01447nas a2200157   4500000000100000008004100001100001900042700002300061700001600084700001800100700002000118245007900138856014800217300001400365520091000379                                       d1 aMelissa Robles1 aCristian Martínez1 aJuan Prieto1 aSara Palacios1 aRubén Manrique00aPreserving Heritage: Developing a Translation Tool for Indigenous Dialects  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85191708789&doi=10.1145%2f3616855.3637828&partnerID=40&md5=7567746de3724844dd150628adc596ef  a1200-12033 aThe preservation and understanding of indigenous languages emerge as crucial, given their substantial contribution to the cultural and linguistic heritage of communities. Despite their undeniable value, these languages are threatened by extinction due to a dwindling number of native speakers and the predominance of oral traditions over written forms. In this context, this study aims to contribute to the conservation of these languages through the development of a Spanish-indigenous language translator. This research employs neural machine translation technology, investigating three distinct approaches: A translation model based on transformers, finetuning with a Finnish translator, and finetuning with a multilingual translator. The results obtained from these methodologies are promising, demonstrating competitive viability when compared to the limited existing research in this field of study.