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Invitation to the 1st Linguistics Biennial Conference (Kuwait University)
by lsbc＠ku.edu.kw 17 Nov '23

17 Nov '23

Dear all, I am delighted to invite you to The 1st Linguistics Studies Biennial Conference (LSBC 2024), organised by the Department of English Language and Literature (DELL) at Kuwait University, Kuwait. The conference will take place on March 4-5, 2024. The theme of the conference is " Current trends in applied linguistic research: corpus and AI perspectives". The conference aims to bring together researchers, practitioners, and educators from various disciplines and fields related to applied linguistics, such as psycholinguistics, sociolinguistics, pragmatics, discourse analysis, language policy, and intercultural communication. LSBC’s keynote speakers are: 1. Professor Stefan TH. Gries 2. Professor Jukka Tyrkko 3. Dr Teresa Lynn 4. Dr Robbie Love 5. Dr Tobias Bernaisch If you are registering as an attendee, kindly follow this link: https://forms.office.com/r/ashhu17hsP In order to participate, please email your paper, abstract, or research findings to: lsbc(a)ku.edu.kw Venue: The Pearl at Kuwait University Submission deadline: 10 December 2023 Announcement of accepted talks: 2 January 2024 By accepting this invitation, you have the opportunity to showcase your knowledge and expertise to a wider audience. As renowned scholars and experts in your fields, we believe that your insights and perspectives will greatly enrich the conference and inspire the participants. If you are interested in participating in our upcoming conference, please take a moment to submit your papers or abstracts. Your contributions are highly encouraged. Furthermore, I kindly request that you share the information regarding the conference with your network. You can send it through your academic channels, such as email lists, social media groups, or academic journals, to ensure that as many colleagues and students as possible are aware of the opportunity. Sharing the website link and our Twitter account would be very helpful in increasing the visibility of LSBC 2024. X (Twitter) account: @lsbcatdell Website: http://kuweb.ku.edu.kw/ICL/index.htm I look forward to hearing from you soon and hope that you will join us at LSBC 2024. If you have any questions or require any further information, please do not hesitate to reach out to me. Thank you for your cooperation. Best regards, Dr Mohammad Alenezi Conference Chair

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Postdoc in cognitive modelling of language processing at Saarland University
by Vera Demberg 17 Nov '23

17 Nov '23

2-year postdoctoral position We are inviting applications for one postdoctoral position (funding available until 01/2026, start date flexible; contract renewal may be possible afterwards) of a computer scientist, cognitive scientist, computational linguist or psycholinguist, who has experience with or interest in experimental research and/or cognitive modelling for language processing (e.g., Bayesian models, and/or models using cognitive architectures like ACT-R; the use of LLMs and their combination with cognitive architectures will also be explored). The position will be funded as part of the ERC Starting Grant "Individualized Interaction in Discourse" of Prof. Vera Demberg, at Saarland University. The goal of the position is to develop models that capture individual differences in discourse and pragmatic processing. The candidate will conduct research on the design and implementation of psycholinguistic experiments and/or cognitive models of language processing at the level of discourse and/or pragmatic processing. These models should capture individual differences in cognition such as working memory, language experience, background knowledge, theory-of-mind abilities etc. The successful applicant must have excellent spoken and written proficiency in English, and have a background in natural language processing or cognitive modelling. This is a position on the German TV-L E13 scale (100% position at the postdoc level). The starting salary of a 100% TV-L E13 position is a bit over 50,000 Euros per year and increases with experience. The initial appointment will be for three years; the position can be extended up to the limits of the German law for academic contracts (WissZeitVG). The starting date is January 2024 or later; we would be willing to adapt to the time requirements of an ideal candidate. About the research environment Saarland University is one of the leading centers for computational linguistics and computer science in Europe, and offers a dynamic and stimulating research environment. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. Saarland University is one of the leading centres for computer science and computational linguistics in Europe, and offers a dynamic and stimulating research environment. The group is affiliated with both the Department of Computer Science, with the Department of Language Science and Technology and with the MPI for Informatics. The department is a core member of the new Research Training Group "Neuroexplicit Models of Language, Vision, and Action", which is on track to grow into one of the largest centers for research on neurosymbolic models in NLP and other fields of AI in the world. It is also the centerpiece of the Collaborative Research Center 1102 "Information Density and Linguistic Encoding" and part of the Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus, such as the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). The Saarland Informatics Campus brings together 900 researchers and 2100 students from 81 countries; SIC faculty have won 36 ERC grants. Saarland University is located in Saarbrücken, a mid-sized city in the tri-border area of Germany, France, and Luxembourg. Saarbrücken combines a lively culture scene with a relaxed atmosphere, and is quite an affordable place to live in. Our department maintains an international and diverse work environment. The primary working language is English; learning German while you are here will make it easier to connect with the local culture, but is not necessary for your work. How to apply Please submit your application by email to applications-vd(a)lst.uni-saarland.de. Preference will be given to applications received by *6 December 2023*. Please quote opening number W2403 in your application materials. Include a single PDF file with the following information: • a statement of research interests that motivates why you are applying for this position and outlines your research agenda; • a full CV including your list of publications; • scans of transcripts and academic degree certificates; • the names, affiliations, and e-mail addresses of two people who can provide letters of reference for you. Saarland University especially welcomes applications from women and people with disabilities. If you have further questions, please email Vera Demberg <demberg(a)lst.uni-saarland.de>.

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Postdoctoral position in natural language processing, Univ. Lorraine, Nancy, France
by Mathieu Constant 17 Nov '23

17 Nov '23

The Research unit ATILF (Computer Processing and Analysis of the French Language) offers a postdoctoral position in natural language processing (NLP). Topic: Discovery of multiword expressions, their meaning and their linguistic properties in texts using large language models Location: ATILF, Nancy, France Starting date: from February 2024 Duration: 12 months (possibility to extend the duration for one more year) Supervisors: Mathieu Constant (Univ. Lorraine, France) and Agata Savary (Univ. Paris-Saclay, France) Salary: depends on experience after PhD and salary grids, from 3070 (<2-year experience) to 4465 euros (>7-year-experience) before tax Application deadline: 5th December 2023 Subject. The term « multiword expression » refers to a combination of multiple lexical items that displays irregular composition possibly on different linguistic levels (morphology, syntax, semantics, …). They include a large variety of phenomena such as idioms (run around in circles), support verb constructions (take a walk), nominal compounds (dry run), complex function units (in spite of). They have been the subject of extensive research work in the NLP community over the last 50 years. The goal of this post-doc position is to investigate new methods for discovering multiword expressions, their meaning and their linguistic properties in texts, in order to enrich an induced semantic lexicon with new multiword entries, definitions, argumental structure, and other properties. The emergence of Large Language Models (LLM) opens new promising perspectives for multiword expressions, not only regarding their semantic compositionality but also their linguistic characterization. The methods will be primarily experimented on French, but other languages are also possible. Context. The position is part of the SELEXINI project (https://selexini.lis-lab.fr <https://selexini.lis-lab.fr/>, 2022-2026) funded by the French National Research Agency (ANR). The goal of the SELEXINI project is to develop next-generation lexicon induction methods for natural language processing. The induced lexicons will not only cluster word usages according to their senses, but also contain multiword expressions, argumental structure, generated definitions, etc, combining the power of large pre-trained language models and existing lexical resources to address the lack of interpretability and diversity in current language technology. The hired researcher will be fully integrated in the project team. Requirements. Applicants should hold a PhD thesis in computer science, in applied mathematics, in natural language processing, or in computational linguistics. Applications from PhD students planning their defense by December 31st, 2023 are also welcome. The hired post-doc researcher should have the following skills: expertise in deep learning for NLP and notably large language models excellent programming skills good linguistic skills good knowledge of French would be a plus team spirit Application. The applicants should submit a cover letter, a CV including their publications, a list of references for recommendation, a transcript of Master grades, on the following official web site: https://emploi.cnrs.fr/Offres/CDD/UMR7118-SABMAR-017/Default.aspx?Lang=EN <https://emploi.cnrs.fr/Offres/CDD/UMR7118-SABMAR-017/Default.aspx?Lang=EN>. The applications should be submitted not later than December 5.

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Postdoc in NLP or psycholinguistics at Saarland University
by Vera Demberg 17 Nov '23

17 Nov '23

Research and teaching position at Saarland University, Saarbrücken, Germany Start date: early 2024 Contract duration: 3 years (can be extended) Payscale: E13 100% (postdoc) We are looking to fill a research and teaching position in NLP or psycholinguistics at the at the research group of Prof. Vera Demberg. It offers great flexibility in developing your own research and teaching agenda, and collaborations with other research groups within the department of Language Science and Technology and/or at the department of Computer Science are encouraged. The position is flexible with respect to topic, but it should connect thematically with current topics of interest to the research group. These include neural natural language generation with specific focus on data-to-text generation, avoidance of hallucinations and personalized language generation, as well as computational models of discourse processing and pragmatics. Psycholinguistic experimental work within our group revolves around information-theoretic accounts of human language processing, as well as discourse processing and experimental pragmatics. We are especially interested in individual differences in discourse and pragmatic processing (see also our ERC project "Individualized Interaction in Discourse"). You should have expertise in neural and/or linguistically principled methods in NLP, or experimental methods for psycholinguistics. The position includes a teaching load of up to four hours per week and can be given within the BSc or MSc programs in Computational Linguistics, Computer Science or Data Science and Artificial Intelligence. Our study programs attract excellent and highly motivated students; it is not unusual for our students to publish papers at peer-reviewed conferences before graduation. The MSc students in particular are a very international crowd, with two thirds joining us from abroad. You will typically teach one seminar per semester on a topic of your choice, which will allow you to motivate students to do BSc and MSc theses under your supervision. This is a position on the German TV-L E13 scale (100% position at the postdoc level). The starting salary of a 100% TV-L E13 position is a bit over 50,000 Euros per year and increases with experience. The initial appointment will be for three years; the position can be extended up to the limits of the German law for academic contracts (WissZeitVG). The starting date is January 2024 or later; we would be willing to adapt to the time requirements of an ideal candidate. Requirements We are looking for candidates who have finished, or are about to complete, an excellent PhD degree in computational linguistics, computer science, psycholinguistics or a related discipline. You must be proficient in English (spoken and written). Applicants should have demonstrated their research expertise through high-quality publications. About the research environment Saarland University is one of the leading centers for computational linguistics and computer science in Europe, and offers a dynamic and stimulating research environment. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. The department is a core member of the new Research Training Group "Neuroexplicit Models of Language, Vision, and Action", which is on track to grow into one of the largest centers for research on neurosymbolic models in NLP and other fields of AI in the world. It is also the centerpiece of the Collaborative Research Center 1102 "Information Density and Linguistic Encoding" and part of the Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus, such as the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). The Saarland Informatics Campus brings together 900 researchers and 2100 students from 81 countries; SIC faculty have won 36 ERC grants. Saarland University is located in Saarbrücken, a mid-sized city in the tri-border area of Germany, France, and Luxembourg. Saarbrücken combines a lively culture scene with a relaxed atmosphere, and is quite an affordable place to live in. Our department maintains an international and diverse work environment. The primary working language is English; learning German while you are here will make it easier to connect with the local culture, but is not necessary for your work. How to apply: Please submit your application by email to applications-vd(a)lst.uni-saarland.de. Preference will be given to applications received by 6 December 2023. Please cite opening number 2402 when sending in your application materials. Include a single PDF file with the following information: • a statement of research interests that motivates why you are applying for this position and outlines your research agenda; • a full CV including your list of publications; • scans of transcripts and academic degree certificates; • the names, affiliations, and e-mail addresses of two people who can provide letters of reference for you. Saarland University especially welcomes applications from women and people with disabilities. If you have further questions, please email Vera Demberg <demberg(a)lst.uni-saarland.de>.

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2nd CFP - Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI) at EACL 2024 in Malta
by Nina Hosseini-Kivanani 17 Nov '23

17 Nov '23

Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI) at EACL 2024 in Malta-March 17-22 2024. Workshop website: https://sites.google.com/view/teicai2024 Submission link: https://softconf.com/eacl2024/TEICAI-2024/ Conversational language technologies (chatbots, voice assistants, and multimodal conversational interfaces) are becoming increasingly complex and common in everyday life. Various language theories (such as speech act theory, politeness theory, conversation analysis, and interaction theory) have started influencing their development. At the same time, the development of these technologies is often driven by technology-related concerns and tends to overlook users’ needs and socio-cultural contexts. This combined with the scarcity of human rights regulation of AI, raises concerns about linguistic discrimination, exclusion, surveillance, and security risks. In addition, training data for conversational AI mostly comes from written rather than interaction-based language data sets and often does not include gestural, social, and emotional aspects that are fundamental to human interaction. In the same vein, Sign Language is rarely facilitated. To promote a positive impact of conversational technology on linguistic diversity and inclusion, it is imperative to strike a balance between technological concerns and socially relevant matters. Our workshop aims to address these issues by using a holistic approach that involves dialogue and collaboration among technologists, linguists, policymakers, and communities involved in the development and commissioning of conversational AI systems. To foster dialogue towards a multidisciplinary approach to the development of conversational AI that can better serve diverse global audiences, we welcome submissions on a range of topics related to language ideologies and language rights, in relation to conversational language technology and AI (e.g. chatbots, voice assistants, multimodal conversational interfaces). Possible topics may include: - Language ideologies in conversational AI - Language rights in conversational AI - Socio-cultural context in conversational AI - Language inclusion in training data for enhancing inclusivity - Incorporating non-verbal communication elements (gestures, emotions) in AI - Sign language and multimodal conversational AI - Audience design in conversational AI (tailoring systems to meet specific audiences’ needs and preferences) - The sense of human agency and identity while interacting with conversational AI - Addressing challenges and opportunities of conversational AI development (case studies, models of effective collaborations) - Linguistic discrimination in conversational AI - Perspectives of communities affected by conversational AI systems: needs, concerns, and expectations We invite authors to submit original, unpublished work (long, short, and position papers). Each submission will be reviewed by 2-3 members of the Programme Committee. Participants should format their submissions using the EACL template, available for LaTeX/Overleaf and all submissions must be in PDF format. All accepted papers (long, short, and position papers) will be included in the workshop proceedings. The proceedings will be published in the ACL anthology. Important dates: Workshop paper due: December 18, 2023 Direct Submission deadline (pre-reviewed ARR & main conference): January 17, 2024 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30, 2024 Proceedings due: February 7, 2024 Workshop dates: March 21-22, 2024 Organizers: Sviatlana Höhn, LuxAI, Luxembourg Nina Hosseini-Kivanani, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Luxembourg Dimitra Anastasiou, Luxembourg Institute of Science and Technology, Luxembourg Angela Soltan, State University of Moldova, Moldova Bettina Migge, University College Dublin, Ireland Doris Dippold, University of Surrey, UK Fred Philippy, Zortify, Luxembourg Ekaterina Kamlovskaya, Translatables For any preliminary questions, you're welcome to reach out to teicai2024(a)gmail.com . You can follow us on LinkedIn (TEICAI) and Twitter (teicai2024) to get more updates about the workshop. On behalf of the organizers team Nina Hosseini-Kivanani University of Luxembourg

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Second CFP-Fourth Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI-2024) at EACL 2024-reg
by Bharathi Raja Asoka Chakravarthi 17 Nov '23

17 Nov '23

Apologies for cross posting *Fourth Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI-2024) at EACL 2024* *Website link: https://sites.google.com/view/lt-edi-2024/ <https://sites.google.com/view/lt-edi-2024/>* Equality, Diversity and Inclusion (EDI) is an important agenda across every field throughout the world. Language as a major part of communication should be inclusive and treat everyone with equality. Today’s large internet community uses language technology (LT) and has a direct impact on people across the globe. EDI is crucial to ensure everyone is valued and included, so it is necessary to build LT that serves this purpose. Recent results have shown that big data and deep learning are entrenching existing biases and that some algorithms are even naturally biased due to problems such as ‘regression to the mode’. Our focus is on creating LT that will be more inclusive of gender, racial, sexual orientation, persons with disability. The workshop will focus on creating speech and language technology to address EDI not only in English, but also in less resourced languages. The broader objective of LT-EDI-2024 will be - To investigate challenges related to speech and language resource creation for EDI. - To promote research in inclusive LT. - To adopt and adapt appropriate LT models to suit EDI. - To provide opportunities for researchers from the LT community around the world to collaborate with other researchers to identify and propose possible solutions for the challenges of EDI. Our workshop theme focuses on being more inclusive and providing a platform for researchers to create LT of a more inclusive nature. We hope that through these engagements we can develop LT tools to be more inclusive of everyone, including marginalized people. *Call for Papers:* Our main theme in this workshop is equality, diversity, and inclusivity in LT. We invite researchers and practitioners to submit papers reporting on these issues and datasets to avoid these issues. We also encourage qualitative studies related to these issues and how to avoid them. LT-EDI-2024 welcomes theoretical and practical paper submissions on any languages that contribute to research in Equality, Diversity and Inclusion. We will particularly encourage studies that address either practical application or improving resources. *Topics of interest include, but are not limited to:* - Data set development to include EDI - Gender inclusivity in LT - LGBTQ+ inclusivity in LT - Racial inclusivity in LT - Persons with disability inclusivity in LT - Speech and language recognition for minority groups - Unconscious bias and how to avoid them in natural language processing, machine learning and other LT technologies. - Tackling rumours and fake news about gender, racial, and LGBTQ+ minorities. - Tackling discrimination against gender, racial, and LGBTQ+ minorities. Submissions: At LTEDI we accept the following submission types: - Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to 8 pages of content, plus unlimited pages for references and appendices. Upon acceptance, long papers will be given one additional page of content (i.e. up to 9 pages) in the proceedings so that reviewers’ comments can be taken into account. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Short papers may consist of up to 4 pages of content, plus unlimited references and appendices. Upon acceptance, short papers will be given one additional page of content (i.e. up to 5 pages) in the proceedings so that reviewers’ comments can be taken into account. - Poster and demo submissions should be no longer than 4 pages (plus unlimited number of pages for references and ethics/broader impact statement). More information on submission can be found at https://sites.google.com/view/lt-edi-2024/submission For electronic submission of all papers, please use: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/LTEDI *Important Dates* - Workshop paper due: December 12, 2023 - Direct Submission deadline (pre-reviewed ARR & main conference) January 17, 2024 - Notification of acceptance: January 15, 2024 - Camera-ready papers due: January 25 2024 - Workshop dates: March 21-22, 2024 with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/bharathirajaasokachak…

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3 PhD positions on disagreement and meaning variation at the University of Utrecht
by d.p.nguyen＠uu.nl 16 Nov '23

16 Nov '23

** Job openings: PhD studentships on meaning variation in NLP ** Utrecht University, The Netherlands The Natural Language Processing (NLP) group in the Computing and Information Sciences department of Utrecht University (UU) is offering PhD positions in AI / NLP. Three four-year positions are available as part of the AiNed project “Dealing with Meaning Variation in NLP”, a collaboration between AI and Data Science and the Language Sciences Institute led by Prof. Massimo Poesio. The overall aim of the project is to allow NLP models to make better sense of variations in the ways that different speakers and readers interpret language. Positions are available to of the following projects: PhD PROJECT 1: Variation in coreference and reference Early research on learning from data with disagreement in Natural Language Processing (NLP) was often motivated by findings about anaaphoic reference - it turns out that often people disagree on what these pronouns mean, particularly in conversations. Methods for learning from data with disagreements (`learning from crowds’) have been successfully applied to other types of data containing disagreements, and substantial data sets containing multiple judgments on anaphoric reference now exist. But computational models of referring expression interpretation that can effectively learn from such data sets do not yet exist. Training co-reference models ‘from crowds’ has proven to be challenging, and there is no consensus over the question of how to test/evaluate interpretation models that take variation into account. This project will focus on addressing such challenges. It will also develop metrics that do justice to interpretative variation for co-reference, and use these metrics to test models. Ideally, the development of these metrics will be informed by cognitive and behavioural evidence on the processing of reference. For this project, we are looking for a motivated researcher with a Master’s degree in Artificial Intelligence, Deep Learning, Computational Cognitive Science, Computer Science, Linguistics, or Statistics. A good mastery of deep learning and of NLP is essential. An understanding of coreference and discourse understanding would be a definite bonus. PhD PROJECT 2: Subjectivity in the detection of problematic language Variation in interpretation is particularly frequent with judgments that depend on an individual’s subjective biases, such as deciding whether a joke is funny or not. This PhD project focuses on NLP methods for subjective interpretive tasks with a high societal relevance, such as offensive/abusive language detection, used e.g., by social media platforms to identify cases of problematic use of language that can be harmful to people. Judgments on whether a given utterance is problematic are notoriously subjective, where differences between judges can have difficult cultural, ethnic, and racial overtones. The project will develop models for detecting problematic language that take into account the fact that the judgments involved can be controversial. For this project, we are looking for a motivated researcher with a Master’s degree in Artificial Intelligence, Computational Cognitive Science, Computing Science, Computational Social Science, Linguistics, or Statistics. A good mastery of deep learning and of NLP is essential. An understanding of social science methodology would be a definite bonus. PhD PROJECT 3: Conflicting interpretations in dialogue In conversations, we produce language under time pressure. One of the effects of this time pressure is that less attention is paid ensuring that expressions can be interpreted univocally, resulting in misunderstandings that often go undetected. Such misunderstandings between dialogue partners cause problems for all aspects of NLP research. The first problem is that specifying that an expression was interpreted in one way by one participant and in another way by the other participant is difficult with present annotation methods. In turn, this makes it difficult to train models that can produce participant-specific interpretations and/or recognise disagreements in interpretation. In this project you will study misunderstandings in dialogue and how conversational agents can recognise and resolve them. For this project, we are looking for a motivated researcher with Master’s degree in Artificial Intelligence, Computational Cognitive Science, Computing Science, Conversational Agents, Linguistics, or Statistics. A good mastery of deep learning, of dialogue, and of conversational agents is essential. FOR MORE INFORMATION AND TO APPLY Further information about these vacancies can be found at: Project 1: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… Project 2: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… Project 3: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… The deadline for application is December 3rd 2023. We’re looking for someone to start as soon as possible after the recruitment process is concluded but we understand that it will normally take a few months before the candidate will be ready to start. Applications should be made through the University's site (see links above). CONTACTS For further information, please contact: - Prof. Massimo Poesio (m.poesio AT uu.nl) (all projects) - Project 1: Prof. Yoad Winter (y.winter AT uu.nl) - Project 2: Dr. Dong Nguyen (d.p.nguyen AT uu.nl) or Prof. Antal van der Bosch (a.p.j.vandenbosch AT uu.nl) - Project 3: Prof. Albert Gatt (a.gatt AT uu.nl) or Dr. Denis Paperno (d.paperno AT uu.nl)

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PhD position on LLMs for Software Engineering
by Saad Ezzini 16 Nov '23

16 Nov '23

PhD on LLMs for Software Engineering Are you passionate about making significant contributions to the development of resilient and adaptable Artificial Intelligence (AI), Natural Language Processing (NLP), and Large Language Models (LLMs) tailored for the field of Software Engineering? We at the School of Computing and Communications at Lancaster University, UK, are offering an exciting opportunity for a fully funded 3.5-year Ph.D. studentship. Project information: The Ph.D. will focus on developing robust AI and NLP -based methods that can improve the software development cycle, including software requirements, user feedback, software patches, and more. Depending on the student's profile, a particular focus would be identifying pitfalls of current AI models with text-to-code and code-to-text transformation and working on creating or enhancing transformation techniques on related tasks. - Start date: January or April 2024 - Deadline for application: 15 December 2023 - Interviews: shortly after the deadline Eligibility The studentship is available only for applicants who are eligible for Home Fee status (UK Home students). The minimum entry requirement for a PhD is a 2:1 honours degree in Computer Science or other relevant discipline. Excellent written and oral communication in English is a prerequisite. We are looking for individuals with a genuine interest, and ideally experience, in software engineering, artificial intelligence or natural language processing and should be able to demonstrate strong computer programming skills. Candidates with evidence of research skills, such as involvement in a significant Bachelors/Masters project comprising experimental research or peer-reviewed publications will be considered a plus. For questions regarding entry requirements and admission, please direct your inquiries to Lancaster University’s Admissions Office at pgadmissions(a)lancaster.ac.uk. Funding This PhD studentship is open to UK home students only and covers university tuition fees for 3.5 years and a tax-free maintenance grant (stipend) of £17,668k per annum. The studentships also include funding to support travel costs to present research at national and international conferences. International students are not eligible for this studentship. If you are an international student and still wish to apply, you will have to secure your own funding.How to Apply You will be supervised by Dr Saad Ezzini and Dr Mo El-Haj. If you consider applying, you should first contact them informally to discuss your interest by emailing s.ezzini(a)lancaster.ac.uk and m.el-haj(a)lancaster.ac.uk (Please use the following reference in the email subject [PHD-LLM4SE]). Dr Ezzini: https://www.lancaster.ac.uk/staff/ezzini Dr El-Haj: https://www.lancaster.ac.uk/staff/elhaj Why Lancaster Lancaster University is among the best in the UK. We're top 10 in The Complete University Guide 2024 and consistently placed in the top 15 in major UK league tables. We also rank highly in international league tables such as the QS World Rankings. We provide a diverse, inclusive and stimulating research environment in the School of Computing and Communications. You will have access to outstanding research facilities and to a wide range of training opportunities for your personal and professional development. In the School, you will become part of the lifeblood of our community of over 200 research staff and students, housed in the iconic InfoLab21 building on the University’s main campus, located in beautiful countryside just outside the city of Lancaster. More: https://www.lancaster.ac.uk/study/why-lancaster/ ------ Dr Saad Ezzini Lecturer in Computer Science School of Computing and Communications Infolab21, Lancaster University, Lancaster, LA1 4WA

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Universal Dependencies, release 2.13
by Dan Zeman 15 Nov '23

15 Nov '23

We are very happy to announce the nineteenth release of annotated treebanks in Universal Dependencies, v2.13, available at http://universaldependencies.org/. Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective (de Marneffe et al., 2021; Nivre et al., 2020). The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008). The general philosophy is to provide a universal inventory of categories and guidelines to facilitate consistent annotation of similar constructions across languages, while allowing language-specific extensions when necessary. The *259* treebanks in v2.13 are annotated according to version 2 of the UD guidelines and represent the following *148 languages:* Abaza, Afrikaans, Akkadian, Akuntsu, Albanian, Amharic, Ancient Greek, Ancient Hebrew, Apurina, Arabic, Armenian, Assyrian, Bambara, Basque, Beja, Belarusian, Bengali, Bhojpuri, Bororo, Breton, Bulgarian, Buryat, Cantonese, Catalan, Cebuano, Chinese, Chukchi, Classical Armenian, Classical Chinese, Coptic, Croatian, Czech, Danish, Dutch, English, Erzya, Estonian, Faroese, Finnish, French, Frisian Dutch, Galician, Georgian, German, Gheg, Gothic, Greek, Guajajara, Guarani, Haitian Creole, Hebrew, Highland Puebla Nahuatl, Hindi, Hittite, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kaapor, Kangri, Karelian, Karo, Kazakh, Khunsari, Kiche, Komi Permyak, Komi Zyrian, Korean, Kurmanji, Kyrgyz, Latin, Latvian, Ligurian, Lithuanian, Livvi, Low Saxon, Macedonian, Madi, Maghrebi Arabic French, Makurap, Malayalam, Maltese, Manx, Marathi, Mbya Guarani, Middle French, Moksha, Munduruku, Naija, Nayini, Neapolitan, Nheengatu, North Sami, Norwegian, Old Church Slavonic, Old East Slavic, Old French, Old Irish, Old Turkish, Persian, Polish, Pomak, Portuguese, Romanian, Russian, Sanskrit, Scottish Gaelic, Serbian, Sinhala, Skolt Sami, Slovak, Slovenian, Soi, South Levantine Arabic, Spanish, Swedish, Swedish Sign Language, Swiss German, Tagalog, Tamil, Tatar, Teko, Telugu, Thai, Tupinamba, Turkish, Turkish German, Ukrainian, Umbrian, Upper Sorbian, Urdu, Uyghur, Veps, Vietnamese, Warlpiri, Welsh, Western Armenian, Western Sierra Puebla Nahuatl, Wolof, Xavante, Xibe, Yakut, Yoruba, Yupik and Zaar. The 148 languages belong to *31 families:* Afro-Asiatic, Arawakan, Arawan, Austro-Asiatic, Austronesian, Basque, Bororoan, Chukotko-Kamchatkan, Code switching, Creole, Dravidian, Eskimo-Aleut, Indo-European, Japanese, Kartvelian, Korean, Macro-Je, Mande, Mayan, Mongolic, Niger-Congo, Northwest Caucasian, Pama-Nyungan, Sign Language, Sino-Tibetan, Tai-Kadai, Tungusic, Tupian, Turkic, Uralic and Uto-Aztecan. Depending on the language, the treebanks range in size from less than 1,000 tokens to over 3 million tokens. We expect the next release to be available in May 2024. The size of the following 23 treebanks changed significantly since the last release: Ancient Greek PTNK : 0 → 39509 Beja NSC : 857 → 1206 Bororo BDT : 692 → 1905 Chinese Beginner : 0 → 19999 Chinese PatentChar : 2160 → 4784 Classical Armenian CAVaL : 0 → 13522 Czech Poetry : 0 → 6288 Georgian GLC : 0 → 2335 Haitian Creole Autogramm : 0 → 3278 Highland Puebla Nahuatl ITML: 0 → 10103 Italian Old : 0 → 41367 Low Saxon LSDC : 2935 → 4683 Macedonian MTB : 0 → 1360 Middle French PROFITEROLE : 0 → 12025 Nheengatu CompLin : 8604 → 12743 Old East Slavic Ruthenian : 10011 → 96803 Old French SRCMF : 199699 → 0 Old French PROFITEROLE : 0 → 227137 Portuguese GSD : 0 → 318666 Portuguese Porttinari : 0 → 168080 Russian Poetry : 0 → 64112 Teko TuDeT : 2272 → 2896 Veps VWT : 0 → 1303 Daniel Zeman, Joakim Nivre, Mitchell Abrams, Elia Ackermann, Noëmi Aepli, Hamid Aghaei, Željko Agić, Amir Ahmadi, Lars Ahrenberg, Chika Kennedy Ajede, Salih Furkan Akkurt, Gabrielė Aleksandravičiūtė, Ika Alfina, Avner Algom, Khalid Alnajjar, Chiara Alzetta, Erik Andersen, Lene Antonsen, Tatsuya Aoyama, Katya Aplonova, Angelina Aquino, Carolina Aragon, Glyd Aranes, Maria Jesus Aranzabe, Bilge Nas Arıcan, Þórunn Arnardóttir, Gashaw Arutie, Jessica Naraiswari Arwidarasti, Masayuki Asahara, Katla Ásgeirsdóttir, Deniz Baran Aslan, Cengiz Asmazoğlu, Luma Ateyah, Furkan Atmaca, Mohammed Attia, Aitziber Atutxa, Liesbeth Augustinus, Mariana Avelãs, Elena Badmaeva, Keerthana Balasubramani, Miguel Ballesteros, Esha Banerjee, Sebastian Bank, Verginica Barbu Mititelu, Starkaður Barkarson, Rodolfo Basile, Victoria Basmov, Colin Batchelor, John Bauer, Seyyit Talha Bedir, Shabnam Behzad, Juan Belieni, Kepa Bengoetxea, İbrahim Benli, Yifat Ben Moshe, Gözde Berk, Riyaz Ahmad Bhat, Erica Biagetti, Eckhard Bick, Agnė Bielinskienė, Kristín Bjarnadóttir, Rogier Blokland, Victoria Bobicev, Loïc Boizou, Emanuel Borges Völker, Carl Börstell, Cristina Bosco, Gosse Bouma, Sam Bowman, Adriane Boyd, Anouck Braggaar, António Branco, Kristina Brokaitė, Aljoscha Burchardt, Marisa Campos, Marie Candito, Bernard Caron, Gauthier Caron, Catarina Carvalheiro, Rita Carvalho, Lauren Cassidy, Maria Clara Castro, Sérgio Castro, Tatiana Cavalcanti, Gülşen Cebiroğlu Eryiğit, Flavio Massimiliano Cecchini, Giuseppe G. A. Celano, Slavomír Čéplö, Neslihan Cesur, Savas Cetin, Özlem Çetinoğlu, Fabricio Chalub, Liyanage Chamila, Shweta Chauhan, Ethan Chi, Taishi Chika, Yongseok Cho, Jinho Choi, Jayeol Chun, Juyeon Chung, Alessandra T. Cignarella, Silvie Cinková, Aurélie Collomb, Çağrı Çöltekin, Miriam Connor, Claudia Corbetta, Daniela Corbetta, Francisco Costa, Marine Courtin, Benoît Crabbé, Mihaela Cristescu, Vladimir Cvetkoski, Ingerid Løyning Dale, Philemon Daniel, Elizabeth Davidson, Leonel Figueiredo de Alencar, Mathieu Dehouck, Martina de Laurentiis, Marie-Catherine de Marneffe, Valeria de Paiva, Mehmet Oguz Derin, Elvis de Souza, Arantza Diaz de Ilarraza, Carly Dickerson, Arawinda Dinakaramani, Elisa Di Nuovo, Bamba Dione, Peter Dirix, Kaja Dobrovoljc, Adrian Doyle, Timothy Dozat, Kira Droganova, Magali Sanches Duran, Puneet Dwivedi, Christian Ebert, Hanne Eckhoff, Masaki Eguchi, Sandra Eiche, Marhaba Eli, Ali Elkahky, Binyam Ephrem, Olga Erina, Tomaž Erjavec, Farah Essaidi, Aline Etienne, Wograine Evelyn, Sidney Facundes, Richárd Farkas, Federica Favero, Jannatul Ferdaousi, Marília Fernanda, Hector Fernandez Alcalde, Amal Fethi, Jennifer Foster, Theodorus Fransen, Cláudia Freitas, Kazunori Fujita, Katarína Gajdošová, Daniel Galbraith, Federica Gamba, Marcos Garcia, Moa Gärdenfors, Fabrício Ferraz Gerardi, Kim Gerdes, Luke Gessler, Filip Ginter, Gustavo Godoy, Iakes Goenaga, Koldo Gojenola, Memduh Gökırmak, Yoav Goldberg, Xavier Gómez Guinovart, Berta González Saavedra, Bernadeta Griciūtė, Matias Grioni, Loïc Grobol, Normunds Grūzītis, Bruno Guillaume, Kirian Guiller, Céline Guillot-Barbance, Tunga Güngör, Nizar Habash, Hinrik Hafsteinsson, Jan Hajič, Jan Hajič jr., Mika Hämäläinen, Linh Hà Mỹ, Na-Rae Han, Muhammad Yudistira Hanifmuti, Takahiro Harada, Sam Hardwick, Kim Harris, Dag Haug, Johannes Heinecke, Oliver Hellwig, Felix Hennig, Barbora Hladká, Jaroslava Hlaváčová, Florinel Hociung, Petter Hohle, Yidi Huang, Marivel Huerta Mendez, Jena Hwang, Takumi Ikeda, Anton Karl Ingason, Radu Ion, Elena Irimia, Ọlájídé Ishola, Artan Islamaj, Kaoru Ito, Sandra Jagodzińska, Siratun Jannat, Tomáš Jelínek, Apoorva Jha, Katharine Jiang, Anders Johannsen, Hildur Jónsdóttir, Fredrik Jørgensen, Markus Juutinen, Hüner Kaşıkara, Nadezhda Kabaeva, Sylvain Kahane, Hiroshi Kanayama, Jenna Kanerva, Neslihan Kara, Ritván Karahóǧa, Andre Kåsen, Tolga Kayadelen, Sarveswaran Kengatharaiyer, Václava Kettnerová, Lilit Kharatyan, Jesse Kirchner, Elena Klementieva, Elena Klyachko, Petr Kocharov, Arne Köhn, Abdullatif Köksal, Kamil Kopacewicz, Timo Korkiakangas, Mehmet Köse, Alexey Koshevoy, Natalia Kotsyba, Jolanta Kovalevskaitė, Simon Krek, Parameswari Krishnamurthy, Sandra Kübler, Adrian Kuqi, Oğuzhan Kuyrukçu, Aslı Kuzgun, Sookyoung Kwak, Kris Kyle, Käbi Laan, Veronika Laippala, Lorenzo Lambertino, Tatiana Lando, Septina Dian Larasati, Alexei Lavrentiev, John Lee, Phương Lê Hồng, Alessandro Lenci, Saran Lertpradit, Herman Leung, Maria Levina, Lauren Levine, Cheuk Ying Li, Josie Li, Keying Li, Yixuan Li, Yuan Li, KyungTae Lim, Bruna Lima Padovani, Yi-Ju Jessica Lin, Krister Lindén, Yang Janet Liu, Nikola Ljubešić, Irina Lobzhanidze, Olga Loginova, Lucelene Lopes, Stefano Lusito, Andry Luthfi, Mikko Luukko, Olga Lyashevskaya, Teresa Lynn, Vivien Macketanz, Menel Mahamdi, Jean Maillard, Ilya Makarchuk, Aibek Makazhanov, Michael Mandl, Christopher Manning, Ruli Manurung, Büşra Marşan, Cătălina Mărănduc, David Mareček, Katrin Marheinecke, Stella Markantonatou, Héctor Martínez Alonso, Lorena Martín Rodríguez, André Martins, Cláudia Martins, Jan Mašek, Hiroshi Matsuda, Yuji Matsumoto, Alessandro Mazzei, Ryan McDonald, Sarah McGuinness, Gustavo Mendonça, Tatiana Merzhevich, Niko Miekka, Aaron Miller, Karina Mischenkova, Anna Missilä, Cătălin Mititelu, Maria Mitrofan, Yusuke Miyao, AmirHossein Mojiri Foroushani, Judit Molnár, Amirsaeid Moloodi, Simonetta Montemagni, Amir More, Laura Moreno Romero, Giovanni Moretti, Shinsuke Mori, Tomohiko Morioka, Shigeki Moro, Bjartur Mortensen, Bohdan Moskalevskyi, Kadri Muischnek, Robert Munro, Yugo Murawaki, Kaili Müürisep, Pinkey Nainwani, Mariam Nakhlé, Juan Ignacio Navarro Horñiacek, Anna Nedoluzhko, Gunta Nešpore-Bērzkalne, Manuela Nevaci, Lương Nguyễn Thị, Huyền Nguyễn Thị Minh, Yoshihiro Nikaido, Vitaly Nikolaev, Rattima Nitisaroj, Alireza Nourian, Maria das Graças Volpe Nunes, Hanna Nurmi, Stina Ojala, Atul Kr. Ojha, Hulda Óladóttir, Adédayọ̀ Olúòkun, Mai Omura, Emeka Onwuegbuzia, Noam Ordan, Petya Osenova, Robert Östling, Lilja Øvrelid, Şaziye Betül Özateş, Merve Özçelik, Arzucan Özgür, Balkız Öztürk Başaran, Teresa Paccosi, Alessio Palmero Aprosio, Anastasia Panova, Thiago Alexandre Salgueiro Pardo, Hyunji Hayley Park, Niko Partanen, Elena Pascual, Marco Passarotti, Agnieszka Patejuk, Guilherme Paulino-Passos, Giulia Pedonese, Angelika Peljak-Łapińska, Siyao Peng, Siyao Logan Peng, Rita Pereira, Sílvia Pereira, Cenel-Augusto Perez, Natalia Perkova, Guy Perrier, Slav Petrov, Daria Petrova, Andrea Peverelli, Jason Phelan, Claudel Pierre-Louis, Jussi Piitulainen, Yuval Pinter, Clara Pinto, Rodrigo Pintucci, Tommi A Pirinen, Emily Pitler, Magdalena Plamada, Barbara Plank, Thierry Poibeau, Larisa Ponomareva, Martin Popel, Lauma Pretkalniņa, Sophie Prévost, Prokopis Prokopidis, Adam Przepiórkowski, Robert Pugh, Tiina Puolakainen, Sampo Pyysalo, Peng Qi, Andreia Querido, Andriela Rääbis, Alexandre Rademaker, Mizanur Rahoman, Taraka Rama, Loganathan Ramasamy, Carlos Ramisch, Joana Ramos, Fam Rashel, Mohammad Sadegh Rasooli, Vinit Ravishankar, Livy Real, Petru Rebeja, Siva Reddy, Mathilde Regnault, Georg Rehm, Arij Riabi, Ivan Riabov, Michael Rießler, Erika Rimkutė, Larissa Rinaldi, Laura Rituma, Putri Rizqiyah, Luisa Rocha, Eiríkur Rögnvaldsson, Ivan Roksandic, Mykhailo Romanenko, Rudolf Rosa, Valentin Roșca, Davide Rovati, Ben Rozonoyer, Olga Rudina, Jack Rueter, Kristján Rúnarsson, Shoval Sadde, Pegah Safari, Aleksi Sahala, Shadi Saleh, Alessio Salomoni, Tanja Samardžić, Stephanie Samson, Manuela Sanguinetti, Ezgi Sanıyar, Dage Särg, Marta Sartor, Mitsuya Sasaki, Baiba Saulīte, Agata Savary, Yanin Sawanakunanon, Shefali Saxena, Kevin Scannell, Salvatore Scarlata, Emmanuel Schang, Nathan Schneider, Sebastian Schuster, Lane Schwartz, Djamé Seddah, Wolfgang Seeker, Mojgan Seraji, Syeda Shahzadi, Mo Shen, Atsuko Shimada, Hiroyuki Shirasu, Yana Shishkina, Muh Shohibussirri, Maria Shvedova, Janine Siewert, Einar Freyr Sigurðsson, João Silva, Aline Silveira, Natalia Silveira, Sara Silveira, Maria Simi, Radu Simionescu, Katalin Simkó, Mária Šimková, Haukur Barri Símonarson, Kiril Simov, Dmitri Sitchinava, Ted Sither, Maria Skachedubova, Aaron Smith, Isabela Soares-Bastos, Per Erik Solberg, Barbara Sonnenhauser, Shafi Sourov, Rachele Sprugnoli, Vivian Stamou, Steinþór Steingrímsson, Antonio Stella, Abishek Stephen, Milan Straka, Emmett Strickland, Jana Strnadová, Alane Suhr, Yogi Lesmana Sulestio, Umut Sulubacak, Shingo Suzuki, Daniel Swanson, Zsolt Szántó, Chihiro Taguchi, Dima Taji, Fabio Tamburini, Mary Ann C. Tan, Takaaki Tanaka, Dipta Tanaya, Mirko Tavoni, Samson Tella, Isabelle Tellier, Marinella Testori, Guillaume Thomas, Sara Tonelli, Liisi Torga, Marsida Toska, Trond Trosterud, Anna Trukhina, Reut Tsarfaty, Utku Türk, Francis Tyers, Sveinbjörn Þórðarson, Vilhjálmur Þorsteinsson, Sumire Uematsu, Roman Untilov, Zdeňka Urešová, Larraitz Uria, Hans Uszkoreit, Andrius Utka, Elena Vagnoni, Sowmya Vajjala, Socrates Vak, Rob van der Goot, Martine Vanhove, Daniel van Niekerk, Gertjan van Noord, Viktor Varga, Uliana Vedenina, Giulia Venturi, Eric Villemonte de la Clergerie, Veronika Vincze, Natalia Vlasova, Aya Wakasa, Joel C. Wallenberg, Lars Wallin, Abigail Walsh, Jonathan North Washington, Maximilan Wendt, Paul Widmer, Shira Wigderson, Sri Hartati Wijono, Vanessa Berwanger Wille, Seyi Williams, Mats Wirén, Christian Wittern, Tsegay Woldemariam, Tak-sum Wong, Alina Wróblewska, Qishen Wu, Mary Yako, Kayo Yamashita, Naoki Yamazaki, Chunxiao Yan, Koichi Yasuoka, Marat M. Yavrumyan, Arife Betül Yenice, Olcay Taner Yıldız, Zhuoran Yu, Arlisa Yuliawati, Zdeněk Žabokrtský, Shorouq Zahra, Amir Zeldes, He Zhou, Hanzhi Zhu, Yilun Zhu, Anna Zhuravleva, Rayan Ziane References Marie-Catherine de Marneffe, Christopher Manning, Joakim Nivre, Daniel Zeman. 2021. Universal Dependencies. In Computational Linguistics 47:2, pp. 255–308. Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, Daniel Zeman. 2020. Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. In Proceedings of LREC. -------------------------------------------------------------------------------- Marie-Catherine de Marneffe, Bill MacCartney, and Christopher D. Manning. 2006. Generating typed dependency parses from phrase structure parses. In Proceedings of LREC. Marie-Catherine de Marneffe and Christopher D. Manning. 2008. The Stanford typed dependencies representation. In COLING Workshop on Cross-framework and Cross-domain Parser Evaluation. Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre, and Christopher Manning. 2014. Universal Stanford Dependencies: A cross-linguistic typology. In Proceedings of LREC. Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajič, Christopher D. Manning, Ryan McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, Daniel Zeman. 2016. Universal Dependencies v1: A Multilingual Treebank Collection. In Proceedings of LREC. Slav Petrov, Dipanjan Das, and Ryan McDonald. 2012. A universal part-of-speech tagset. In Proceedings of LREC. Daniel Zeman. 2008. Reusable Tagset Conversion Using Tagset Drivers. In Proceedings of LREC.

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November 2023 Newsletter - LDC
by Penn LDC 15 Nov '23

15 Nov '23

In this newsletter: Join LDC for Membership Year 2024 Spring 2024 data scholarship application deadline New publications: REMIX Telephone Collection<https://catalog.ldc.upenn.edu/LDC2023S09> News Sub-domain Named Entity Recognition<https://catalog.ldc.upenn.edu/LDC2023T12> ________________________________ Join LDC for Membership Year 2024 It's time to renew your LDC membership for 2024. Current (2023) members who renew their membership before March 1, 2024 will receive a 10% discount. New or returning organizations will receive a 5% discount if they join the Consortium by March 1. In addition to receiving new publications, current LDC members enjoy the benefit of licensing older data from our Catalog of 940+ holdings at reduced fees. Current-year for-profit members may use most data for commercial applications. Plans for 2024 publications are in progress. Among the expected releases are: * KASET: 147 hours of Sorani Kurdish and Kurmanji Kurdish conversational telephone speech and web broadcasts, 65 hours transcribed * AIDA Topic Source Data and Annotations: multimodal source data and annotations in multiple languages (Russian, Ukrainian, English, Spanish) for information and entity extraction * RATS Low Speech Density Data: 87 hours of Levantine Arabic, English, Persian, Pushto, and Urdu audio files selected from RATS speech activity detection and keyword spotting data sets, also including communications systems sounds and silence * Call My Net 1: 364 hours of conversational telephone speech recordings in Tagalog, Cebuano, Cantonese and Mandarin from speakers in the Philippines and China using various handsets under diverse noise conditions * Ravnursson Faroese Speech and Transcripts: 109 hours of read speech from 433 native speakers with transcripts * Diaspora Tibetan Speech: elicited, read, and spontaneous speech from 73 native Tibetan speakers in Katmandu's diaspora Tibetan community, some recordings transcribed * IARPA MATERIAL language packs: conversational telephone speech, transcripts, English translations, annotations, and queries in multiple languages (e.g., Bulgarian, Somali, Georgian) * LORELEI: representative and incident language packs containing monolingual text, bi-text, translations, annotations, supplemental resources, and related tools in various languages (e.g., Farsi, Hungarian, Hindi, Amharic) For full descriptions of all LDC data sets, browse our Catalog<https://catalog.ldc.upenn.edu/>. Visit Join LDC<https://www.ldc.upenn.edu/members/join-ldc> for details on membership, user accounts and payment. Spring 2024 data scholarship application deadline Applications are now being accepted through January 15, 2024, for the Spring 2024 LDC data scholarship program, which provides university students with no-cost access to LDC data. Consult the LDC Data Scholarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarships> page for more information about program rules and submission requirements. ________________________________ New publications: REMIX Telephone Collection<https://catalog.ldc.upenn.edu/LDC2023S09> was developed by LDC and contains 320 hours of English conversational telephone speech from 358 speakers who had completed all tasks in one of the previous LDC Mixer collections, specifically, Mixers 4-7. The data was collected in 2012; recordings in this corpus were used to support the NIST 2012 Speaker Recognition Evaluation. Speakers completed up to 12 calls lasting up to 10 minutes conversing on suggested topics. They were asked that half of the calls be made in a "noisy" environment, e.g., from a speakerphone, a busy street, noisy store or office, or a room with loud background noise. Speaker metadata is included. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * News Sub-domain Named Entity Recognition<https://catalog.ldc.upenn.edu/LDC2023T12> was developed at the University of Pennsylvania and contains over 20,000 English news sentences annotated with named entities and categorized into sub-domains. The sentences were extracted from The New York Times Annotated Corpus (LDC2008T19)<https://catalog.ldc.upenn.edu/LDC2008T19>. Named entity annotation was based on the CoNLL-2003 guidelines and annotation scheme<https://paperswithcode.com/dataset/conll-2003>. Sentences were labeled with person (PER), location (LOC) and organization (ORG) tags using phrase matching with a manual second pass. Sub-domains are: Arts (+Weekend/Cultural), Business (+Financial), Classifieds (+Obituary), Editorial, Foreign, Metropolitan, Sports, and Others. "Others" includes topics such as Real Estate, New Jersey Weekly, Book Review, Job Market, Science, and Health & Fitness. 2023 members can access this corpus through their LDC accounts provided they have submitted a signed copy of the special license agreement. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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