Project Details
Description
Automated translation is about to get on to the next level, nearing human quality and exceeding human speed, while being fast and omnipresent in mobile platforms. Meanwhile there is the burgeoning prospect of augmenting ourselves with technology to enhance our brains , or „cognitive selves“. These developments will surely have a massive effect on how people speaking different languages interact. That in turn will drive an existential shift in our approach to ‘language rights’. This COST action brings together NLP researchers, sociologists, linguists and policy to find risks and opportunities of this important human:machine interface.
Our interests here are:
(1) the impact on Nordic minority languages (essentially all of them, but especially Danish, Faroese and the Greenlandics. DK has the lowest # of NLP people per capita in the Nordic region, and the ones looking at Danish languages are mostly at ITU.
(2) our NLP group‘s existing research thread of low-resource language processing.
Our interests here are:
(1) the impact on Nordic minority languages (essentially all of them, but especially Danish, Faroese and the Greenlandics. DK has the lowest # of NLP people per capita in the Nordic region, and the ones looking at Danish languages are mostly at ITU.
(2) our NLP group‘s existing research thread of low-resource language processing.
Acronym | LITHME |
---|---|
Status | Finished |
Effective start/end date | 01/04/2020 → 31/03/2024 |
Collaborative partners
- IT University of Copenhagen
- University of Jyväskylä
- Charles University
- Stockholm University
- University of Tartu
- Unbabel Portugal
- Computer Science Laboratory for Mechanics and Engineering Sciences
- University of Limerick
- University of Ljubljana
- Technische Hochschule Köln
- University of Groningen
- University of Helsinki
- German Research Institute for Public Administration
- Ontotext Bulgaria
- University of Białystok
- Imperial College London (lead)
Funding
- European Commission: DKK1.00
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