Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings

In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data‐driven, scalable way, which is grounded in language use. We show a unique and reliable relation between measures of language change and age of acquisition (AoA) whi...

Descripción completa

Detalles Bibliográficos
Autores principales: Cassani, Giovanni, Bianchi, Federico, Marelli, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Regular Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244097/
https://www.ncbi.nlm.nih.gov/pubmed/33877700
http://dx.doi.org/10.1111/cogs.12963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244097/
https://www.ncbi.nlm.nih.gov/pubmed/33877700
http://dx.doi.org/10.1111/cogs.12963

Ejemplares similares