OK, have you seen this latest blog post about dynamic grammar creation with OpenEars? It could get you closer to the result you’re seeking than using a probabilistic language model plus Rejecto:
https://www.politepix.com/2014/04/10/openears-1-7-introducing-dynamic-grammar-generation/
You definitely don’t want to put words into your model that aren’t words you want to detect. That will increase the potential for confusion, and that confusion will be multiplied by the fundamental design feature of the app that it is to be used by non-native speakers. I think this is one where you might either get better results by using Rejecto with a high weighting and removing any words from your language model that you don’t want to detect (i.e., let Rejecto exclusively perform the role of detecting things you don’t want and only have words in your model that you do want to detect), or by moving to a grammar instead of a language model.