Skip to content
Review

RAÍZ: A Hybrid Transformer-Based Machine Translation Architecture with Linguistic Preprocessing and Community Validation for Low-Resource Indigenous Languages (Spanish – Nahuatl and Spanish – Mazahua)

· 0 citations · 1 references

TL;DR

The findings provide evidence that low-resource translation improves when neural learning is combined with linguistically informed and culturally aware processing, and offer a transferable foundation for future research on Indigenous language technology, language preservation and community-centred NLP.

View source

Similar papers

Open access Sep 2026

RAÍZ: A Hybrid Architecture Based on Linguistic Knowledge and Deep Learning for the Machine Translation of Low-Resource Indigenous Languages

Indigenous languages continue to experience significant technological marginalisation due to limited digital corpora, orthographic inconsistency, dialectal variation, morphological complexity, and insufficient representation in contemporary natural language processing systems. This study introduces RAÍZ, a hybrid machi...

Gabriela Salas-Cabrera, Aníbal Alejandro Gallegos-Macías, F. Trejo-Macotela · 0 citations
2026

Efficient Adaptation of English Language Models for Morphologically Rich and Underrepresented Languages: The Case of Arabic

A resource-efficient adaptation of the English-pretrained ModernBERT for Arabic, employing continued pretraining on large Arabic corpora followed by lightweight head-only fine-tuning with a frozen encoder, demonstrating that modern English encoder architectures can be efficiently transferred to Arabic through language-...

Ahmed Samy Eldamaty, M. Abdelrahman, Mohamed Mostafa Ibrahim Elbehery et al. · 0 citations
#natural language process... Preprint Sep 2026

COILD: An Indic-Centric Parallel Corpus and Benchmark for Machine Translation Across Indian Languages

COILD, an Indic-centric parallel corpus comprising over 1.16 million human-translated and human-verified sentence pairs, covers 20 Indian language pairs across the Indo-Aryan, Dravidian, Tibeto-Burman, and Austro-Asiatic language families, and provides a valuable training and evaluation resource for advancing multiling...

Kshetrimayum Boynao Singh, Nitin Kumar Mishra, P. Dutta et al. · 0 citations
Open access Aug 2026

Construction of Chinese-Japanese-English Translation Database Based on Cross-Lingual Transformer-Based Models

The proposed framework provides an efficient solution for multilingual engineering knowledge organization, technical document retrieval, and intelligent information processing, offering valuable support for cross-language electromagnetic engineering documentation, antenna technology resources, and multilingual communic...

X.-D. Wang, D.-L. Wu · 0 citations
Open access Aug 2026

A Data-Efficient Multilingual Neural Machine Translation Model for Low-Resource Indic Languages

The effectiveness of multilingual transfer learning in low-resource settings is demonstrated by the fine-tuned Multilingual Bidirectional and Auto-Regressive Transformer-50 model, significantly outperforming the pretrained baseline.

G. Harshitha, Vasudeva, Nisha P. Poojary et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.