Czech has around 10M speakers world wide. It sucks that they don't have solid predictions, but there are languages with massively more linguistic footprint that

Czech has around 10M speakers world wide. It sucks that they don't have solid predictions, but there are languages with massively more linguistic footprint that will end up prioritized. Without putting too fine a point on it, I can tell you from direct experience that while it might seem that purely statistical methods are sufficient for predictive text, one of the problems is that you're building those models (whether using neural nets or pure stat models) from a body of text that is fraught with peril and the details matter. There's really basic stuff like profanity and other offensive constructs (see all the jokes about google suggestion auto-complete where sexist, racist, and otherwise offensive suggestions get tons of attention), then there's the problem of source languages often having a clear shift in acceptable completions for entirely different reasons. The euphemism treadmill in US English are an obvious and continuing expense, but consider whether USSR-era Czech texts, which are substantial, would be a safe bet in training a completion system.