The creation of the English-Tulu machine translation model stands as a significant milestone, achieved despite the absence of direct parallel English-Tulu data. This success is attributed to a transfer learning strategy, making use of related language resources to propel the development of translation systems for less-documented languages.

• First of Its Kind: The pioneering parallel dataset for English-Tulu translation.
• Transfer Learning Utilization: Leveraging similarities with high-resource languages to support low-resource language translation.
• Performance Excellence: Outperforming Google Translate’s results for the Tulu language.
• Open Source Contributions: The dataset and model code made freely available for further development and research.

Transfer learning’s application in the linguistics domain emphasizes its versatility and impact on machine learning. Investigate the full article to appreciate how technology transcends barriers, enhancing communication across diverse language landscapes.