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.


35 documents
  • Rackevičienė, Sigita, Utka, Andrius, Mockienė, Liudmila, Rokas, Aivaras. (November, 2021). Methodological Framework for the Development of an English-Lithuanian Cybersecurity Termbase. Zenodo. https://doi.org/10.5755/j01.sal.1.39.29156
  • Anna Bączkowska. (December, 2021). "You're too thick to change the station" – Impoliteness, insults and responses to insults on Twitter. Zenodo. https://doi.org/10.2478/topling-2021-0011
  • Carvalho, Sara, Kernerman, Ilan. (July, 2021). An overview of NexusLinguarum use cases: Current status and challenges. Zenodo. https://doi.org/10.5281/zenodo.5729079
  • Milan Dojchinovski, Julia Bosque-Gil, Jorge Gracia, Stanković, Ranka. (September, 2021). EUROLAN 2021: Introduction to Linked Data for Linguistics Online Training School. Zenodo. https://doi.org/10.18485/infotheca.2021.21.1.7
  • Dagmar Gromann, Lennart Wachowiak, Christian Lang, Barbara Heinisch, Giedrė Valūnaitė Oleškevičienė, Chaya Liebeskind, Dimitar Trajanov, Purificação Silvano, Christian Chiarcos, Mariana Damova, Hugo Gonçalo Oliveira, Vasile Păiș, Maria Mitrofan, Margaux Susman, Djuddah Leijen, Nicholas Groom, Christer Johansson. (September, 2021). Workshop on Deep Learning and Neural Approaches for Linguistic Data - Book of abstracts. Zenodo. https://doi.org/10.5281/zenodo.5566237
  • Hugo Gonçalo Oliveira. (September, 2021). On the Utility of Word Embeddings for Enriching OpenWordNet-PT. Zenodo. https://doi.org/10.4230/OASIcs.LDK.2021.21
  • Florentina Armaselu, Elena-Simona Apostol, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truică, Giedrė Valūnaitė Oleškevičienė. (August, 2021). HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case. Zenodo. https://doi.org/10.4230/OASIcs.LDK.2021.34
  • Gilles Sérasset. (August, 2021). Turkish DBnary archive in original Lemon format. Zenodo. https://doi.org/10.5281/zenodo.5243362
  • Gilles Sérasset. (August, 2021). Swedish DBnary archive in original Lemon format. Zenodo. https://doi.org/10.5281/zenodo.5243356
  • Gilles Sérasset. (August, 2021). Russian DBnary archive in original Lemon format. Zenodo. https://doi.org/10.5281/zenodo.5243352