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Description
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The first edition of the ELRC White Paper was published in 2019 and titled “Sustainable Language Data Sharing to Support Language Equality in Multilingual Europe – Why language data matters”. Together with the ELRC National Anchor Points from all EU Member States, Iceland and Norway, European practices for sharing language data as well as the related challenges were investigated and recommendations on how to address these challenges in the future were prepared. In addition, the first White Paper edition provided a country profile for each of the CEFaffiliated countries, which focuses on the following topics: • National translation practices and information exchange in ministries and public administrations • Translation needs of the country • Language data creation and sharing infrastructure • National open data policies • Key stakeholders • Main challenges for sustainable data sharing • Required actions to overcome the identified challenges While the initial scope of the White Paper was to report on the practices, challenges and recommendations for sustainable language data sharing within public services, this new publication provides an extended analysis, which also addresses European SMEs and which gives insights into the use of additional AI-based language tools, such as anonymisation or named entity recognition. Besides that, the White Paper at hand includes an analysis of the role of LT and language data in all EU member states, Iceland and Norway and critically discusses if the value of LT and language data has been recognised or if further awareness-raising actions are required. The updated country profiles – in addition to their original contents – also provide some insights into: • The role of LT and language data in each country’s AI policies • Major AI networks, projects and players in the particular country • Data collection efforts and repositories in the country In consequence, the new title of the white paper is shorter but broader at the same time: “AI for Multilingual Europe – Why Language Data Matters”. ELRC’s vision has always been to contribute to a true digital single market where all EU citizens can access information independently of the language they speak. That is also one of the main reasons for collecting language data: language data is the fuel for the development of all the LTs which are increasingly used in our daily lives, thus helping overcome language borders. Such LTs go far beyond automated translation solutions such as eTranslation as evident from the ongoing extension of the EC’s Language Tools2. Thanks to recent advances, AI can help us address societal challenges related to the environment, health or crisis response, for example. In addition, it allows us to communicate across borders with the help of Machine Translation, to dictate text messages on our mobile phones, using speech recognition and to verify information sources through fake news detectors – to only name a few. It is safe to say that the possibilities are endless and that society has become more open towards exploring them. (2023-07-14)
***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. *** (2025-09-01)
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