Projects with funding
STRIPS - A Semantic Search Toolbox for the Retrieve of SimilarPatterns in Luxembourgish Documents, University of Luxembourg,funded by University of Luxembourg. 2018-2021
The aim of STRIPS is to develop a toolbox of semantic search algorithms for Luxembourgish. We want to implement search algorithms to retrieve and to monitor, e.g., temporal patterns of named entities in Luxembourgish texts. The term ‘semantic’, hereby, does not only refer to the usage of keywords or Bag-of-Words (for example: names, geographic identifiers), but fosters also on more complex structures like, for example, on concepts (e.g., topics or themes) and a document’s sentiment (e.g., a positive or a negative polarity of the document). The main focus of STRIPS lies in the linguistic processing of texts written in Luxembourgish (particularly stemming, use of phonetic dictionaries and tagged word list for Luxembourgish; Part-of-speech-tagged text corpus), in similarity learning aspects to allow fuzziness in search queries, and in the identification of temporal cross-dependencies inside the Luxembourgish text corpus. To validate the project, we have given heterogeneous text sources (official news items and user-contributed comments) by RTL.
read moreArthur-Schnitzler-Digital, University of Wuppertal and CambridgeUniversity together with University of Trier, funded by the Union ofAcademies Germany through the North Rhine-Westphalian Academy of Sciences, Humanities and the Arts. 2012–2016
WBLuX – Luxembourgish Word Formation, University of Luxem-bourg, funded by University of Luxembourg. 2014–2016
DoLPh – Dynamics of Luxembourgish Phraseology, University ofLuxembourg, funded by Luxembourg National Research Fund. 2011-2014
About Me
I earned my master’s degree in Computational Philology from the University of Würzburg (Germany) and my PhD in Digital Humanities from the University of Trier (Germany). Since 2012 I have been involved in different projects at the Universities of Trier and Luxembourg. I am interested in research on appling machine learning in different fields of Humanities. These could be big databases, corpora, portals or language corpora and big language models, especially the ones which were created with the help of the newest deep learning algorithms.
Additional Information
I am about to finish my book about Artificial Intelligence