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.


65 documents
  • Košutar, Sara, Kramarić, Matea, Hržica, Gordana. (December, 2022). The relationship between narrative microstructure and macrostructure: Differences between six- and eight-year-olds. Zenodo. https://doi.org/10.2478/plc-2022-0007
  • Hržica, Gordana, Liebeskind, Chaya, Štrkalj Despot, Kristina, Dontcheva-Navratilova, Olga, Kamandulyte-Merfeldiene, Laura, Košutar, Sara, Kramarić, Matea, Valunaite Oleskeviciene, Giedre. (July, 2022). Morphological Complexity of Children Narratives in Eight Languages. Zenodo. https://doi.org/10.5281/zenodo.7477049
  • Košutar, Sara, Kramarić, Matea, Hržica, Gordana. (July, 2022). Age-related differences in the expression of causal relationships during narrative production of Croatian children. Zenodo. https://doi.org/10.31724/rihjj.48.1.15
  • Košutar, Sara, Karl, Dario, Kramarić, Matea, Hržica, Gordana. (September, 2022). Automatic Text Analysis in Language Assessment: Developing a MultiDis Web Application. Zenodo. https://doi.org/10.5281/zenodo.7476815
  • Sérasset, Gilles. (December, 2017). DBnary in Ontolex, All Languages Archive 2017. Zenodo. https://doi.org/10.5281/zenodo.7382840
  • Louf, T., Sanchez, D., Ramasco, J. J.. (November, 2021). Capturing the diversity of multilingual societies. Zenodo. https://doi.org/10.1103/PhysRevResearch.3.043146
  • Patricia Martín Chozas, Thierry Declerck, Elena Montiel Ponsoda, Víctor Rodríguez Doncel. (November, 2022). Termlex Extension for Terminologies. Zenodo. https://doi.org/10.5281/zenodo.7337632
  • Ahmadi, Sina, Bosque-Gil, Julia, Stellato, Armando, Gracia, Jorge, Declerck, Thierry, Chiarcos, Christian, Dojchinovski, Milan, Fäth, Christian, Ionov, Max, Turbati, Andrea, Fiorelli, Manuel. (April, 2021). EUROLAN-21 Materials (Version v1). Zenodo. https://doi.org/10.5281/zenodo.7258991
  • Sina Ahmadi, Julia Bosque-Gil, Armando Stellato, Jorge Gracia, Thierry Declerck, Christian Chiarcos, Milan Dojchinovski, Christian Fäth, Max Ionov, Andrea Turbati, Manuel Fiorelli. (April, 2021). EUROLAN-21 Slides (Version v1). Zenodo. https://doi.org/10.5281/zenodo.7258979
  • Jorge Gracia, Patricia Martín Chozas, Anas Fahad Khan, Christian Chiarcos, Elena Montiel Ponsoda, Sina Ahmadi, Thierry Declerck, Milan Dojcinovski, Christian Fäth, Dagmar Gromann, Max Ionov, Gilles Sérasset, Andon Tchechmedjiev, Manuel Fiorelli, David Lindemann, Francesco Mambrini, Bernardo Stearns, Armando Stellato, Artem Revenko. (October, 2022). SD-LLOD-22 Materials. Zenodo. https://doi.org/10.5281/zenodo.7197696

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.