KAIST unveils K-Braille, a sentence-aware translator improving braille for the visually impaired

A team at Korea Advanced Institute of Science and Technology (KAIST) has unveiled a next-generation braille translation engine, K-Braille, designed to understand sentences rather than merely swap characters. Developed by the university’s Rehabilitation AI Laboratory within the Convergence Talent program, the system aims to boost information access for visually impaired users by translating ordinary text into braille more accurately and fluently.

K-Braille uses morphological and syntactic analysis to interpret sentence structure and context before converting text to braille. This approach addresses the complexities of Korean braille, including cases with mixed Korean and foreign text, symbols, and unit notations, where conventional translation tools struggle to comply with revised braille regulations.

To verify performance, KAIST researchers tested K-Braille on Mokja-Braille Parallel Corpus (NLPAK), the National Institute of Korean Language’s largest braille data set. They extracted 17,943 sentences and found a 100% practical compliance rate with braille rules. The engine also achieved an average 99.81% similarity in the morphological structure between the original sentences and their braille representations.

The team plans to offer K-Braille at no cost as an inclusive artificial intelligence tool. To avoid fragmentation and maintain a sustainable ecosystem, they will pursue formal technology transfer and partnerships with public agencies, education offices, braille libraries, and assistive-device manufacturers rather than releasing it as open-source software.

Professor Ga Hyun-wook, who is congenitally visually impaired, described braille as a language for reading the world, not just a set of symbols. He said the project will continue toward handling mathematics, scientific notation, and musical notation, expanding the system beyond general text.

For international readers, the development highlights how advanced accessibility AI can bridge language, education, and disability needs beyond Korea. In the United States and other markets, improvements in accurate, context-aware braille translation could support better access to STEM content, support compliance with accessibility standards, and potentially inform cross-border collaborations on standardizing assistive technologies and education tools.