SOURCE-LINKED INTELLIGENCE

Towards globally accessible language technology and its alignment to cultural contexts

CORDIS · observation · Publication date unknown

Towards globally accessible language technology and its alignment to cultural contexts My research project focuses on natural language processing (NLP), an area of artificial intelligence concerned with automatic interpretation and generation of human language. NLP is well-known for its widely-used applications, such as machine translation (MT), text mining, question answering or dialogue systems. Much of this technology is now powered by large language models (LLMs), such as ChatGPT, which take a natural language instruction or question as input, and generate a fluent response. Due to their impressive performance in a range of tasks and their ease of use, in less than a year they received a wide adoption in many societal contexts (education, journalism, healthcare and others), and became the central paradigm in the field of NLP. The development of LLMs, however, requires access to a vast amount of data and resources in a given language, as well as considerable computational infrastructure. As a result, these models are in practice limited to a h

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recordType

award

status

SIGNED

region

EU

value

1998926

unit

EUR