MEXIN: Multidialectal Ontology supporting NLP approach to improve government electronic communication with the Mexican Ethnic Groups
Fernando Ortiz, Sanju Mishra Tiwari, Ronak Panchal, José Melchor Medina Quintero, Ruben Mizael Barrera · 2022
The government services usually target all citizens, but sometimes physical services nor technology-based services do not cover all people. This research aims to tackle services given to underrepresented citizens in Mexico (Indigenous people) and apply NLP techniques supported by ontologies to achieve accurate translation to most dialects spoken in Mexico. The scope of this paper only tests with Mayan dialect spoken primarily in the Mexican peninsula.