How BYU Researchers Are Using AI to Preserve Endangered Languages & Boost Translation Tech (2026)

The world's linguistic tapestry is vast and intricate, with an estimated 7,170 languages currently spoken across diverse cultures. Yet, a stark disparity exists between the languages that are easily accessible through translation apps and those that remain largely invisible to modern technology. Brigham Young University (BYU) researchers are at the forefront of a groundbreaking initiative, Pathsay, aimed at bridging this gap and preserving linguistic heritage. This project is a testament to the power of technology in addressing a critical global challenge.

Preserving Linguistic Heritage

Pathsay, a collaborative effort between BYU students and international Pathway Worldwide students, focuses on collecting speech and text data for low-resource languages. These languages, often overlooked by mainstream technology, are those with limited digital resources available for training translation models. According to BYU computer science professor Steve Richardson, any language beyond the top 100 in terms of digital resources is considered low-resource. This category includes many languages actively spoken by hundreds of thousands or even millions of people, emphasizing the project's significance.

The project has already made remarkable strides, amassing over 750,000 recorded sentences and 2,200 hours of audio across 30 different languages. This extensive dataset is a testament to the dedication of the students and researchers involved. By the end of the year, the team aims to expand this collection to include 50 languages, further enhancing the project's impact.

Personal Touches and Cultural Significance

One of the most compelling aspects of Pathsay is the personal involvement of students from various countries. Students from South Africa, Nigeria, and Kenya, for instance, have contributed by recording sentences in their native languages. This not only helps in preserving their own linguistic heritage but also adds a unique cultural dimension to the project. Thomas, a BYU Pathway student from Ghana, expressed the profound impact of this initiative, highlighting how it provides an opportunity to learn and appreciate local languages that are often overlooked in everyday communication.

The Challenge of Low-Resource Languages

The challenge of working with low-resource languages is significant. As Richardson notes, these languages often lack sufficient translated sentences online to train models like Google Translate effectively. This is particularly true for endangered languages, which may soon disappear with only a few dozen native speakers remaining. The goal, therefore, is not just to translate but to preserve the culture and heritage associated with these languages, ensuring that the valuable knowledge of these communities is not lost.

A Global Call to Action

Pathsay is a powerful example of how technology can be harnessed to address a global issue. By involving students from diverse backgrounds and cultures, the project not only contributes to linguistic preservation but also fosters a sense of global citizenship. As the world becomes increasingly interconnected, initiatives like Pathsay are crucial in ensuring that the rich tapestry of human languages is not lost but instead celebrated and preserved for future generations.

How BYU Researchers Are Using AI to Preserve Endangered Languages & Boost Translation Tech (2026)

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