Language Technology at UiT The Arctic University of Norway

The Divvun and Giellatekno teams build language technology aimed at minority and indigenous languages

View GiellaLT on GitHub divvungiellatekno/

Page Content


Moments for further work

(1) Fuzzy search for examples (sentences, or word in context):

(pointer to Microsoft Research ASL Assistant by Michael Gamon and colleagues: The idea is to show the learner multiple alternatives of expressing something - in the Microsoft case related to “errors”, but it could also allow the learner to explore alternative options of expressing what they want to express.

MA Thesis on discovering subphrasal repeats

(2) software engineering to support modular code(re)use and further development:

(3) scaffolding feedback for learners

(4) Improving vocabulary learning

(5) Combining the perspective of language as a system (grammar) with language in use

(6) Learner Modeling

(7) Visual Input Enhancement of authentic texts

(8) Small improvements, bugs, and programming tasks