University of Cambridge

Bilingual AI for smarter, immersive learning

Traditional language learning tools are unable to replicate the natural, intuitive way bilinguals switch between languages — a process known as code-switching. This technology bridges that gap.

Technology overview

Developed using advanced machine learning, this innovation generates and evaluates language learning content that mimics how bilingual speakers naturally alternate between languages. The result is a more immersive, human-like learning experience that adapts to each learner’s proficiency and goals.

By blending learners’ native language with the target language in a grammatically sound and pedagogically meaningful way, the system enhances comprehension, engagement and retention. Whether used in digital platforms, educational software, or corporate training, this technology offers a personalised and intuitive path to fluency.

Benefits

  • Natural, context-rich learning: Mirrors how educators use a learner’s native language to clarify meaning and reinforce key concepts, creating a more intuitive and human-like experience.
  • Adaptive and personalised: Tailors the complexity of bilingual content to match each learner’s proficiency and goals, ensuring the right level of challenge and engagement.
  • Clear, transferable language structures: Generates bilingual content that respects the grammar of both languages, helping learners build fluency without confusion.

Applications

  • Digital language learning platforms and mobile apps
  • Educational software for schools and universities
  • Corporate training tools for multilingual workforces

Opportunity

We are seeking a development partner to help bring this technology to market.

Inventor

Igor Sterner