Green NLP - controlling the carbon footprint in sustainable language technology
Bidragets beskrivning
GreenNLP addresses the problem of increasing energy consumption caused by modern solutions in natural language processing (NLP). Neural language models and machine translation require heavy computations to train and their size is constantly growing, which makes them expensive to deploy and run. In our project we will reduce the training costs and model sizes by clever optimizations of the underlying machine learning algorithms with techniques that make use of knowledge transfer and compression. Furthermore, we will focus on multilingual solutions that can serve many languages in a single model reducing the number of actively running systems. Finally, we will also openly document and freely distribute all our results to enable efficient reuse of ready-made components to further decrease the carbon footprint of modern language technology.
Visa merStartår
2023
Slutår
2025
Beviljade finansiering
Rollen i Finlands Akademis konsortium
Finansiär
Finlands Akademi
Typ av finansiering
Akademiprojekt med särskild inriktning
Övriga uppgifter
Finansieringsbeslutets nummer
353167
Vetenskapsområden
Data- och informationsvetenskap
Forskningsområden
Tietojenkäsittelytieteet
Identifierade teman
green transition, sustainable development