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Call for Abstracts - North American Research Network in Historical Sociolinguistics - Fifth Annual Meeting (NARNiHS 2023)
by Lauersdorf, Mark R. 24 Jul '22

24 Jul '22

***** Call for Abstracts ***** NARNiHS 2023 ***** North American Research Network in Historical Sociolinguistics ***** Fifth Annual Meeting Despite the recent relaxation of global pandemic travel policies, travel concerns remain for many communities as of the summer of 2022. In light of these concerns, and in response to the positive feedback we have received concerning our recent all-online events, our NARNiHS 2023 Annual Meeting will once again be taking place as a **free, entirely online event**. This presents a great opportunity for scholars in historical sociolinguistics from all over the world to participate as presenters and/or attendees without the limitations imposed by international travel. We encourage our fellow historical sociolinguists and scholars from related fields from our global scholarly community (in addition to North America) to join us online for our Fifth Annual Meeting. ==> Abstract submission deadline: Monday, 19 September 2022, 11:59 PM US Eastern Time. Please see our call for abstracts below and send us your latest work in historical sociolinguistics! ----- Call for Abstracts -----. The North American Research Network in Historical Sociolinguistics (NARNiHS) is accepting abstracts for its Fifth Annual Meeting (NARNiHS 2023), to take place Wednesday, January 4 - Sunday, January 8, 2023. Since NARNiHS is a Sister Society of the Linguistic Society of America (LSA), NARNiHS 2023 will partially overlap with the LSA 2023 Annual Meeting. The NARNiHS 2023 Annual Meeting, however, will be organized independently from the LSA Annual Meeting. ==> Deadline for receipt of abstracts: Monday, 19 September 2022, 11:59 PM US Eastern Time. * Late abstracts will not be considered *. NARNiHS welcomes abstracts in all areas of historical sociolinguistics, which is understood as the application/development of sociolinguistic theories, models, and methods for the study of historical language variation and change over time, or more broadly, the study of the interaction of language and society in historical periods and from historical perspectives. Thus, a wide range of linguistic areas, subdisciplines, and methodologies easily find their place within the field, and we encourage submission of abstracts that reflect this broad scope. Abstracts will be accepted for 20-minute presentations to be delivered "live" through an online video-conferencing platform. *** Abstracts will be evaluated on the following criteria ***. - explicit discussion of which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued; - sufficient (if brief) presentation of data sources and examples to allow reviewers a clear understanding of the scope and claims of the research; - clear articulation of how the research advances knowledge in the field of historical sociolinguistics. Abstracts should also be anonymized to allow for blind peer review. Failure to adhere to these criteria will increase the likelihood of non-acceptance. *** General Requirements ***. 1) Abstracts must be submitted electronically, using the following link: http://linguistlist.org/easyabs/5THnarnihs2023 . 2) Authors may submit a maximum of two abstracts: one single-author abstract and one co-authored abstract. 3) After an abstract has been submitted, no changes of author, title, or wording of the abstract, other than those due to typographical errors, are permitted. If accepted, authors will be contacted for a final version for the abstract booklet. 4) Papers must be delivered as projected in the abstract or represent bona fide developments of the same research. 5) Authors are expected to attend the conference and present their own papers. 6) Presentations will be delivered via a video-conferencing platform, most likely Zoom. Technical details and instructions regarding the platform for our NARNiHS Annual Meeting will be sent to authors in due time. 7) After acceptance, authors will be given an option to have their live presentation recorded during the meeting and archived for future online viewing. *** Abstract Format Guidelines ***. 1) Abstracts must be submitted in PDF format. 2) Abstracts must fit on one standard 8.5x11 inch page, with margins no smaller than 1 inch and a font style and size no smaller than Times New Roman 12 point. All additional content (visualizations, trees, tables, figures, captions, examples, and references) must fit on a single (1) additional page. No exceptions to these requirements are allowed. 3) Anonymize your abstract. We realize that sometimes it is not possible to attain complete anonymity, but there is a difference between "inability to anonymize completely" (due to the nature of the research) and "careless non-anonymizing" (for example: "In Jones 2021, I describe..."). In addition, be sure to anonymize your PDF file (you may do so in Adobe Acrobat Reader by clicking on "File", then "Properties", removing your name if it appears in the "Author" line of the "Description" tab, and re-saving before submitting it). Please be aware that abstract file names might not be automatically anonymized by the system; do not use your name (e.g. Smith_Abstract.pdf) when saving your abstract in PDF format, rather, use non-identifying information (e.g. HistSoc4Lyfe_NARNiHS.pdf). Your name should only appear in the online form accompanying your abstract submission. Papers that are not sufficiently anonymized wherever possible (whether in the text of the abstract or in the metadata of the digital file) risk being rejected. Contact us at NARNiHistSoc(a)gmail.com with any questions.

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Invitation to QUALICO 2023 conference, Switzerland
by Adam Pawłowski 23 Jul '22

23 Jul '22

Dear Colleagues, I include below an invitation to the conference QUALICO 2023. Best regards, Adam Pawłowski Uniwersytet Wrocławski, Institute of Information and Media Sciences Head of the Digital Humanities Lab Call for Papers Submission Deadline : January 8th, 2023 QUALICO 2023 Lausanne, Switzerland, June 28-30, 2023 https://www.unil.ch/qualico2023/ The 12th International Quantitative Linguistics Conference will take place in Lausanne, Switzerland, on June 28-30, 2023. QUALICO 2023 is organized by the International Quantitative Linguistics Association (IQLA) and the Department of Language and Information Sciences (SLI) at the University of Lausanne (UNIL). Topics All contributions relating to quantitative linguistics and text analysis are welcome. We particularly encourage submissions on: Descriptions of all aspects of language and text phenomena, including psycholinguistics, sociolinguistics, dialectology, pragmatics, language typology, language acquisition, language evolution, usage-based approaches, information science, etc., insofar as they use quantitative mathematical methods (probability theory, stochastic processes, differential and difference equations, multidimensional analysis, fuzzy logics and set theory, function theory, etc.). Applications of methods, models, or findings from quantitative linguistics to problems of natural language processing, text classification, stylistics, authorship attribution, language teaching, scientometrics, bibliometrics, text mining, language complexity and complex network analysis. Methods of linguistic measurement, model construction, sampling and test theory. Epistemological issues relevant to quantitative linguistics such as explanation of language and text phenomena, contributions to theory construction, systems theory, philosophy of science. Oral and Poster Sessions Presentations should be in English. Each paper will be allotted 30 minutes (20 minutes of presentation and 10 minutes of discussion). There will also be a poster session. Multiple Works by the Same Author The maximum number of submissions by the same author or co-author is two papers. Submissions exceeding this threshold will be automatically deleted without notification. Submission of Abstracts The submission of an abstract will be via EasyChair https://easychair.org/conferences/?conf=qualico2023 Abstracts must be in English and should include keywords, authors affiliations and references. They should not exceed 500 words (excluding keywords, authors affiliations and references) and 2 pages all included. The requested format for submission is PDF. The deadline for submission is January 8th 2023, 11:59:59 pm (GMT). Notification of Acceptance Notification of acceptance will be sent to the contact author by February 28th 2023. Conference Volume We will invite authors of accepted abstracts to submit full papers for publication in the conference volume, which will be proposed for publication with a leading publisher. Participation Fees Participation fees must be paid before April 30th, 2023. The fees are: Regular: 250€ IQLA Member: 150€ Participation fees include: An abstract book for the conference. Conference volume of full papers. One lunch break meal voucher and 2 coffee break vouchers for every day. For participants interested in the special social event, an extra fee will be added (still to be determined). Conference Venue Anthropole, UNIL-Chamberonne. 1015 Chavannes-près-Renens, SWITZERLAND https://goo.gl/maps/d6QtQM2SCzRTutAG9 The conference will take place on-site unless the sanitary situation in June 2023 requires switching to a remote, online modality. Contact qualico2023(a)unil.ch For further details, visit the conference webpage: https://www.unil.ch/qualico2023/ Scientific Committee François Bavaud, University of Lausanne Radek Cech, University of Ostrava Xinying Chen, Xi'an Jiaotong University Sheila Embleton, York University Guillaume Guex, University of Lausanne Emmerich Kelih, University of Vienna Ján Mačutek, Slovak Academy of Sciences & Constantine the Philosopher University in Nitra Coline Métrailler, University of Lausanne George Mikros, Hamad Bin Khalifa University Hermann Moisl, University of Newcastle Adam Pawłowski, University of Wrocław Haruko Sanada, Rissho University Benjamin Storme, University of Lausanne Arjuna Tuzzi, University of Padua Aris Xanthos, University of Lausanne Organizing Committee François Bavaud, Guillaume Guex, Coline Métrailler, Stéphanie Pichot, Benjamin Storme, and Aris Xanthos. Please read IQLA’s position regarding the war in Ukraine

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3rd CODI workshop: Deadline extension to July 28, 2022
by Chloé Braud 22 Jul '22

22 Jul '22

** apologies for cross-postings ** CODI, 3rd Workshop on Computational Approaches to Discourse Gyeongju, Republic of Korea ** Submission deadline: Extension to July 28, 2022 ** * Important information: The CODI workshop will be a hybrid workshop following COLING’s format. The workshop will take place on October 16-17, 2022. * Aims and scope The last ten years have seen a dramatic improvement in the ability of NLP systems to understand and produce words and sentences. This development has created a renewed interest in discourse problems as researchers move towards the processing of long-form text and conversations. There is a surge of activity in discourse parsing, coherence models, text summarization, corpora for discourse level reading comprehension, and discourse related/aided representation learning, to name a few. At this juncture, we have organized two Workshops on Computational Approaches to Discourse (CODI) at EMNLP 2020 and at EMNLP 2021 to bring together discourse experts and upcoming researchers. These workshops have catalyzed the speed and knowledge needed to solve such problems and have served as a forum for the discussion of suitable datasets and reliable evaluation methods. The previous workshops on discourse in machine translation (DiscoMT), linking lexical, sentential and discourse semantics (LSDSem), discourse structure in natural language generation (DSNNLG), discourse parsing and treebanking (DISRPT) and coreference (CORBON/CRAC), have shown that there is considerable interest and success in bringing together the community working on specific problems. We believe that the discourse community will also benefit from a general forum where work ranging from corpus development/analysis to computational models, and evaluation is discussed, and desiderata can be drawn for future progress. The 3rd CODI workshop is planned as a 1 1/2 day event which brings together different subcommunities. It will feature invited talks and regular papers on the first day. The second day will be dedicated to shared tasks and special sessions which focus on the issues mentioned above. After a first successful iteration in 2021 the shared task on coreference resolution (encompassing entity and abstract coreference and bridging anaphora) in dialogue will be held again in 2022 as the CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue, next to the CRAC 2022 Shared Task on Multilingual Coreference Resolution. Topics of interest We welcome symbolic and probabilistic approaches, corpus development and analysis, as well as machine and deep learning approaches to discourse. We appreciate theoretical contributions as well as practical applications, including demos of systems and tools. The goal of the workshop is to provide a forum for the community of NLP researchers working on all aspects of discourse. Topics of interest include, but are not limited to: * discourse structure * discourse connectives * discourse relations * annotation tools and schemes for discourse phenomena * corpora annotated with discourse phenomena * discourse parsing * cross-lingual discourse processing * cross-domain discourse processing * anaphora and coreference resolution * event coreference * argument mining * coherence modeling * discourse and semantics * discourse in applications such as machine translation, summarization, etc. * evaluation methodology for discourse processing Submissions We solicit four categories of papers: regular workshop papers, demos, shared task papers and extended abstracts. Only regular workshop papers, shared task papers and demos will be included in the proceedings as archival publications. Regular papers must describe original unpublished research. Long papers may consist of up to 8 pages of content, plus unlimited pages for references. Short papers can be up to 4 pages, plus unlimited pages for references. Demo submissions may describe systems, tools, visualizations, etc., and may consist of up to 4 pages, plus unlimited pages for references. Each submission can contain unlimited pages for Appendices but the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review them. Accepted long, short, and demo papers will be presented orally. Extended abstracts can describe work in progress or those already published elsewhere. These may be two pages long (without references). Extended abstracts are non-archival. They will be presented orally, and included in the workshop program and handbook, but will not appear in the workshop proceedings. Double submission of papers is allowed but will need to be notified at submission. Submission website All submissions must be anonymous and follow the COLING 2022 formatting instructions described here: https://coling2022.org/Submission Please submit your workshop papers at https://www.softconf.com/coling2022/CODI/ Shared task papers should be submitted to the links specified on the shared task pages. Important dates * 2022-07-25 --> 2022-07-28: CODI papers due * 2022-08-03: Reviewing period * 2022-08-24: Reviews due * 2022-09-01: Notification of acceptance * 2022-09-12: Camera ready deadline for main conference and CODI * 2022-10-16 – 2022-10-17: CODI workshopAll deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Invited Speakers * Nate Chambers, US Naval Academy * Bonnie Webber, University of Edinburgh Organizers * Chloé Braud, CNRS-IRIT * Christian Hardmeier, IT University of Copenhagen and Uppsala University * Jessy Li, University of Texas, Austin * Sharid Loáiciga, University of Gothenburg * Michael Strube, Heidelberg Institute for Theoretical Studies * Amir Zeldes, Georgetown UniversityTo contact the organizers, please send an email to: codi-workshop(a)googlegroups.com

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[Job] Postdoctoral researcher (m/f/d) in NLP, TrustHLT research group, TU Darmstadt, Germany
by ivan.habernal＠tu-darmstadt.de 22 Jul '22

22 Jul '22

# Postdoctoral researcher (m/f/d) in Natural Language Processing, TrustHLT research group, TU Darmstadt, Germany The independent research group Trustworthy Human Language Technologies (TrustHLT) at the Department of Computer Science of the Technical University of Darmstadt, Germany has a job opening for a **Postdoctoral researcher (m/f/d)** in the recently acquired project “PrivaLingo: Truly Privacy-Preserving Machine Translation” by Dr. Ivan Habernal. This position will focus on a broad range of research questions related to privacy-preserving NLP models with a special focus on neural machine translation. A solid background in machine learning for natural language processing is essential, prior experience with differential privacy in model training is a plus. Wages and salaries are based on the collective agreement applicable to the TU Darmstadt (TV-TU Darmstadt). The starting date is as soon as possible, the position is funded for 2 years. Candidates The ideal candidate holds a PhD degree in computer science, computational linguistics, machine learning, or a related discipline, has a strong interest in privacy in natural language processing, excellent analytical and programming skills, is a team player, and is fluent in English. Diversity TU Darmstadt is strongly committed to diversity and particularly welcomes applications from members of underrepresented groups. Applications from female candidates are highly encouraged. Team TrustHLT is an independent research group led by Dr. Ivan Habernal, appointed at the Department of Computer Science of the Technical University of Darmstadt. The group conducts research in the field of natural language processing with a focus on privacy-preserving technologies and legal argumentation, see www.trusthlt.org for more details. The Department of Computer Science at TU Darmstadt regularly ranks among the top in Germany. ## Application Please send your detailed CV including a publication list, names of two referees, and a letter of motivation outlining your research interests to ivan.habernal(a)tu-darmstadt.de, subject: “Postdoc application PrivaLingo”. Send all documents as a single PDF (“PDF Arranger” is a helpful tool, for instance). Please do not hesitate to contact Dr. Habernal should you have any further questions. Deadline for applications is August 5, 2022. Applications arriving after the deadline will still be considered if the position is not filled yet.

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[Job] Postdoctoral fellow: Georgetown University Neuroscience of Language training program (Washington, DC)
by Nathan Schneider 21 Jul '22

21 Jul '22

Sharing on behalf of colleagues—note that applicants may come from a variety of fields! See contact info at the bottom of the ad. Postdoctoral fellow: Georgetown University Neuroscience of Language training program (Washington, DC) Georgetown University’s new Neuroscience of Language T32 training program <https://sites.google.com/georgetown.edu/neuro-lang> is seeking postdoctoral fellows. The Neuroscience of Language program provides training in the brain basis of language, as well as sensory, motor, and cognitive systems as they pertain to language and communication. Georgetown has a number of faculty focused on Neuroscience of Language research, ranging from basic work on auditory or language processing (spoken, signed, and written language) to clinical trials in adults and children with brain injuries affecting language. Interactions with Georgetown’s highly regarded Linguistics Department, as well as Children’s National Hospital and MedStar National Rehabilitation Hospital, provide us with access to additional faculty and research populations and further enrich the training environment. Individuals with doctoral degrees from any field related to Neuroscience of Language (Neuroscience, Cognitive Science, Linguistics, Psychology, Communication Disorders, etc.) are encouraged to apply. Fellows will be supported for two years and will develop an individualized training plan to provide expertise across disciplines important to Neuroscience of Language research. Fellows will take coursework as needed and will participate in a regular journal club and seminar series, clinical experiences, community engagement activities, and professional development activities, in addition to conducting research in the neuroscience of language. The overall goal of the program is to develop well-rounded scientists who have a broad perspective on basic and clinical Neuroscience of Language. Fellows will work with one or more of the following investigators: Drs. Thomas Coate, Guinevere Eden, Rhonda Friedman, William Gaillard, Anna Greenwald, Xiong Jiang, Elissa Newport, Josef Rauschecker, Max Riesenhuber, Ella Striem-Amit, Ted Supalla, Peter Turkeltaub, and Michael Ullman. Collaborations among our faculty are common and a strength of our program. Appointments are funded at standard NIH NRSA stipend rates, with an initial one-year term to be renewed for an additional year if fellows meet the program requirements. U.S. citizens or permanent residents who currently hold a doctoral degree or will have met all doctoral program requirements before starting the program are eligible to apply. Individuals from groups recognized to be underrepresented in the sciences are encouraged to apply <http://www.nsf.gov/statistics/wmpd/>. Please submit the following application materials via the application form <https://forms.gle/eEBab9cYSGwYYmrk7>. - CV - Personal statement describing career goals, prior research, goals for postdoctoral training, and lab(s) of interest (3 pages) - Names and contact information for three references - Writing sample (manuscript or dissertation) Contact Dr. Peter Turkeltaub (peter.turkeltaub(a)georgetown.edu) with any questions about the program or eligibility. Contact Rachel Galginaitis ( rg1171(a)georgetown.edu) with questions about the application process. -- Nathan Schneider Assistant Professor of Linguistics and Computer Science, Georgetown University http://nathan.cl

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Shared Task on Dialect Identification
by Salam Khalifa 21 Jul '22

21 Jul '22

Hello All, We are pleased to announce the *Nuanced Arabic Dialect Identification (NADI)* shared task as part of the Workshop on Arabic NLP WANLP2022 <https://sites.google.com/view/wanlp2022/>. *Summary:* Arabic has a widely varying collection of dialects. Many of these dialects remain under-studied due to the rarity of resources. The goal of the Nuanced Arabic Dialect Identification (NADI) shared task series is to alleviate this bottleneck by providing datasets and modeling opportunities for participants to carry out dialect identification. Dialect identification is the task of automatically detecting the source variety of a given text or speech segment. In addition to nuanced dialect identification at the country level, NADI 2022 also offers a new subtask focused on country-level sentiment analysis. While we invite participation in either of the two subtasks, we hope that teams will submit systems to both tasks (i.e., participate in the two tasks rather than only one task). By offering two subtasks, we hope to receive systems that exploit diverse machine learning architectures. This could include multi-task learning systems as well as sequence-to-sequence architectures in a single model such as the text-to-text Transformer. Other approaches could also be possible. We introduce the two subtasks next. *Organizers:* Muhammad Abdul-Mageed, Chiyu Zhang, Abdelrahim Elmadany, Nizar Habash, and Houda Bouamor. To find more information about the shared task please visit: https://nadi.dlnlp.ai/ Looking forward to your participation, Salam Khalifa (On behalf of the WANLP publicity chairs) -- *Salam Khalifa* *PhD Student* *Linguistics Department* *Institute for Advanced Computational Science (IACS)* *Stony Brook University* salam.khalifa(a)stonybrook.edu

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CfP: Special Issue of RiCL on spoken corpora
by Robbie Love 21 Jul '22

21 Jul '22

Dear colleagues You may be interested to know that I am guest editing a special issue of the Research in Corpus Linguistics (RiCL) journal on "Innovations in the compilation and analysis of spoken corpora". The deadline for proposals is in October. Please find more information below. If this is of interest to you and you would like to discuss any ideas you may have, then please don't hesitate to email me directly. Best wishes Robbie *** Corpora derived from recordings of spoken language present unique challenges for linguists, from the perspectives of corpus design, compilation, processing and analysis, among others. Over the last few decades, there have been many developments in these areas, largely driven by technological innovations, for example: the ubiquity of digital recording devices for the easy capture of speech; the wide availability of video and audio data, from a variety of discourse contexts; advancements in automated transcription; developments in the exploitation of multimodal corpora; and advancements in the functionality of popular corpus tools to process highly-annotated corpora. This special issue of RiCL intends to capture recent innovations in the compilation and analysis of spoken corpora - both monomodal and multimodal - and highlight the current challenges and future opportunities in this area of study. Potential topics for the special issue include innovations in: * The design of (monomodal or multimodal) spoken corpora in a variety of domains * The collection, processing and exploitation of metadata (e.g. social variables, contextual variables, etc.) * The transcription of audio or audio-visual data * The analysis of spoken corpora, including but not limited to: theoretical frameworks, tool development, visualisation * The generation of knowledge about language and communication deriving from spoken corpora * The annotation and processing of spoken corpus data * The applications and impacts of spoken corpus analysis * The compilation and analysis of spoken corpora in lesser-studied language varieties This is an indicative and non-exhaustive list. To be clear, research on any language variet(y/ies) is welcome. If you have an idea but are not sure whether it would be suitable, please get in touch. Important Dates * Deadline for proposals: October 7, 2022 * Outcome of proposal review: October 28, 2022 * Deadline for manuscript first drafts: May 5, 2023 * Notification of reviewer outcome: September 1, 2023 * Deadline for manuscript final drafts: December 15, 2023 Special issue publication: Spring 2024 Proposal Format & Submission Submit a one-page abstract and tentative title for your proposed paper. The abstract should introduce the topic, motivate the study, summarise the methods and (where appropriate) describe the data to be analysed. Preliminary results are welcome but not required (i.e. we will consider proposals based on planned but not yet completed research). Please also include your name(s) and full contact information. Submit your proposal to Robbie Love (r.love(a)aston.ac.uk<mailto:r.love@aston.ac.uk>). RiCL's submission guidelines can be found at: https://ricl.aelinco.es/index.php/ricl/about/submissions Peer Review All accepted manuscripts will undergo double-blind peer review. Dr Robbie Love FHEA (he/him) Lecturer in English Language Director of Undergraduate English Programmes [cid:image001.png@01D89D20.AF468BA0] Department of English, Languages and Applied Linguistics, NW914A Birmingham, B4 7ET, UK aston.ac.uk @lovermob<https://twitter.com/lovermob>

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Large-scale Datasets for Persian Question Answering (University of Isfahan)
by mozafari.jamshid＠gmail.com 21 Jul '22

21 Jul '22

Dear colleagues, We are pleased to announce that the BigData Lab of the University of Isfahan has presented some large-scale datasets for Question Answering, Machine Reading Comprehension, and Answer Selection for the Persian language. We are very proud to share these datasets with our colleagues. These datasets are accessible from the links below: (1) PersianQuAD: The Native Question Answering Dataset for the Persian Language DOI: https://doi.org/10.1109/ACCESS.2022.3157289 Github: https://github.com/BigData-IsfahanUni/PersianQuAD Kaggle: https://www.kaggle.com/jamshidjdmy/persianquad (2) PerAnSel: A Novel Deep Neural Network-Based System for Persian Question Answering DOI: https://doi.org/10.1155/2022/3661286 Github: https://github.com/BigData-IsfahanUni/PerAnSel Kaggle: https://www.kaggle.com/jamshidjdmy/peransel (3) ParSQuAD: Persian Question Answering Dataset based on Machine Translation of SQuAD 2.0 DOI: https://dx.doi.org/10.22133/ijwr.2021.293313.1101 Github: https://github.com/BigData-IsfahanUni/ParSQuAD Kaggle: https://www.kaggle.com/neginabadani/parsquad

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PhD Position on Unified Foundation models for Speech-to-Speech Translation at FBK and Naver Labs Europe
by Matteo Negri 21 Jul '22

21 Jul '22

-- Apologies for cross-posting. -- Have you recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a related area? Are you interested in carrying out research on Speech-to-Speech Translation during the next few years? Are you excited to spend a part of your life in 2 pleasant alpine cities in France (Grenoble) and Italy (Trento)? WE ARE LOOKING FOR YOU!!! The Machine Translation <https://ict.fbk.eu/units/hlt-mt/> (MT) group at Fondazione Bruno Kessler (Trento, Italy) in conjunction with Naver Labs Europe <https://europe.naverlabs.com/> (Grenoble, France) are pleased to announce the availability of the following fully-funded Ph.D. position at the Doctorate Program in Industrial Innovation of the University of Trento and Fondazione Bruno Kessler <https://iid.unitn.it/>. TITLE: Unified Foundation models for Speech-to-Speech Translation DESCRIPTION: Current trends in Artificial Intelligence are characterized by the migration from “task-specific models” to the so-called “foundation models”. The former are usually trained on large datasets labelled for specific target applications. The latter, much more reusable and flexible, are trained on a variety of unlabeled data to perform different tasks with minimal fine-tuning. In recent years, the introduction of such models (e.g. BERT, GPT-3) has opened an unprecedented range of opportunities, with an explosion of AI applications fueled by the power of transfer learning across diverse data and tasks. In line with this trend, this PhD aims at investigating and training deep neural architectures to build large multimodal sequence-to-sequence models able to encode input speech and text in a common space, also being able to decode output text or speech from a common representation. Such a multimodal architecture, if then made multilingual, will become the future unified foundation model for building automatic speech recognition (ASR), text-to-speech synthesis (TTS), speech-to-text translation (S2T) and speech-to-speech translation (S2S) systems from a single backbone. REQUIRED SKILLS: The ideal candidate must have recently completed or expect by October 31st, 2022, an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a closely related area. In addition, the applicant should: - Have interest in Machine and Speech Translation - Have experience in deep learning and machine learning, in general - Have good programming skills in Python and experience in PyTorch - Enjoy working with real-world problems and large data sets - Have good knowledge of written and spoken English - Enjoy working in a closely collaborating international team Working Environment The doctoral student will be employed at the MT group at Fondazione Bruno Kessler and will work for an equivalent amount of time in two different labs (TBD): - The NLP team at Naver Labs Europe (Grenoble, France) - The Machine Translation (MT) group at Fondazione Bruno Kessler (Trento, Italy) NAVER LABS is the R&D subsidiary of NAVER, Korea’s leading internet company. FBK has trained many scientists nowadays employed in leading IT companies in the world. Both groups have a long tradition in research on machine and speech translation. Benefits Fondazione Bruno Kessler offers an attractive benefits package, including a flexible work week, full reimbursement for conferences and summer schools, a competitive scholarship, an excellent team of supervisors and mentors, help for housing search, full health insurance, the possibility of Italian courses, sporting facilities, and free canteen at lunch During the student’s research stays at Naver Labs Europe (Grenoble, France), accommodation and travel expenses from and to Trento will be fully covered. Further Information For preliminary interviews, and should you need further information about the position, please contact Matteo Negri (negri(a)fbk.eu), Laurent Besacier ( laurent.besacier(a)naverlabs.com) and Ioan Calapodescu ( ioan.calapodescu(a)naverlabs.com) COMPLETE DETAILS AVAILABLE AT: <https://iecs.unitn.it/education/admission/call-for-application> http://iid.unitn.it/education/admission/call-for-application <https://iid.unitn.it/education/admission/call-for-application> IMPORTANT DATES: The deadline for application: August 23, 2022 | 16:00 (CEST) Potential candidates are strongly invited to contact us in advance for preliminary interviews. Precedence for interviews will be given to short-listed candidates that will send us a complete CV via email ( negri(a)fbk.eu, laurent.besacier(a)naverlabs.com, ioan.calapodescu(a)naverlabs.com) by August 5, 2022. Best Regards, Matteo Negri -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Bilingual parallel dataset EN/ES
by Komal Florio 21 Jul '22

21 Jul '22

Dear all, I am looking for a bilingual parallel dataset in EN/ES or relevant shared tasks that may involve such linguistic resources. I do not have specific requirements in terms of the domain (or at least not in this exploratory phase), but it is mandatory that the two datasets were developed following exactly the same rules and with the same timestamp. Thanks very much! K. -- Komal Florio, PhD UNED Research Group in Natural Language Processing and Information Retrieval AVISO LEGAL. Este mensaje puede contener información reservada y confidencial. Si usted no es el destinatario no está autorizado a copiar, reproducir o distribuir este mensaje ni su contenido. Si ha recibido este mensaje por error, le rogamos que lo notifique al remitente. Le informamos de que sus datos personales, que puedan constar en este mensaje, serán tratados en calidad de responsable de tratamiento por la UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA (UNED) c/ Bravo Murillo, 38, 28015-MADRID-, con la finalidad de mantener el contacto con usted. La base jurídica que legitima este tratamiento, será su consentimiento, el interés legítimo o la necesidad para gestionar una relación contractual o similar. En cualquier momento podrá ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento o portabilidad de los datos, ante la UNED, Departamento de Política Jurídica de Seguridad de la Información<https://www.uned.es/dpj>, o a través de la Sede electrónica<https://sede.uned.es/> de la Universidad. Para más información visite nuestra Política de Privacidad<https://descargas.uned.es/publico/pdf/Politica_privacidad_UNED.pdf>.

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