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European network for Web-centred linguistic data science

THE ACTION

The main aim of NexusLinguarum is to promote synergies across Europe between linguists, computer scientists, terminologists, and other stakeholders in industry and society, in order to investigate and extend the area of linguistic data science.

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We understand linguistic data science as a subfield of the emerging “data science”, which focuses on the systematic analysis and study of the structure and properties of data at a large scale, along with methods and techniques to extract new knowledge and insights from it. Linguistic data science is a specific case, which is concerned with providing a formal basis to the analysis, representation, integration and exploitation of language data (syntax, morphology, lexicon, etc.). In fact, the specificities of linguistic data are an aspect largely unexplored so far in a big data context.

ACTIVITIES

The activities of the Action aim to foster collaboration and knowledge-sharing between the Action members, and include Short-Term Scientific Missions (STSMs), WG meetings, conferences and workshops, training schools, and other dissemination events.

RECENTS NEWS

The results of the Action include reports, publications, pointers to relevant systems and resources, as well as collaborations and bridges to related initiatives.

TEAM

NexusLinguarum is composed of five working groups (WGs 1-5), interoperating and providing mutual feedback between themselves. The core group is responsible for the coordination and management of the whole network, and for the dissemination of its results.

RESULTS

The results of the Action include reports, publications, pointers to relevant systems and resources, as well as collaborations and bridges to related initiatives.

  • Garabík, Radovan, Ostroški Anić, Ana, Rackevičienė, Sigita, Valūnaitė Oleškevičienė, Giedrė, Selmistraitis, Linas, Utka, Andrius. (August, 2023). Validation of the Bigger Analogy Test Set Translation into Croatian, Lithuanian and Slovak. Zenodo. https://doi.org/10.34619/srmk-injj
  • Rackevičienė, Sigita, Utka, Andrius. (April, 2024). Developing Training Corpora for Automatic Extraction of Cybersecurity Terminology. Zenodo. https://doi.org/10.5281/zenodo.11047868
  • Gracia, Jorge. (July, 2020). NexusLinguarum: European network for Web-centred linguistic data science. Zenodo. https://doi.org/10.5281/zenodo.3969337
  • Ikonić Nešić, Milica, Stanković, Ranka, Schöch, Christof, Škorić, Mihailo. (April, 2024). From ELTeC Text Collection Metadata and Named Entities to Linked-data (and Back). Zenodo. https://doi.org/10.5281/zenodo.10995920
  • Stanković, Ranka, Košprdić, Miloš, Ikonić Nešić, Milica, Radović, Tijana. (April, 2024). Sentiment Analysis of Serbian Old Novels. Zenodo. https://doi.org/10.5281/zenodo.10995842
  • Thierry Declerck | Sam Bigeard | Fahad Khan | Irene Murtagh | Sussi Olsen | Mike Rosner | Ineke Schuurman | Andon Tchechmedjiev | Andy Way. (June, 2023). A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data. Zenodo. https://doi.org/10.5281/zenodo.10987168
  • Stanković, Ranka, Chiarcos, Christian, Utvić, Miloš, Kitanović, Olivera. (April, 2024). Towards ELTeC-LLOD: European Literary Text Collection Linguistic Linked Open Data. Zenodo. https://doi.org/10.5281/zenodo.10995982
  • Lazarević, Jelena, Stanković, Ranka, Škorić, Mihailo, Rujević, Biljana. (April, 2024). Football terminology: compilation and transformation into OntoLex-Lemon resource. Zenodo. https://doi.org/10.5281/zenodo.10996038
  • Radović, Tijana, Stanković, Ranka. (April, 2024). Fourth Summer Datathon on Linguistic Linked Open Data. Zenodo. https://doi.org/10.18485/infotheca.2023.23.1.6
  • Kitanović, Olivera, Stanković, Ranka, Tomašević, Aleksandra, Škorić, Mihailo, Babić, Ivan, Kolonja, Ljiljana. (March, 2021). A Data Driven Approach for Raw Material Terminology. Zenodo. https://doi.org/10.3390/app11072892

COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.