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DIGITAL & SOCIETY
Language technologies
Natural Language Processing (NLP) is a field of artificial intelligence (AI) focused on enabling machines to understand, interpret and generate human language. It involves a range of techniques and technologies, including machine learning, statistical analysis, and linguistic rules, to help machines process and comprehend human language in a way that is useful and meaningful.
NLP has a wide range of applications, including automatic speech recognition, sentiment analysis, language translation, and chatbots. In Europe, the complex language landscape and cultural diversity require special attention to ensure that NLP applications are developed in an ethical and unbiased manner that respects linguistic and cultural diversity.
Therefore, it is essential to ensure the unbiased use of AI in language technologies to guarantee these rights. NLP has ethical implications such as accountability, transparency, fairness, visibility, and respect for European values.
The European language technology industry is crucial for Europe's strategic and technological autonomy, with European language technology providers best equipped to meet specific market needs. Public solutions such as eTranslation provide basic tools and services complementing the market offer, ensuring language technologies are available to all European public administrations and SMEs.
The European Commission supports the development and deployment of language tools, including named entity recognition, summarisation, automatic segmentation, sentiment analysis, speech transcription services, and data anonymisation solutions to ensure GDPR compliance. The European Language Grid (ELG) acts as a one-stop-shop for specialised language technology solutions, and dissemination and community building efforts have promoted cooperation between public and private forces for research and deployment.
European actions exist on various levels:
Combining all these ingredients is a major challenge for the EU, the European Language Technology Providers, and national public administrations in charge of AI and Language Technology strategies. The ultimate purpose being to support Europe’s Digital Decade for the benefit of all.
NLP has a wide range of applications, including automatic speech recognition, sentiment analysis, language translation, and chatbots. In Europe, the complex language landscape and cultural diversity require special attention to ensure that NLP applications are developed in an ethical and unbiased manner that respects linguistic and cultural diversity.
Therefore, it is essential to ensure the unbiased use of AI in language technologies to guarantee these rights. NLP has ethical implications such as accountability, transparency, fairness, visibility, and respect for European values.
The European language technology industry is crucial for Europe's strategic and technological autonomy, with European language technology providers best equipped to meet specific market needs. Public solutions such as eTranslation provide basic tools and services complementing the market offer, ensuring language technologies are available to all European public administrations and SMEs.
The European Commission supports the development and deployment of language tools, including named entity recognition, summarisation, automatic segmentation, sentiment analysis, speech transcription services, and data anonymisation solutions to ensure GDPR compliance. The European Language Grid (ELG) acts as a one-stop-shop for specialised language technology solutions, and dissemination and community building efforts have promoted cooperation between public and private forces for research and deployment.
European actions exist on various levels:
- the Horizon Europe Programme fosters research and innovation through cross-sectorial support of language technologies. Preliminary effort will be on developing workflows, algorithms and knowledge on building multimodal interactive models, including various modalities and languages.
- the Digital Europe Programme encourages European public and private sectors to deploy language technologies. The European Commission coordinates the EU effort across the Member States and private institutions, developing a European Language Technology ecosystem.
Combining all these ingredients is a major challenge for the EU, the European Language Technology Providers, and national public administrations in charge of AI and Language Technology strategies. The ultimate purpose being to support Europe’s Digital Decade for the benefit of all.
Useful Link
> Go To Digital Europe Programme Page