Generating a Culturally and Linguistically Adapted Word Similarity Benchmark for Yucatec Maya

In the field of AI, word embedding models have proven to be one of the most effective methods for capturing semantic and syntactic relationships between words, enabling significant advancements in natural language processing. However, producing word embeddings for low-resource indigenous languages—...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Alejandro Molina-Villegas, Joel Suro-Villalobos, Jorge Reyes-Magaña, Silvia Fernandez-Sabido
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Asociación Española para la Inteligencia Artificial 2025-09-01
coleção:	Inteligencia Artificial
Assuntos:	Yucatec Maya Low-resource NLP Word embeddings for Indigenous languages Swadesh list Culturally grounded NLP
Acesso em linha:	http://journal.iberamia.org/index.php/intartif/article/view/2119
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!