Understand the context. Then build.
Language technology should begin with the people, knowledge and practices it is intended to support.
Language in everyday life.
Our research direction starts with how people use language: to learn, communicate, preserve knowledge and create. Understanding practical needs should guide the selection and evaluation of tools.
We have not published a supported language list or benchmark results. Those claims will require appropriate evaluation.
Knowledge with attribution and consent.
Language materials can contain personal stories, cultural knowledge and work that belongs to individuals or communities. Initial collaboration discussions do not grant permission to collect or reuse those materials.
Any future contribution process will need clear permission, attribution, intended use and review arrangements.
Creative expression as a research question.
We are interested in how language technology can support creative expression while preserving context and authorship. These are areas to explore with practitioners, rather than a claim of already available tools.
Evaluate before making promises.
Working behavior, limitations and language-specific results should inform a release. A design prototype is useful for discussion, but it is not evidence that an AI capability works.
Let’s build a future
with more voices in it.
Partnerships, sponsorship, collaboration and investment.
If our direction speaks to you, let’s talk.