Linguistic diversity as a two-step process: Grounding polysemy in universal neural networks and expanding it by cultural learning

Marit Lobben, Laura Bakke, Tor Endestad

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DOI: 10.31234/osf.io/235kr_v1
Published: 2026-08-06
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Publisher: Center for Open Science
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Cite this work

BibTeX

@article{allodium:10.31234/osf.io/235kr_v1,
  title = {Linguistic diversity as a two-step process: Grounding polysemy in universal neural networks and expanding it by cultural learning},
  author = {Marit Lobben and Laura Bakke and Tor Endestad},
  year = {2026},
  doi = {10.31234/osf.io/235kr_v1},
  url = {https://doi.org/10.31234/osf.io/235kr_v1}
}

RIS

TY  - JOUR
TI  - Linguistic diversity as a two-step process: Grounding polysemy in universal neural networks and expanding it by cultural learning
AU  - Marit Lobben
AU  - Laura Bakke
AU  - Tor Endestad
PY  - 2026
DO  - 10.31234/osf.io/235kr_v1
UR  - https://doi.org/10.31234/osf.io/235kr_v1
ER  -

APA

Lobben, M., Bakke, L., & Endestad, T. (2026). Linguistic diversity as a two-step process: Grounding polysemy in universal neural networks and expanding it by cultural learning. https://doi.org/10.31234/osf.io/235kr_v1

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crossref · retrieved 2026-09-25T12:23:58.835Z