Geographically‑Informed Multilingual Neural Machine Translation
Journal: Preprints.org
Year: 2025

This work introduces the approach of integrating geographic coordinates into a multilingual neural machine translation architecture, alongside special tokens (linguistic tags). The approach enables modeling of language continua and hypothetical language varieties through geospatial interpolation across supported languages. We fine-tuned a Transformer model on a custom dataset of 31 languages annotated with geographic vectors and three types of tags (family, group, script), enabling the model to