selected participants will be announced on the 26th April 2024 and will receive complimentary membership in the EAMT for 2024 and 2025, free registration at the EAMT 2024 conference and paid accommodation in Sheffield. == Contact for enquiries == Sara Szoc EAMT member e-mail: saraszoc(a)gmail.com == Applications == Candidates should submit their applications via a Google Form: https://forms.gle/jS314WGUszZ2fMUT9 == Important Dates == - Circulation of the Call: March 28th, 2024 - Submission deadline for applications: April 19th, 2024, 23:59 CEST - Notification: April 26th, 2024 == Additional provisions == - Only complete applications will be reviewed. - All information submitted with applications will be regarded as confidential and will only be used in the context of this call. - You may be asked to share the accommodation room with other awardees. However, we will commit to respect any requirements / concerns that you inform us (e.g. religion, gender, etc). == No obligation to award the bursaries == The EAMT shall be under no obligation to fund the applications pursuant to this call for participation. EAMT shall not be liable for any compensation with respect to candidates whose applications have not been approved. Nor shall it be liable in the event of it deciding not to award the bursaries. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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Postdoc / Engineer position in Computational Social Sciences (18 months, Paris region)
by Thierry Poibeau 03 Apr '24

03 Apr '24

Dear Colleagues, The Lattice Lab in Paris, France (Ecole normale supérieure-PSL & CNRS) is recruiting a Research Engineer in Computational Social Sciences, for 18 months beginning in June 2024 (Post-doc or Master level). See here for details: https://euraxess.ec.europa.eu/jobs/200537 The post is related to the ANR Medialex project (https://anr.fr/Projet-ANR-21-CE38-0016), on the mutual influence between the medias (including social medias) and the political sphere (esp. debates at the Parliament). Some command of French is necessary, but it does not need to be your main language. To apply, please send me an email with a few words about your interest for the job, a detailed CV, one relevant publication if relevant (esp. if you applied at post-doc level) and the name of two referees. All the best, Thierry

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Call for papers 4th Workshop on Scholarly Document Processing - SDP@ACL 2024
by Tirthankar Ghosal 02 Apr '24

02 Apr '24

** Call for Research Papers ** Scholarly literature is the chief means by which scientists and academics document and communicate their results and is therefore critical to the advancement of knowledge and improvement of human well-being. At the same time, this literature poses challenges to NLP uncommon in other genres, such as specialized language and high background knowledge requirements, long documents and strong structural conventions, multimodal presentation, citation relationships among documents, an emphasis on rational argumentation, and the frequent availability of detailed metadata. These challenges necessitate the development of NLP methods and resources optimized for this domain. The Scholarly Document Processing (SDP) workshop provides a venue for discussing these challenges, bringing together stakeholders from different communities including computational linguistics, machine learning, text mining, information retrieval, digital libraries, scientometrics and others, to develop methods, tasks, and resources in support of these goals. This workshop builds on the success of prior workshops: the 1st, 2nd, and 3rd SDP workshops held at EMNLP 2020, NAACL 2021, and COLING 2022, and the 1st and 2nd SciNLP workshops held at AKBC 2020 and 2021. In addition to having broad appeal within the NLP community, we hope the SDP workshop will attract researchers from other relevant fields including meta-science, scientometrics, data mining, information retrieval, and digital libraries, bringing together these disparate communities within ACL. Website: https://sdproc.org/2024/ X (Twitter): https://twitter.com/sdpworkshop Topics of Interest We invite submissions from all communities demonstrating usage of and challenges associated with natural language processing, information retrieval, and data mining of scholarly and scientific documents. Relevant topics include (but are not limited to): - Large Language Models (LLMs) for Science - Representation learning and language modeling - Information extraction and NER - Document understanding - Summarization and generation - Question-answering - Discourse modeling/argumentation mining - Network analysis - Bibliometrics, scientometrics, and altmetrics - Reproducibility and research integrity, including new challenges posed by generative AI - Peer review tools, principles and technology - Metadata and indexing - Inclusion of datasets and computational resources - Research infrastructures and digital libraries - Increasing the representation in scholarly work of disadvantaged populations - LLM-based interfaces to consume/produce scholarly documents ** Submission Information ** Authors are invited to submit full and short papers with unpublished, original work. Submissions will be subject to a double-blind peer-review process. Accepted papers will be presented by the authors at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings (proceedings from previous years can be found here: https://aclanthology.org/venues/sdp/). The submissions must be in PDF format and anonymized for review. All submissions must be written in English and follow the ACL 2024 formatting requirements: Long paper submissions: up to 8 pages of content, plus unlimited references. Short paper submissions: up to 4 pages of content, plus unlimited references. Submission Website: Paper submission has to be done through openreview: < https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SDProc> Final versions of accepted papers will be allowed 1 additional page of content so that reviewer comments can be taken into account. ** Important Dates (Main Research Track) ** Paper submission deadline: May 17 (Friday), 2024 Notification of acceptance: June 17 (Monday), 2024 Camera-ready paper due: July 1 (Monday), 2024 Workshop dates: August 16, 2024 ** SDP 2024 Keynote Speakers ** We are excited to have several keynote speakers at SDP 2024. 1. Iryna Gurevych, Professor at Technical University Darmstadt and head of the UKP Lab, Germany. 2. Anna Rogers, Assistant Professor, University of Copenhagen, Denmark 3. Heng Ji, Professor, University of Illinois at Urbana-Champaign, USA. 4. Doug Downey, Associate Professor at Northwestern University and Research Manager at Allen Institute for AI, USA. ** SDP 2024 Shared Tasks ** SDP 2024 will host two exciting shared tasks. More information about all shared tasks is provided on the workshop website: https://sdproc.org/2024/sharedtasks.html DAGPap24: Detecting automatically generated scientific papers A big problem with the ubiquity of Generative AI is that it has now become very easy to generate fake scientific papers. This can erode public trust in science and attack the foundations of science: are we standing on the shoulders of robots? The Detecting Automatically Generated Papers (DAGPAP) competition aims to encourage the development of robust, reliable AI-generated scientific text detection systems, utilizing a diverse dataset and varied machine learning models in a number of scientific domains. Organizers: Savvas Chamezopoulos, Yury Kashnitsky, Drahomira Herrmannova, Anita de Waard (Elsevier), Domenic Rosati (Scite) Context24: Contextualizing Scientific Figures and Tables When making sense of results across many research papers on a topic, figures or tables of key results from the papers can serve as effective, information-dense summaries that can be compared/contrasted and synthesized with other results. However, to understand the results, key elements (e.g., measures, sample) need to be contextualized with associated methodological details, which are typically dispersed throughout the text, often far from the figure/table and from each other. In this shared task, we are interested in contextualizing scientific figures and tables, i.e., automatically retrieving and ranking snippets from the paper that are most needed to interpret their results, with the goal of making figures/tables more self-contained. Organizers: Joel Chan, Matthew Akamatsu ** Organizing Committee ** Tirthankar Ghosal, Oak Ridge National Laboratory, USA Philipp Mayr, GESIS – Leibniz Institute for the Social Sciences, Germany Aakanksha Naik, Allen Institute for AI, USA Shannon Shen, Massachusetts Institute of Technology, USA Amanpreet Singh, Allen Institute for AI, USA Anita de Waard, Elsevier, Netherlands Orion Weller, Johns Hopkins University, USA Yanxia Qin, National University of Singapore, Singapore Yoonjoo Lee, Korea Advanced Institute of Science & Technology, South Korea -- +++++++++++++++++++++++++++++++++++ *Tirthankar Ghosal* Scientist National Center for Computational Sciences (NCCS) Oak Ridge National Laboratory, United States ++++++++++++++++++++++++++++++++++++

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CfP: FEL2024, The XXVIIIth Annual Conference of the Foundation for Endangered Languages, 25-27 September 2024, Islamabad
by Steven Krauwer 02 Apr '24

02 Apr '24

CALL FOR PAPERS =============== The Foundation for Endangered Languages (FEL) and the Forum for Language Initiatives (FLI), in collaboration with Allama Iqbal Open University Islamabad will hold the 28th Annual Conference - FEL XXVIII in Islamabad, Pakistan, 25 – 27 September 2024 Main theme of the conference: Endangered Languages and Oral Traditions. Conference topics include, but are not limited to: 1. Endangered oral literatures: heritage preservation (music, poetry, mushaira, contests...) 2. Oral cultures and traditional knowledge 3. Documentation and digitalization of oral art and literature 4. Language policy, planning, and oral art 5. Oral art and mother tongue education 6. Mother-tongue education policies: oral art and literature 7. Rediscovering oral traditions and expressions 8. Oral Traditions as vehicle for transmission of culture and language The main focus of the conference will be on the dynamic relationship between language endangerment and the role of oral traditions and expressions in safeguarding them. While it has a universal scope, it specifically aims to highlight interesting and creative oral traditions and expressions of the indigenous communities of Pakistan and encourage scholarship and accounts of community initiatives for preserving and promoting them. Studies highlighting the oral traditions of indigenous communities from anywhere are welcome. Abstracts in PDF of 600 - 800 words are invited for submission on EasyChair at this address: https://easychair.org/conferences/?conf=felxxviii2024 by the deadline of 15 May 2024 at 23:59 GMT Important Dates ▪ 15 May 2024: Deadline for submission of abstract ▪ 21 June 2024: Selected applicants informed ▪ 31 July 2024: Deadline for extended version of accepted abstract ▪ 25-27 September 2024: Conference dates ▪ 28 September: Excursion to a local community Conference website: https://fli-online.org/site/conference-of-the-foundation-for-endangered-lan… For more information please contact: felconf2024.islamabad(a)gmail.com -- _______________________________________________________________________ Steven Krauwer, CLARIN/FEL/ELSNET/UiLOTS, Utrecht, NL, s.krauwer(a)uu.nl

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