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The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies.
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Sayers, Dave; Sousa-Silva, Rui; Höhn, Sviatlana; Ahmedi, Lule; Allkivi-Metsoja, Kais; Anastasiou, Dimitra; Beňuš, Štefan; Bowker, Lynne; Bytyçi, Eliot; Catala, Alejandro; Çepani, Anila; Chacón-Beltrán, Rubén; Dadi, Sami; Dalipi, Fisnik; Despotovic, Vladimir; Doczekalska, Agnieszka; Drude, Sebastian; Fort, Karën; Fuchs, Robert; Galinski, Christian; Gobbo, Federico; Gungor, Tunga; Guo, Siwen; Höckner, Klaus; Láncos, PetraLea; Libal, Tomer; Jantunen, Tommi; Jones, Dewi; Klimova, Blanka; Korkmaz, EminErkan; Maučec Mirjam, Sepesy; Melo, Miguel; Meunier, Fanny; Migge, Bettina; Mititelu Verginica, Barbu; Névéol, Aurélie; Rossi, Arianna; Pareja-Lora, Antonio; Sanchez-Stockhammer, Christina; Şahin, Aysel; Soltan, Angela; Soria, Claudia; Shaikh, Sarang; Turchi, Marco; Yildirim Yayilgan, Sule
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In: https://hal.archives-ouvertes.fr/hal-03230287 ; 2021 (2021)
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Abstract:
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) 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.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; and members from each working group have contributed to the report.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
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URL: https://hal.archives-ouvertes.fr/hal-03230287
https://hal.archives-ouvertes.fr/hal-03230287/document
https://hal.archives-ouvertes.fr/hal-03230287/file/The%20Forecast%20report%202021%20%28May%2019%2008.28%29.pdf
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Promoting Linguistic Diversity and Inclusion: Incorporating Machine Translation Literacy into Information Literacy Instruction for Undergraduate Students
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In: The International Journal of Information, Diversity, & Inclusion (IJIDI); Vol 5 No 3 (2021) ; 2574-3430 (2021)
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Machine translation use outside the language industries: a comparison of five delivery formats for machine translation literacy instruction
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The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies
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Promoting Linguistic Diversity and Inclusion: Incorporating Machine Translation Literacy into Information Literacy Instruction for Undergraduate Students
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