- Corpora - ELRA lists

NLP acceleration: Two complementary onsite courses on Deep Learning and NLP
by eneko agirre 17 Nov '22

17 Nov '22

*Natural Language Processing acceleration: foundations and applications** **Two complementary courses on Deep Learning and NLP* January and February, 2023. San Sebastian, Spain ONSITE ATTENDANCE ONLY HANDS-ON, YOU LEARN TO IMPLEMENT THE MODELS http://ixa.eus/NLPacceleration Deep Learning neural network models have been successfully applied to natural language processing, and are now changing radically how we interact with machines (Siri, Alexa, machine translation or the Google search engine). Large Language Models are at the core of these developments, and are being used to crack "languages" in other disciplines, ranging from programming languages (Copilot) to proteins (AlphaFold) and gene sequences (GenSLM). You can take either one or both courses: Deep Learning for NLP <https://ixa.eus/dl4nlp> (January 9th to 27th, 35 hours, 14 evenings. 11th edition): This course introduces in detail the machinery that makes Deep Learning work for NLP, including the latest transformers and large language models like GPT, BERT and T5. It also covers the use of prompts for zero-shot and few-shot learning, as well as multimodal text-image models like DALL-E. The course combines theoretical and practical hands-on classes. Attendants will be able to understand the internal working of the models, and implement them nearly from scratch in Tensorflow. The aim is to allow attendees to acquire the ability to understand, modify and apply current and future Deep Learning models to NLP and other areas. Introduction to LT Applications <https://ixa.eus/iltapp> (July 11th to 15th, 20 hours, 5 afternoons. 3rd edition): This course introduces the main techniques to build applications, and apply them to core Language Technology applications such us Opinion Mining, Named Entity Recognition, Fake News Detection or Question Answering. The course will have a practical focus, learning to use readily available LT toolkits (Spacy, Flair, etc.). The aim is to allow attendees to acquire the required autonomy to apply LT technologies to target applications. *Registration* has to be done for each course, see respective websites. Note that you only need to pay the insurance for one of the courses.

1 1

Postdoc: Developing Text Mining methodologies for Public Health and behavior, needs and suggestions of professionals and citizens
by Kunneman, F.A. (Florian) 17 Nov '22

17 Nov '22

Do you have a PhD in Computational Linguistics or related? Would you like to develop text mining methodology, and improve the public health research, policy advice and communication of RIVM? Please apply at Vrije Universiteit Amsterdam (VU). Location: AMSTERDAM/BILTHOVEN FTE: 0.8 - 1 Job description The project you are working on as a postdoctoral researcher, is part of a research project funded by the National Institute for Public Health and the Environment (RIVM). Our goal is to use text mining methodologies to enable systematic insight in suggestions from citizens and professionals on specific RIVM themes. You work partly at the Social AI research group at VU, and partly at the National Coordination Centre for Communicable Disease Control (LCI) of RIVM. We offer you the opportunity to further develop your research skills, with a rich data infrastructure and the relevant expertise and guidance in the group. You get to apply Natural Language Processing (NLP) in practical use cases of RIVM, including end user evaluations. Every day RIVM receives hundreds of questions, comments and suggestions of citizens and professionals about the various topics that RIVM deals with. These many questions, comments and suggestions have the potential to provide RIVM with relevant societal feedback loops to better adapt its work to societal needs. As a postdoctoral researcher on this project, you set out to develop and validate text mining methodology, both supervised and unsupervised. Your methodologies are applicable to different data sources (including Social Media and internal platforms), themes and user groups (e.g.: citizens and health professionals). The predictions need to be presented in a suitable way to the envisioned end users: researchers, policy makers, medical doctors and communication experts at RIVM. These methods may target attitudes, beliefs, sentiments, needs, suggestions and experiences of professionals and citizens. At the end of the project, a multidisciplinary RIVM team may use them to support and enhance RIVM research, policy advice and communication. We also intend to publish our research results in international peer-reviewed (open access) journals. Your duties * doing high-quality application-oriented research and publish this research in international conferences with a focus on NLP * contributing to text mining education for staff members at RIVM * developing (re-)usable text mining code and tools Requirements * you hold, or will soon hold, a PhD degree in data science, computer science, artificial intelligence, information retrieval, computational linguistics, or a related field * you have experience with applying Natural Language Processing * you have a strong research potential, preferably evidenced by publications * you have an interest in the application domain, i.e., public health and health communication * you are proactive and a good communicator; creative and engaged * you have the ability to work independently and in a team * you can work together well with project members that have different expertise * you are a fluent speaker / writer of English What are we offering? A challenging position in a socially involved organization. On full-time basis the remuneration amounts to a minimum gross monthly salary of €2,960 (scale 10) and a maximum €4,670 (scale 10), depending on your education and experience. The job profile is based on the university job ranking system and is vacant for at least 0.8 FTE. The appointment will initially be for 1 year. After a satisfactory evaluation of the initial appointment, the contract will be extended for a total duration of 2.5 years Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as: * a maximum of 41 days of annual leave based on full-time employment * 8% holiday allowance and 8.3% end-of-year bonus * solid pension scheme (ABP) * contribution to commuting expenses * optional model for designing a personalized benefits package You will have a (physical) workplace both at RIVM (in Bilthoven) and at Vrije Universiteit in Amsterdam. Application Are you interested in this position? Please apply via https://workingat.vu.nl/ad/postdoctoral-research-position-developing-text-m… and upload your curriculum vitae and cover letter until 07/12/2022. Florian Kunneman Assistant Professor at the department of Computer Science | Vrije Universiteit Amsterdam AI Master Thesis coordinator Working days: Mo, Tu, Th, Fr Room 11A85 (NU Building) | T: +31.20.59 84452 | M: +31.6.33726175 fkunneman.github.io

1 0

CFP: Advanced Robotics Special Issue on Multimodal Processing and Robotics for Dialogue Systems
by Ryuichiro Higashinaka 17 Nov '22

17 Nov '22

Dear all, It is my great pleasure to announce that we have a special issue on "Multimodal Processing and Robotics for Dialogue Systems" in the journal of Advanced Robotics (Taylor & Francis). Please consider submitting your original paper to this special issue. The deadline is 31 Jan. 2023. https://think.taylorandfrancis.com/special_issues/advanced-robotics-multimo… https://www.rsj.or.jp/content/files/pub/ar/CFP/CFP_37_21.pdf I would also appreciate it if you could help distribute the CFP and encourage your colleagues to make submissions. Best regards, Ryuichiro Higashinaka on behalf of guest editors ///////////////////////////////////////////////////////////////////////// [Call for Papers] Advanced Robotics Special Issue on Multimodal Processing and Robotics for Dialogue Systems Co-Editors: Prof. David Traum (University of Southern California, USA) Prof. Gabriel Skantze (KTH Royal Institute of Technology, Sweden) Prof. Hiromitsu Nishizaki (University of Yamanashi, Japan) Prof. Ryuichiro Higashinaka (Nagoya University, Japan) Dr. Takashi Minato (RIKEN/ATR, Japan) Prof. Takayuki Nagai (Osaka University, Japan) Publication in Vol. 37, Issue 21 (Nov 2023) SUBMISSION DEADLINE: 31 Jan 2023 In recent years, as seen in smart speakers such as Google Home and Amazon Alexa, there has been remarkable progress in spoken dialogue systems technology to converse with users with human-like utterances. In the future, such dialogue systems are expected to support our daily activities in various ways. However, dialogue in daily activities is more complex than that with smart speakers; even with current spoken dialogue technology, it is still difficult to maintain a successful dialogue in various situations. For example, in customer service through dialogue, it is necessary for operators to respond appropriately to the different ways of speaking and requests of various customers. In such cases, we humans can switch the speaking manner depending on the type of customer, and we can successfully perform the dialogue by not only using our voice but also our gaze and facial expressions. This type of human-like interaction is far from possible with the existing spoken dialogue systems. Humanoid robots have the possibility to realize such an interaction, because they can recognize not only the user's voice but also facial expressions and gestures using various sensors, and can express themselves in various ways such as gestures and facial expressions using their bodies. Their many means of expressions have the potential to successfully continue dialogue in a manner different from conventional dialogue systems. The combination of such robots and dialogue systems can greatly expand the possibilities of dialogue systems, while at the same time, providing a variety of new challenges. Various research and development efforts are currently underway to address these new challenges, including "dialogue robot competition" at IROS2022. In this special issue, we invite a wide range of papers on multimodal dialogue systems and dialogue robots, their applications, and fundamental research. Prospective contributed papers are invited to cover, but are not limited to, the following topics on multimodal dialogue systems and robots: *Spoken dialogue processing *Multimodal processing *Speech recognition *Text-to-speech *Emotion recognition *Motion generation *Facial expression generation *System architecture *Natural language processing *Knowledge representation *Benchmarking *Evaluation method *Ethics *Dialogue systems and robots for competition Submission: The full-length manuscript (either PDF file or MS word file) should be sent by 31st Jan 2023 to the office of Advanced Robotics, the Robotics Society of Japan through the on-line submission system of the journal (https://www.rsj.or.jp/AR/submission). Sample manuscript templates and detailed instructions for authors are available at the website of the journal.

1 0

CFA - European Master in Law, Data and Artificial Intelligence EMILDAI
by Sheila Castilho M de Sousa 17 Nov '22

17 Nov '22

Dear Corpora members, We would be grateful if you could share this call for applications within your network. Applications for the 2023-25 edition of the EMILDAI programme are now open. The European Master in Law, Data and Artificial Intelligence (EMILDAI <http://www.emildai.eu/>) is an international interdisciplinary programme offered by Dublin City University, Avignon Université, Universidad de León and Università di Pisa. The master is funded by the Erasmus Mundus Joint Master programme of the European Union. This year we offer *23 full scholarships* (1400€/month x 24 months), up to 6 full fee waivers and up to 2 partial fee waivers. We are seeking excellent students from all nationalities with a degree in *computing* or *law*, and a knowledge of English and either French or Spanish. Applications will close on 20 January 2023. All information on how to apply is available on www.emildai.eu. Best Regards, -- Sheila Castilho -- __ Séanadh Ríomhphoist/_ Email Disclaimer__ ** Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://www.dcu.ie/iss/seanadh-riomhphoist.shtml> <https://www4.dcu.ie/iss/seanadh-riomhphoist.shtml>* _ This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://www.dcu.ie/iss/email-disclaimer.shtml> _ *_

1 0

CFP - Journal Procesamiento del Lenguaje Natural - issue 70 - Reminder
by Eugenio Martínez Cámara 17 Nov '22

17 Nov '22

*******We apologize for the multiple copies of this e-mail****** *Call for papers for the issue 70 of the journal Procesamiento del Lenguaje Natural* http://www.sepln.org/en/journal http://www.sepln.org/en/journal/author-guidelines --------------------------------------------** *Abstract (TL;DR)*: *Submission platform*: http://myreview.sepln.org/myreview-sepln70/ *Submission deadline*: December 2nd, 2022. *Notification of acceptance*: January 31st, 2023. *Camera-ready*: February 6th, 2023. *Published*: March 2023. --------------------------------------------* * *Introduction* The aim of the journal Procesamiento del Lenguaje Natural is to provide a forum for the publication of scientific-technical articles in the field of Natural Language Processing (NLP), for both the national and international scientific community. The articles must be unpublished and cannot be simultaneously submitted for publication in other journals or conference proceedings. The journal also aims to promote the development of areas related to NLP, disseminate research carried out, identify future guidelines for basic research, and present software applications in this field. Every year the Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN) (Spanish Society for the Natural Language Processing) publishes two issues of the journal, including original articles, presentations of R&D projects, book reviews and summaries of PhD theses. The scientific quality of the Journal is supported by the 2021 JCR index (JCI: 0.21, Q4-Linguistics - ESCI), the SCImago Journal Ranking (SJR: 0.217, Q4-Computer Science Applications, Q2-Linguistics and Language), the Scopus Index (CiteScore: 1.5, Q4-Computer Science Applications, Q2-Linguistics and Language) and the index SNIP (Source Normalized Impact per Paper) with 0.37 points. More information at: http://www.sepln.org/en/journal/quality. *Topics* * Linguistic, mathematical and psycholinguistic models of language * Machine learning in NLP * Computational lexicography and terminology * Corpus linguistics * Development of linguistic resources and tools * Grammars and formalisms for morphological and syntactic analysis * Semantics, pragmatics and discourse * Word sense disambiguation * Monolingual and multilingual text generation * Machine translation * Knowledge and common sense * Multimodality * Speech synthesis and recognition * Dialogue systems and interactive systems/ Conversational assistants * Audio indexing and retrieval * Monolingual and multilingual information extraction and retrieval * Question answering systems * Evaluation of NLP systems * Automatic textual content analysis * Sentiment analysis, opinion mining and argument mining * Plagiarism detection * Negation and speculation processing * Text mining in blogosphere and social networks * Text summarization * Text simplification * Image retrieval * NLP in biomedical domain * NLP-based generation of teaching resources * NLP for languages with limited resources * NLP industrial applications * Low-resource NLP tasks, data augmentation *Submission Information* The proposal must be submitted by *December 2nd, 2022* and must meet certain format and style requirements. All submissions must be in PDF format and submitted electronically using the Myreview system available at: *http://myreview.sepln.org/myreview-sepln70*. Submitted papers will be subjected to a blind review by at least three members of the program committee. *Categories of papers* * Regular papers with original contributions. * Summary of PhD thesis. *Information for Authors* The proposals can be written in Spanish or English and should be at most 10 A4-size pages of content, plus unlimited pages for references, and 4 pages maximum for summaries of PhD theses. The papers must include the following sections: * The title of the communication (in English and Spanish). * An abstract in English and Spanish (maximum 150 words). * A list of keywords or related topics (in English and Spanish). * The documents must not include headers or footers. As reviewing will be blind, the paper should not include the authors’ names and affiliation. Furthermore, self-references that reveal the author’s identity should be avoided. The articles should only include the title, the abstract, the keywords and the proposal. We recommend using the LaTeX and Word templates that can be downloaded from the SEPLN web (author guidelines have been updated): http://www.sepln.org/index.php/en/journal/author-guidelines *Note on camera ready* The final version of the paper (camera ready) should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. *Preprint policy* The Journal allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper it is “under review” in the Journal Procesamiento del Lenguaje Natural. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. *Important dates* * Submission deadline: 2 December 2022 * Notification of acceptance: 31 January 2023 * Camera ready: 6 February 2023 * Publication: March 2023 Contact person: Eugenio Martínez Cámara (emcamara(a)decsai.ugr.es) Editorial Committee of the Procesamiento del Lenguaje Natural -------------------------------------------------------------------------------------------------------------------- ***********Disculpen si reciben varias copias de este mensaje ************ Por favor, si lo considera oportuno, distribuya este llamamiento entre sus colegas. *Petición de artículos para la revista Procesamiento del Lenguaje Natural nº 70.* *http://www.sepln.org/la-revista http://www.sepln.org/la-revista/informacion-para-autores* --------------------------------------------** *Resumen*: *Plataforma de envío*: http://myreview.sepln.org/myreview-sepln70/*. Fecha final para el envío de trabajos*: 2 de diciembre de 2022.* **Notificación de aceptación*: 31 de enero de 2023.* Camera Ready*: 06 de febrero de 2023.* Publicación nº 70*: Marzo 2023. -------------------------------------------- *Objetivos de la revista* La revista Procesamiento del Lenguaje Natural es un foro de publicación de artículos científico-técnicos en el ámbito del Procesamiento del Lenguaje Natural (PLN), tanto para la comunidad científica nacional como internacional. Los artículos tienen que ser inéditos y no haber sido postulados para ser publicados simultáneamente en otras revistas o actas de congresos. La revista quiere potenciar el desarrollo de las diferentes áreas relacionadas con el PLN, mejorar la divulgación de las investigaciones que se llevan a cabo, identificar las futuras directrices de la investigación básica y mostrar las posibilidades reales de aplicación en este campo. Anualmente la SEPLN (Sociedad Española para el Procesamiento del Lenguaje Natural) publica dos números de la revista, que incluyen artículos originales, presentaciones de proyectos, reseñas bibliográficas y resúmenes de tesis doctorales. La calidad científica de la Revista está respaldada por el índice del JCR 2021 (JCI: 0,21, Q4-Linguistics - ESCI), el índice SCImago Journal Ranking (SJR: 0,217, Q4-Computer Science Applications, Q2-Linguistics and Language), el índice de Scopus (CiteScore: 1,5, Q4-Computer Science Applications, Q2-Linguistics and Language) y el índice SNIP (Source Normalized Impact per Paper) con 0,37 puntos. Más información en http://www.sepln.org/la-revista/calidad. *Áreas temáticas* * Modelos de lenguaje matemáticos y psicolingüísticos * Aprendizaje automático en PLN * Lexicografía y terminología computacional * Lingüística de corpus * Desarrollo de recursos y herramientas lingüísticas * Gramáticas y formalismos para análisis morfológico y sintáctico * Semántica, pragmática y discurso * Resolución de ambigüedad léxico-semántica * Generación de texto monolingüe y multilingüe * Traducción automática * Multimodalidad * Reconocimiento y síntesis de habla * Sistemas de diálogo/ asistentes conversacionales * Auto-indexación * Recuperación y extracción de información monolingüe y multilingüe * Sistemas de búsqueda de respuestas * Evaluación de sistemas de PLN * Análisis automático de contenido textual * Análisis de sentimiento y minería de opiniones * Detección de plagio * Procesamiento de la negación y la especulación * Minería de texto en la blogosfera y las redes sociales * Resumen automático de texto * Simplificación de texto * Recuperación de imágenes * Conocimiento y sentido común * PLN en el ámbito biomédico * Generación de recursos didácticos basada en PLN * PLN para lenguas con recursos limitados * Aplicaciones industriales del PLN * Tratamiento del Lenguaje Hablado *Envío de trabajos* Las propuestas de trabajos (artículos y resúmenes de tesis) podrán ser enviadas hasta la fecha límite del *2 de diciembre de 2022*. El envío y la revisión de las propuestas se realizarán exclusivamente en formato PDF y se gestionarán a través del sistema Myreview: *http://myreview.sepln.org/myreview-sepln70/*. La evaluación de los trabajos pasará por un proceso de revisión ciego realizado como mínimo por tres miembros del consejo asesor de la SEPLN. *Tipos de trabajos* * Artículos sobre contribuciones originales. * Reseñas de tesis doctorales. *Instrucciones para los Autores* Los trabajos pueden estar escritos en español o en inglés y su longitud máxima será de 10 páginas de contenido más un número ilimitado de páginas de referencias para los artículos científicos, y de un máximo de 4 páginas para los resúmenes de tesis. Las propuestas deben contener los siguientes apartados: * El título del artículo (en español e inglés). * Un resumen en español y un abstract en inglés de un máximo de 150 palabras. * Un listado de temas relacionados o palabras clave (en español e inglés). * Los documentos no podrán incluir cabeceras ni pies de página. Como la fase de revisión de los trabajos es ciega, en los artículos que se envíen no se debe incluir ninguna referencia a los autores ni referencias propias que revelen la identidad de los mismos. Todas las contribuciones deben contener únicamente el título, el resumen, las palabras claves y la propuesta. En el caso de los resúmenes de tesis, el anonimato no es necesario. Los trabajos deben seguir el formato de las revistas de la SEPLN disponible en la siguiente dirección: http://www.sepln.org/la-revista/informacion-para-autores Las guías se han actualizado, por favor, utilicen las que están disponibles en la página web de la revista. *Nota sobre la versión final* La versión final del trabajo (camera ready) debe enviarse con un documento en el que se explique cómo se han implementado las sugerencias de los revisores. Dicho documento se tendrá en cuenta para aceptar o rechazar el trabajo en cuestión. *Política de prepublicación* La revista permite publicar una versión no revisada de los artículos en plataformas de prepublicación (plataformas de artículos no evaluados como ArXiv). Sin embargo, durante el periodo de revisión se debe indicar que el artículo está “en revisión” en la revista Procesamiento del Lenguaje Natural. Si el artículo es aceptado, se debe actualizar la publicación en la plataforma de prepublicación con el DOI, nombre de la revista y la información bibliográfica del artículo. *Fechas importantes* * Envío de trabajos: 12 de diciembre de 2022 * Notificación de aceptación o rechazo: 31 de enero de 2023 * Versión final: 6 de febrero de 2023 * Publicación: Marzo de 2023 Persona de contacto: Eugenio Martínez Cámara (emcamara(a)decsai.ugr.es) Consejo de redacción de la revista Procesamiento del Lenguaje Natural. -- Eugenio Martínez Cámara Profesor Ayudante Doctor | Junior Lecturer DaSCI, Instituto Andaluz de Inteligencia Artificial | DaSCI, Andalusian Institute in Artificial Intelligence. Dpto. Ciencias de la Computación e Inteligencia Artificial | Computer Science and Artificial Intelligence department. Universidad de Granada

1 0

Jobs: Assistant Professors in AI/CL/NLP at the University of Groningen
by Bos, Johan 17 Nov '22

17 Nov '22

The GroNLP group is further expanding and we are looking for enthusiastic assistant professors in any (or related to) the areas of speech and language technology, artificial intelligence, data science, or computational social science. Follow the link for more information! https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Closing date: 10 Jan 2023 Feel free to contact me to get more information about these positions! Best regards, Johan Bos

1 0

SemEval-2023 Task 2 : MultiCoNER - 2nd Call for Participation
by Sudipta Kar 16 Nov '22

16 Nov '22

We invite you to participate in SemEval-2023 Task 2: *Multi*lingual *Co* mplex *N*amed *E*ntity *R*ecognition (MultiCoNER) II. *Task Website:* https://multiconer.github.io/ This task focuses on the *fine-grained* detection of complex entities, such as movie, book, music and product titles, in low context settings (short and uncased text). The task provides data in 12 language. Here are some examples in different languages where entities are enclosed inside brackets with their type: - *English: [wes anderson | Artist]*'s film *[the grand budapest hotel | VisualWork]* opened the festival . - *Spanish:* fue superado por el [aon center | Facility] de [los ángeles | HumanSettlement] . - *Ukranian:* назва альбому походить з роману « *[кінець дитинства | WrittenWork]* » англійського письменника* [артура кларка | Artist]* . - *Swedish: [tom hamilton | Artist]* amerikansk musiker basist i *[aerosmith | MusicalGRP]* . - *Portuguese:* também é utilizado para se fazer *[licor | Drink]* e *[vinhos | Drink]*. - *Hindi:* १७९६ में उन्हें *[शाही स्वीडिश विज्ञान अकादमी | Facility]* का सदस्य चुना गया। - *French:* l *[amiral de coligny | Politician]* réussit à s y glisser . - *German:* in *[frühgeborenes | Disease]* führt dies zu *[irds | Symptom]* . - *Bangla [লিটল মিক্স | MusicalGrp]* এ যোগদানের আগে তিনি *[পিৎজা হাট | ORG]* এ ওয়েট্রেস হিসাবে কাজ করেছিলেন। - *Italian*: è conservato nel [rijksmuseum | Facility] di [amsterdam | HumanSettlement] . - *Chinese:* 它的纤维穿过 [锁骨 | AnatomicalStructure] 并沿颈部侧面倾斜向上和内侧. - *Farsi: *مرکزاین استان شهر [ناگویا |HumanSettlement] است Additionally, a *multilingual NER track* is also offered for multilingual systems that can process all languages. The task focuses on detecting semantically ambiguous and complex entities in short and low-context settings. Participants are welcome to build NER systems for any number of languages. And we encourage to aim for a bigger challenge of building NER systems for multiple languages. We have released training data for 12 languages along with a baseline system to start with. Participants can submit their system for one language but are encouraged to aim for a bigger challenge and build multi-lingual NER systems. *Task Website:* https://multiconer.github.io/ *Mailing List:* multiconer-semeval(a)googlegroups.com *Slack Workspace:* https://join.slack.com/t/multiconer /shared_invite/zt-vi3g97cx-MpqTvS07XX22S78nRC2s0Q *Training Data:* https://multiconer.github.io/dataset *Baseline System:* https://multiconer.github.io/baseline *Shared task schedule:* - Evaluation start: mid-January, 2022 - Evaluation end: by January 31, 2023 (latest date; task organizers may choose an earlier date) - System description paper submissions due: February 1, 2023 - Notification to authors: March 1, 2023 *Task organizers* - Shervin Malmasi (Amazon) - Besnik Fetahu (Amazon) - Sudipta Kar (Amazon) Please reach out to the organizers at multiconer -semeval-organizers(a)googlegroups.com, or join the Slack workspace to connect with the other participants and organizers.

1 0

One-year research scholarships
by Valeria Franceschi 16 Nov '22

16 Nov '22

Applications are invited for a 1-year research scholarship in English Linguistics at the Department of Foreign Languages and Literatures, University of Verona, within the project “Interconnected Nord-Est Innovation Ecosystem (iNEST)”, financed by NextGenerationEU in the context of the National Recovery and Resilience Plan (NPRR). The project entails the compilation and analysis of a corpus of English-language texts promoting and describing prominent urban and extra-urban destinations in the Veneto region of Italy as well as the creation of a set of guidelines for tourism promotion. Experience in corpus linguistics, tourism discourse and discourse analysis, among others, are requested from applicants. The closing date for applications is 30th November. For more information about the research project, requirements and application process, you can find the complete call at this link: https://www.univr.it/it/concorsi/assegnisti-di-ricerca/assegni-di-ricerca/0… Best wishes, ---------------------------------------- Valeria Franceschi Temporary Assistant Professor - English Language and Translation (L-LIN/12) Department of Foreign Languages and Literatures University of Verona

1 0

Universal Dependencies, release 2.11
by Dan Zeman 15 Nov '22

15 Nov '22

We are very happy to announce the seventeenth release of annotated treebanks in Universal Dependencies, v2.11, 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 *243* treebanks in v2.11 are annotated according to version 2 of the UD guidelines and represent the following *138 languages:* Abaza, Afrikaans, Akkadian, Akuntsu, Albanian, Amharic, Ancient Greek, Ancient Hebrew, Apurina, Arabic, Armenian, Assyrian, Bambara, Basque, Beja, Belarusian, Bengali, Bhojpuri, Breton, Bulgarian, Buryat, Cantonese, Catalan, Cebuano, Chinese, Chukchi, Classical Chinese, Coptic, Croatian, Czech, Danish, Dutch, English, Erzya, Estonian, Faroese, Finnish, French, Frisian Dutch, Galician, German, Gheg, Gothic, Greek, Guajajara, Guarani, Hebrew, Hindi, Hindi English, Hittite, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kaapor, Kangri, Karelian, Karo, Kazakh, Khunsari, Kiche, Komi Permyak, Komi Zyrian, Korean, Kurmanji, Latin, Latvian, Ligurian, Lithuanian, Livvi, Low Saxon, Madi, Makurap, Malayalam, Maltese, Manx, Marathi, Mbya Guarani, Moksha, Munduruku, Naija, Nayini, Neapolitan, Nheengatu, North Sami, Norwegian, Old Church Slavonic, Old East Slavic, Old French, 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, Vietnamese, Warlpiri, Welsh, Western Armenian, Western Sierra Puebla Nahuatl, Wolof, Xavante, Xibe, Yakut, Yoruba, Yupik and Zaar. The 138 languages belong to *29 families:* Afro-Asiatic, Arawakan, Arawan, Austro-Asiatic, Austronesian, Basque, Chukotko-Kamchatkan, Code switching, Creole, Dravidian, Eskimo-Aleut, Indo-European, Japanese, 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 2023. The size of the following 28 treebanks changed significantly since the last release: Abaza ATB : 0 → 652 Akuntsu TuDeT : 1074 → 1324 Apurina UFPA : 776 → 865 Chinese PatentChar : 0 → 2160 Erzya JR : 17412 → 20541 Estonian EWT : 78331 → 90694 French ParisStories : 30004 → 42865 Gheg GPS : 0 → 15990 Icelandic GC : 0 → 99611 Icelandic Modern : 158150 → 80395 Irish Cadhan : 0 → 3804 Italian ParlaMint : 0 → 20460 Low Saxon LSDC : 2547 → 2935 Makurap TuDeT : 146 → 178 Malayalam UFAL : 0 → 202 Nheengatu CompLin : 0 → 2146 Old East Slavic RNC : 35606 → 48647 Old East Slavic Ruthenian : 0 → 3069 Portuguese CINTIL : 0 → 475860 Portuguese PetroGold : 0 → 250605 Sinhala STB : 0 → 880 Tatar NMCTT : 1458 → 2280 Teko TuDeT : 242 → 1375 Umbrian IKUVINA : 602 → 786 Western Sierra Puebla Nahuatl ITML: 0 → 10120 Xavante XDT : 0 → 120 Yakut YKTDT : 496 → 1403 Zaar Autogramm : 0 → 7625 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, Chiara Alzetta, Erik Andersen, Lene Antonsen, 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, 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, Juan Belieni, Kepa Bengoetxea, Yifat Ben Moshe, Gözde Berk, Yevgeni Berzak, Irshad Ahmad Bhat, 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, Kristina Brokaitė, Aljoscha Burchardt, Marie Candito, Bernard Caron, Gauthier Caron, Lauren Cassidy, Maria Clara 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, Daniela Corbetta, Marine Courtin, Mihaela Cristescu, 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, Timothy Dozat, Kira Droganova, Puneet Dwivedi, Christian Ebert, Hanne Eckhoff, Sandra Eiche, Marhaba Eli, Ali Elkahky, Binyam Ephrem, Olga Erina, Tomaž Erjavec, Aline Etienne, Wograine Evelyn, Sidney Facundes, Richárd Farkas, Federica Favero, Jannatul Ferdaousi, Marília Fernanda, Hector Fernandez Alcalde, Jennifer Foster, Cláudia Freitas, Kazunori Fujita, Katarína Gajdošová, Daniel Galbraith, Federica Gamba, Marcos Garcia, Moa Gärdenfors, Sebastian Garza, Fabrício Ferraz Gerardi, Kim Gerdes, 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, 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, Marivel Huerta Mendez, Jena Hwang, Takumi Ikeda, Anton Karl Ingason, Radu Ion, Elena Irimia, Ọlájídé Ishola, Artan Islamaj, Kaoru Ito, Siratun Jannat, Tomáš Jelínek, Apoorva Jha, Katharine Jiang, Anders Johannsen, Hildur Jónsdóttir, Fredrik Jørgensen, Markus Juutinen, Hüner Kaşıkara, Andre Kaasen, Nadezhda Kabaeva, Sylvain Kahane, Hiroshi Kanayama, Jenna Kanerva, Neslihan Kara, Ritván Karahóǧa, Boris Katz, Tolga Kayadelen, Sarveswaran Kengatharaiyer, Jessica Kenney, Václava Kettnerová, Jesse Kirchner, Elena Klementieva, Elena Klyachko, 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, Veronika Laippala, Lucia Lam, Lorenzo Lambertino, Tatiana Lando, Septina Dian Larasati, Alexei Lavrentiev, John Lee, Phương Lê Hồng, Alessandro Lenci, Saran Lertpradit, Herman Leung, Maria Levina, Cheuk Ying Li, Josie Li, Keying Li, Yixuan Li, Yuan Li, KyungTae Lim, Bruna Lima Padovani, Krister Lindén, Nikola Ljubešić, Olga Loginova, 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, Jan Mašek, Hiroshi Matsuda, Yuji Matsumoto, Alessandro Mazzei, Ryan McDonald, Sarah McGuinness, Gustavo Mendonça, Tatiana Merzhevich, Niko Miekka, Karina Mischenkova, Margarita Misirpashayeva, Anna Missilä, Cătălin Mititelu, Maria Mitrofan, Yusuke Miyao, AmirHossein Mojiri Foroushani, Judit Molnár, Amirsaeid Moloodi, Simonetta Montemagni, Amir More, Laura Moreno Romero, Giovanni Moretti, Keiko Sophie Mori, 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, 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, Betül Özateş, Merve Özçelik, Arzucan Özgür, Balkız Öztürk Başaran, Teresa Paccosi, Alessio Palmero Aprosio, Anastasia Panova, Hyunji Hayley Park, Niko Partanen, Elena Pascual, Marco Passarotti, Agnieszka Patejuk, Guilherme Paulino-Passos, Giulia Pedonese, Angelika Peljak-Łapińska, Siyao Peng, Cenel-Augusto Perez, Natalia Perkova, Guy Perrier, Slav Petrov, Daria Petrova, Andrea Peverelli, Jason Phelan, Jussi Piitulainen, 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, Andriela Rääbis, Alexandre Rademaker, Mizanur Rahoman, Taraka Rama, Loganathan Ramasamy, Carlos Ramisch, Fam Rashel, Mohammad Sadegh Rasooli, Vinit Ravishankar, Livy Real, Petru Rebeja, Siva Reddy, Mathilde Regnault, Georg Rehm, 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, Benoît Sagot, Aleksi Sahala, Shadi Saleh, Alessio Salomoni, Tanja Samardžić, Stephanie Samson, Manuela Sanguinetti, Ezgi Sanıyar, Dage Särg, Marta Sartor, Mitsuya Sasaki, Baiba Saulīte, Yanin Sawanakunanon, Shefali Saxena, Kevin Scannell, Salvatore Scarlata, 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 Ricardo Silva, Aline Silveira, Natalia Silveira, Maria Simi, Radu Simionescu, Katalin Simkó, Mária Šimková, Haukur Barri Símonarson, Kiril Simov, Dmitri Sitchinava, Maria Skachedubova, Aaron Smith, Isabela Soares-Bastos, Barbara Sonnenhauser, Shafi Sourov, Carolyn Spadine, 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, Yuta Takahashi, 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, 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, Jing Xian Wang, 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, 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, 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.

1 0

November 2022 Newsletter - LDC
by Penn LDC 15 Nov '22

15 Nov '22

In this newsletter: Join LDC for membership year 2023 Fall 2022 data scholarship recipients Spring 2023 data scholarship application deadline 30th Anniversary Highlight: CALLFRIEND New publications: BOLT English Translation Treebank - Egyptian Arabic SMS/Chat<https://catalog.ldc.upenn.edu/LDC2022T06> Samrómur Children Icelandic Speech 1.0<https://catalog.ldc.upenn.edu/LDC2022S11> Third DIHARD Challenge Development<https://catalog.ldc.upenn.edu/LDC2022S12> ________________________________ Join LDC for membership year 2023 It's time to renew your LDC membership for 2023. Current (2022) members who renew their membership before March 1, 2023 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 900+ holdings at reduced fees. Current-year for-profit members may use most data for commercial applications. Plans for 2023 publications are in progress. Among the expected releases are: * AIDA Ukrainian Broadcast and Telephone Speech Audio and Transcripts: 156 hours of Ukrainian conversational telephone speech and broadcast news with 1.2 million words of corresponding orthographic transcripts * 2019 NIST SRE: audiovisual and leaderboard challenge sets based on amateur videos and Tunisian Arabic telephone speech, respectively * DEFT English ERE: English text from assorted genres annotated for entities, relations and events * Mixer 3 and Mixer 7 speech collections: thousands of hours of telephone speech and metadata from Mixer 3 (multiple languages) and Mixer 7 (Spanish, plus interviews and transcript readings) * CALLFRIEND Russian: 100 telephone conversations among native speakers, transcripts and a lexicon, released in separate speech and text data sets * REMIX Telephone Collection: English telephone speech from 385 participants in previous Mixer studies * LORELEI: representative and incident language packs containing monolingual text, bi-text, translations, annotations, supplemental resources and related tools in various languages (e.g., Indonesian, Swahili, Tagalog, Tamil, Zulu) 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. Fall 2022 LDC data scholarship recipients LDC congratulates the following Fall 2022 data scholarship recipients: * Nelson Filipe Costa: Concordia University (Canada); PhD, Machine Learning. Nelson is awarded a copy of Penn Discourse Treebank Version 3.0 (LDC2019T05<https://catalog.ldc.upenn.edu/LDC2019T05>) for his work in discourse relationships and mapping. * Paul Pope: University of Eastern Finland (Finland); MA, Linguistic Data Sciences. Paul is awarded a copy of ETS Corpus of Non-Native Written English (LDC2014T06<https://catalog.ldc.upenn.edu/LDC2014T06>) for his research on text classification. * Abhinav Singh: Sharda University (India); PhD, Forensic Science. Abhinav is awarded a copy of TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1<https://catalog.ldc.upenn.edu/LDC93S1>) for his research on forensic speech recognition. * Lucas Zheng: Deerfield Academy (USA); High School Scholar. Lucas is awarded copies of Arabic Treebank Part 1 v. 4.1 (LDC2010T13<https://catalog.ldc.upenn.edu/LDC2010T13>) and Arabic Treebank Part 2 v. 3.1 (LDC2011T09<https://catalog.ldc.upenn.edu/LDC2011T09>) for his work on analyzing syntactic and lexical similarities across MSA genres and POS-tagging for MSA. Students can learn more about the LDC data scholarship program on the Data Scholarships page.<https://www.ldc.upenn.edu/language-resources/data/data-scholarships> Spring 2023 data scholarship application deadline Applications are now being accepted through January 15, 2023 for the Spring 2023 LDC data scholarship program which provides university students with no-cost access to LDC data. Consult the LDC Data Scholarship<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>s page for more information about program rules and submission requirements. 30th Anniversary Highlight: CALLFRIEND The CALLFRIEND series is a multi-language collection of unscripted telephone conversations conducted by LDC in the 1990s to support language identification technology development (Liberman & Cieri, 1998<https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/lrec1998-creation-d…>). Covered languages are American English, Canadian French, Egyptian Arabic, Farsi, German, Hindi, Japanese, Korean, Mandarin Chinese, Spanish, Tamil and Vietnamese. For English, Mandarin and Spanish, the collection includes two distinct dialects. Participants could speak with a person of their choice on any topic; most called family members and friends. All calls originated in North America. This speech data was the foundation for NIST's Language Recognition Evaluations<https://www.nist.gov/itl/iad/mig/language-recognition> conducted from 1996-2007. The first editions of the CALLFRIEND series published in LDC's Catalog in 1996 contain 60 calls evenly split into 20 calls each for a training partition to develop language models, a development partition for parameter tuning, and an evaluation partition to test performance (Torres-Carrasquillo, et al., 2004<https://www.isca-speech.org/archive_open/archive_papers/odyssey_04/ody4_297…>). Beginning in 2014, LDC released second editions for American English (LDC2019S21<https://catalog.ldc.upenn.edu/LDC2019S21>, LDC2020S08<https://catalog.ldc.upenn.edu/LDC2020S08>), Canadian French (LDC2019S18<https://catalog.ldc.upenn.edu/LDC2019S18>), Egyptian Arabic (LDC2019S04<https://catalog.ldc.upenn.edu/LDC2019S04>), Farsi (LDC2014S01<https://catalog.ldc.upenn.edu/LDC2014S01>), and Mandarin Chinese (LDC2018S09<https://catalog.ldc.upenn.edu/LDC2018S09>, LDC2020S06<https://catalog.ldc.upenn.edu/LDC2020S06>). The goal of the second editions is to facilitate continued widespread use of the data, specifically, by updating the audio files to .wav format, simplifying the directory structure, adding documentation and metadata, and combining the training, development and evaluation splits. CALLFRIEND Farsi Second Edition also includes additional telephone recordings and a separate transcripts release (LDC2014T01<https://catalog.ldc.upenn.edu/LDC2014T01>). In addition to work on language identification, CALLFRIEND corpora have been used in a variety of research tasks, including subject omission in Korean (Lee 2012<https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10893918>), contemporary Persian vowels in casual speech (Jones 2019<https://repository.upenn.edu/pwpl/vol25/iss1/15/>), Mandarin telephone closings among familiars (Huang, 2020<https://www.jbe-platform.com/content/journals/10.1075/ap.19017.hua>), and adjective constructions in English conversation (Bybee & Thompson, 2021<https://www.mdpi.com/2226-471X/7/1/2/htm>), among many others. To learn more about the CALLFRIEND collection or about other LDC corpora used for language identification research, search the Catalog<https://catalog.ldc.upenn.edu/search> by the "recommended application" and select "language identification" from the list. ________________________________ New publications: BOLT English Translation Treebank - Egyptian Arabic SMS/Chat<https://catalog.ldc.upenn.edu/LDC2022T06> was developed by LDC and consists of SMS and chat text data (472 files representing 98,206 tokens) translated from Egyptian Arabic to English and annotated for part-of-speech and syntactic structure. Only the translated English text is included in the source data for this release. Part-of-speech and treebank annotation conformed to Penn Treebank II style, incorporating changes to those guidelines that were developed under the GALE (Global Autonomous Language Exploitation) program. Supplementary guidelines for English treebanks and web text are included in the corpus documentation. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * Samrómur Children Icelandic Speech 1.0<https://catalog.ldc.upenn.edu/LDC2022S11> was developed by the Language and Voice Lab, Reykjavik University<https://lvl.ru.is/> in cooperation with Almannarómur, Center for Language Technology<https://almannaromur.is/>. The corpus contains 131 hours of Icelandic prompted speech from 3,175 speakers (children, aged 4-17 years) representing 137,597 utterances. Speech data was collected between October 2019 and September 2021 using the Samrómur website<https://samromur.is> which displayed prompts to participants. The prompts were mainly from The Icelandic Gigaword Corpus<http://clarin.is/en/resources/gigaword>, which includes text from novels, news, plays, and from a list of location names in Iceland. Additional prompts were taken from the Icelandic Web of Science<https://www.visindavefur.is/> and others were created by combining a name followed by a question or a demand. Prompts and speaker metadata are included in the corpus 2022 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. Non-members may license this data for a fee. * Third DIHARD Challenge Development<https://catalog.ldc.upenn.edu/LDC2022S12> was developed by LDC and contains approximately 34 hours of English and Chinese speech data along with corresponding annotations used in support of the Third DIHARD Challenge<https://dihardchallenge.github.io/dihard3>. The DIHARD third development and evaluation sets were drawn from diverse sources including monologues, map task dialogues, broadcast interviews, sociolinguistic interviews, meeting speech, speech in restaurants, clinical recordings, and amateur web videos. Annotations include diarization and segmentation. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options; or contact LDC for assistance.

1 0

2025

2024

2023

2022

Corpora