Translation creates cognitive overload
Traditional translation tools treat language as complete sentences, often presenting users with large blocks of translated text. While this provides an answer, it places a significant cognitive load on users, especially during live conversations, making it difficult to quickly identify and process what matters most.
Translation and learning are disconnected
Many translation users are also language learners, yet translation and language learning are often treated as separate experiences. Users must deliberately switch between the two, creating friction and missing opportunities to learn naturally through everyday conversations.
How might we make translation more intuitive and closer to how humans naturally interpret language, so users can focus on what matters, understand more easily, and seamlessly turn translation into a learning experience?
How might we make translation more intuitive and closer to how humans naturally interpret language, so users can focus on what matters, understand more easily, and seamlessly turn translation into a learning experience?