Thanks to contributions from over 259k people in over 50 languages, this data is being used to train speech-enabled applications to better respond to the human voice.
Ni ñgôô i 250  ma dikôô ni 09 ma basañge makiñ ba lôlak ilel 50 ma biloñ, mini minje mi so bôñla inyu liniiga bibañ bi biñgwel likeñge li makiñ lelaa bi nla tibil solol ni nigle makiñ ma bôt ba binam.