Tagging and Machine Translation
This project makes existing English/French web content accessible to people with low to no English literacy with having to adapt existing content or websites. Aim is to create tool and infrastructure for collaborative management of the highlighting of difficult English words on website. Then to build Machine Translations that focus on close languages, expanding to languages that are further adaptable. With this all being browser based to prevent the need for centralised infrastructure.
Region : South Africa
Beneficiaries: Stem Southern African Internet Users, Long term other languages and groups.
Achievability: Tagging Yes, Machine Translation close languages – Yes, harder as we get further apart.
Time: Tagging 1 year, Machine Translation, 3 years
Skills: Programmer, linguist, Computational linguist translators