SIGUL May 2021

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3 discussions

'The Dawn of the Human-Machine Era': Forecast report on new and emerging language technologies
by Claudia Soria 20 May '21

20 May '21

The 'human-machine era' is coming soon: a time when technology is integrated with our senses, not confined to mobile devices. The hardware will move from our hands into our eyes and ears. Intelligent eyewear and earwear will be able to translate another person's words, and make it look and sound like they were talking to you in your language. Technology will mediate what we see, hear and say, in real time. In addition, we will be having increasingly complex conversations with smart devices. This is not science fiction or marketing hype. These devices are currently in prototype, set for widespread consumer adoption in the coming years. All this will disrupt and transform our use and understanding of language use. Are we ready? A new EU 'COST Action' (https://cost.eu <https://cost.eu/>) research network 'Language in the Human-Machine Era' (LITHME), with members from 52 countries, explores how such technological advances are likely to change our everyday communication, and ultimately language itself. As a first major collaborative effort, LITHME has published an open access report 'The Dawn of the Human-Machine Era: A Forecast of New and Emerging Language Technologies': https://doi.org/10.17011/jyx/reports/20210518/1 <https://doi.org/10.17011/jyx/reports/20210518/1>. Accessible to a wide audience, the report brings together insights from specialists in the fields of language technology and linguistic research. The forecast report was authored by 52 researchers, and edited by LITHME's Chair Dave Sayers (University of Jyväskylä, Finland), Vice-Chair Sviatlana Höhn (University of Luxembourg), and the Chair of LITHME's Computational Linguistics working group Rui Sousa Silva (University of Porto, Portugal). It describes the current state and probable futures of various language technologies – for written, spoken, haptic and signed modalities of language. The publication is intended to be both authoritative and accessible, aimed at language and technology professionals but also policymakers and the wider public. It describes how a range of new technologies will soon transform the way we use language, while discussing the software powering these advances behind the scenes, as well as consumer devices like Augmented Reality eyepieces and immersive Virtual Reality spaces. The report also shines a light on critical issues such as inequality of access to technologies, privacy and security, and new forms of deception and crime. It is a result of unique collaboration, as LITHME brings together people from different directions in language research who would not otherwise meet or collaborate. LITHME has eight thematic working groups <https://lithme.eu/working-groups/>; and members from each working group have contributed to the report. Please share this message with anyone who may be interested, and please retweet us here: https://twitter.com/LgHumanMachine/status/1394716982587662339 <https://twitter.com/LgHumanMachine/status/1394716982587662339>. LITHME is a 4-year networking project, funded by the European Cooperation in Science and Technology (COST). It started in October 2020 and currently has members from all 27 EU states plus 25 other countries from every continent. The network seeks to bridge the gap between linguists and technology experts, so the former can benefit from better technological foresight, and the latter from better understanding of potential linguistic and societal consequences of emerging technologies. Find out more about LITHME's activities: https://lithme.eu <https://lithme.eu/>. And follow us on Twitter: https://twitter.com/LgHumanMachine <https://twitter.com/LgHumanMachine> All the best, Claudia Soria

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Cardamom Seminar Series - Rolando Coto-Solano on Linguistically-informed Deep Learning [31st May, 17:00 GMT+1]
by Claudia Soria 20 May '21

20 May '21

FYI *Seminar on Linguistically-informed Deep Learning for Extremely Low-Resource Languages* Monday 31 May at 17:00 (GMT+1) https://www.eventbrite.com/e/cardamom-seminar-series-tickets-151488998673 > Inizio messaggio inoltrato: > > Da: John McCrae <john.mccrae(a)insight-centre.org> > Oggetto: [elexis-all] Cardamom Seminar Series - Rolando Coto-Solano on Linguistically-informed Deep Learning [31st May, 17:00 GMT+1] > Data: 19 maggio 2021 11:30:36 CEST > A: undisclosed-recipients: ; > > Hi all, > > The Unit for Linguistic Data at Data Science Institute, National University of Ireland Galway is delighted to welcome Rolando Coto-Solano, a professor of Linguistics at Dartmouth College as the speaker of our second talk in our seminar series, in which he will talk about linguistically informed representations to improve deep learning for extremely low-resource languages especially focusing on Chibchan Languages. > > The aim of the seminar series is to connect the researchers working to alleviate the language resources and technologies for minority, historical, indigenous and less resource languages across the globe. The seminar series will provide us with a platform to discuss various types of problems and share our views to solve those problems that the researchers face during their research. > > The seminar will take place at 17:00PM (Irish Time) on Monday 31st May. All are welcome to attend by registering at: > > https://www.eventbrite.com/e/cardamom-seminar-series-tickets-151488998673 > > This seminar series is support by the IRC-funded Cardamom project. > > Regards, > > John > > -- > You received this message because you are subscribed to the Google Groups "ELEXIS-all" group. > To unsubscribe from this group and stop receiving emails from it, send an email to elexis-all+unsubscribe(a)googlegroups.com. > To view this discussion on the web, visit https://groups.google.com/d/msgid/elexis-all/115c56e2-577b-43e5-3d07-015a46….

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Fwd: [Corpora-List] CFP: Special Issue on on Computer Speech and Language Journal- Dravidian Languages
by Claudia Soria 06 May '21

06 May '21

FYI > Inizio messaggio inoltrato: > > Da: Bharathi Raja Asoka Chakravarthi <bharathi.raja(a)insight-centre.org> > Oggetto: [Corpora-List] CFP: Special Issue on on Computer Speech and Language Journal- Dravidian Languages > Data: 6 maggio 2021 08:24:46 CEST > A: corpora(a)uib.no > > > Apologies for cross posting > > Special Issue on Speech and Language Technologies for Dravidian Languages > > Computer Speech and Language > An official publication of the International Speech Communication Association (ISCA) > > link: https://www.journals.elsevier.com/computer-speech-and-language/call-for-pap… <https://www.journals.elsevier.com/computer-speech-and-language/call-for-pap…> > Guest Editors > > Bharathi Raja Chakravarthi, National University of Ireland Galway > (bharathi.raja(a)insight-centre.org <mailto:bharathi.raja@insight-centre.org>) > Anand Kumar M, National Institute of Technology Karnataka > Surathkal (m_anandkumar(a)nitk.edu.in <mailto:m_anandkumar@nitk.edu.in>) > Thenmozhi D, SSN College of Engineering, Tamil Nadu, (theni_d(a)ssn.edu.in <mailto:theni_d@ssn.edu.in>) > Dhivya Chinnapa, Thomson Reuters, USA > (dhivya.chinnappa(a)thomsonreuters.com <mailto:dhivya.chinnappa@thomsonreuters.com>) > Sajeetha Thavareesan, Eastern University, Sri Lanka (sajeethas(a)esn.ac.lk <mailto:sajeethas@esn.ac.lk>) > The development of technology increases our internet use, and most of the world's languages have adapted themselves to the digital era. However, many regional, under-resourced languages face challenges as they still lack developments in language technology. One such language family is the Dravidian family of languages (40+ languages). Dravidian languages are primarily spoken in south India and Sri Lanka, while pockets of speakers are found in Nepal, Pakistan, and elsewhere in South Asia. Although the Dravidian languages are 4,500 years old and are currently spoken by hundreds of millions of native speakers, their natural language processing resources and tools are limited. The Dravidian languages are divided into four groups: South, South-Central, Central, and North groups. Dravidian morphology is agglutinating and exclusively suffixal. Syntactically, Dravidian languages are head-final and left-branching. They are free-constituent order languages. In order to improve access to and production of information for monolingual speakers of Dravidian languages, it is necessary to promote the research in speech and language technologies. We particularly encourage computational approaches that address either practical application or improving resources for a given language in the field. > > NLP research in Dravidian languages is still in the initial stage compared to other high-resourced languages. This special issue is dedicated to reporting the recent development and providing an overview of the state-of-the-art speech and language technologies research in Dravidian languages. Moreover, it identifies the existing tools, resources, evaluates recent methodologies and ongoing activities. > > The broader objective of the special issue will be > > To investigate challenges related to speech and language resource creation for machine learning and deep learning for Dravidian languages. > To promote research in speech and language technology in Dravidian languages. > To adopt appropriate language technology models that suit Dravidian languages. > Our special issues welcome original/ novel work in the theoretical and empirical investigation on any Dravidian languages (Tamil, Kannada, Malayalam, Telugu, Tulu, Allar, Aranadan, Attapadya Kurumba, Badaga, Beary, Betta Kurumba, Bharia, Bishavan, Brahui, Chenchu, Duruwa, Eravallan, Gondi, Holiya, Irula, Jeseri, Kadar, Kaikadi, Kalanadi, Kanikkaran, Khiwar, Kodava, Kolami, Konda, Koraga, Kota, Koya, Kurambhag Paharia, Kui, Kumbaran, Kunduvadi, Kurichiya, Kurukh, Kurumba, Kuvi, Madiya, Mala Malasar, Malankuravan, Malapandaram, Malasar, Malto, Manda, Muduga, Mullu Kurumba, Muria, Muthuvan, Naiki, Ollari, Paliyan, Paniya, Pardhan, Pathiya, Pattapu, Pengo, Ravula, Sholaga, Thachanadan, Toda, Wayanad Chetti, and Yerukala) that contribute to research in language processing, speech technologies or resources for the same. We will particularly encourage studies that address either practical application or improving resources for a given language in the field. > > We invite submissions on topics that include, but not limited to, the following: > > Code-mixing/Code-switching > Cognitive Modeling and Psycholinguistics > Computer-Assisted Language Learning (CALL) > Corpus Development, Tools, Analysis and Evaluation > Computational Phonology and Morphology > COVID-19 applications, NLP Applications for Emergency Situations and Crisis Management > Discourse and Pragmatics > Equality, Diversity, and Inclusion > Fake News, Spam, and Rumor Detection > Hate Speech Detection and Offensive Language Detection > Information Extraction and Information Retrieval > Knowledge Representation > Language Modelling and Embeddings > Lexicons and Machine-Readable Dictionaries > Machine Translation > Sentiment Analysis, Stylistic Analysis, and Argument Mining > Semantics: Lexical, Sentence-level Semantics, Textual Inference, Entailment and Other area > Speech Technology and Automatic Speech Recognition > Syntax: Tagging, Chunking and Parsing > Question Answering and Machine Comprehension > Text Summarization > Multimodal Analysis > NLP Applications > Paper submission deadline: 30th Nov 2021 > > The submission system will be open around one week before the first paper comes in. When submitting your manuscript please select the article type “VSI: SP:DravidianLangTech”. Please submit your manuscript before the submission deadline. > > All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles. > > Please see an example here: > https://www.sciencedirect.com/journal/computer-speech-and-language/vol/65/s… <https://www.sciencedirect.com/journal/computer-speech-and-language/vol/65/s…> > Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and the link to submit your manuscript is available on the Journal’s homepage. > > For further information and questions, please contact > > Dr. Bharathi Raja Chakravarthi, National University of Ireland Galway (bharathi.raja(a)insight-centre.org <mailto:bharathi.raja@insight-centre.org>) > > > > > > with regards, > Dr. Bharathi Raja Chakravarthi, > Adjunct Lecturer at School of Computer Science, National University of Ireland Galway > Postdoctoral Fellow at Unit for Linguistic Data, Insight SFI Research Centre for Data Analytics, Data Science Institute, National University of Ireland Galway > https://github.com/dravidian-codemix/2021/ <https://github.com/dravidian-codemix/2021/> > https://sites.google.com/view/lt-edi-2021/home <https://sites.google.com/view/lt-edi-2021/home> > https://dravidianlangtech.github.io/2021/ <https://dravidianlangtech.github.io/2021/> > https://dravidian-codemix.github.io/2020/ <https://dravidian-codemix.github.io/2020/> > E-mail: bharathiraja.akr(a)gmail.com <mailto:bharathi.raja@insight-centre.org> > Web: http://www.nuigalway.ie:83/our-research/people/engineering-and-informatics/… <http://www.nuigalway.ie:83/our-research/people/engineering-and-informatics/…> > Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en <https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en> > LinkedIn: https://www.linkedin.com/in/bharathi-raja-asoka-chakravarthi-7a520393/ <https://www.linkedin.com/in/bharathi-raja-asoka-chakravarthi-7a520393/> > > _______________________________________________ > UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora > Corpora mailing list > Corpora(a)uib.no > https://mailman.uib.no/listinfo/corpora

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SIGUL May 2021