{"id":6244,"date":"2024-03-13T15:41:52","date_gmt":"2024-03-13T14:41:52","guid":{"rendered":"https:\/\/www.uni.lu\/fhse-en\/blog\/research-projects\/travolta-tracing-attitudes-and-variation-in-online-luxembourgish-text-archives\/"},"modified":"2025-02-07T14:55:15","modified_gmt":"2025-02-07T13:55:15","slug":"travolta-tracing-attitudes-and-variation-in-online-luxembourgish-text-archives","status":"publish","type":"research-projects","link":"https:\/\/www.uni.lu\/fhse-en\/research-projects\/travolta-tracing-attitudes-and-variation-in-online-luxembourgish-text-archives\/","title":{"rendered":"TRAVOLTA – Tracing Attitudes And Variation In Online Luxembourgish Text Archives"},"content":{"rendered":"\n
<\/div>\n\n\n\n
\n

\nAbout<\/h2>\n\n\n\n

In recent years, Luxembourgish has been in the focus of public attention. Its role as the national language of Luxembourg and important means of integration has been widely discussed in the context of a highly multilingual society. On top of that, it has recently developed into a fully fledged written language, largely driven by the rise of social media. However, there is still hardly any research that tackles the societal upswing of Luxembourgish and documents the emergence of a new written language in the digital age. The TRAVOLTA project closes this gap by taking a close look at online text archives of written Luxembourgish from RTL.lu (news items, user comments). One the one hand, it analyses the development of a shared writing practice in digital media as an example for how a new standard language emerges. On the other hand, it monitors the development of public discourse by investigating writers’ attitudes toward pertinent topics such as multilingualism and the COVID-19 pandemic. In doing so, the project also advances the development of computational tools for Luxembourgish as a lesser-resourced language. It provides new solutions for processing text data, that is, automatic spelling correction, variant classification and the extraction of social meaning from text. These tools will be beneficial beyond the scope of the project, for example, in the context of machine translation and human-machine-interaction.<\/p>\n<\/div><\/section>\n\n\n\n\n

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\n Project team <\/h2>\n
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  • \n
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    Christoph Purschke<\/h3>

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    Peter Gilles<\/h3>

    <\/p>

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    Alistair PLUM<\/h3>

    <\/p>

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    Anne-Marie LUTGEN<\/h3>

    <\/p>

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  • \n
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    Emilia MILANO<\/h3>

    <\/p>

    \n \n \n View profile<\/span> <\/span>\n \n \n <\/svg>\n <\/a>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/li>\n \n
  • \n
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    Barbara Plank<\/h3>

    Ludwig-Maximilians-Universit\u00e4t, M\u00fcnchen<\/p> <\/div>\n <\/div>\n <\/div>\n <\/li>\n

  • \n
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    Dirk Hovy<\/h3>

    Bocconi University, Milano<\/p> <\/div>\n <\/div>\n <\/div>\n <\/li>\n

  • \n
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    Stefan Grondelaers<\/h3>

    Meertens Instituut Amsterdam<\/p> <\/div>\n <\/div>\n <\/div>\n <\/li>\n

  • \n
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    Tom Weber<\/h3>

    RTL Luxembourg<\/p> <\/div>\n <\/div>\n <\/div>\n <\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n

    \n \n
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    \n Keywords <\/h2>\n
      \n
    • \n Luxembourgish<\/span>\n <\/li>\n
    • \n computational sociolinguistics<\/span>\n <\/li>\n
    • \n natural language processing<\/span>\n <\/li>\n
    • \n under-researched languages<\/span>\n <\/li>\n
    • \n discourse analysis<\/span>\n <\/li>\n
    • \n variation & standardisation<\/span>\n <\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

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