SETU has built many local language resources over a period of time. These resources may be useful in many of your internal projects. For example, we offer local language vocabulary with the frequency of their occurrences in a sufficiently large corpus. We also offer term n-gram model of a given language.
Resources like these can be useful in language teaching applications or speech and hand-writing recognition applications. Highly frequent localized vocabularies (for example, Hinglish in India) can also be provided which can be useful in predictive text applications. Please e-mail us if you have specific data resource requirements.
Setu Font Converter
Setu Font Converter converts most popular non-unicode News portals content in to unicode format. Check out our font converter demo.

