clever smoothing methods of mixture models where you might put a lot of your probability on you know the you know grammar by grammar trigram model which is more expressive but you'll smear probability backing off if you don't see a word for instance or don't have a match to that unigram model or uniform model in the limit and so this was kind of what you saw a language models in the 80s and 90s spend a lot of their time on is they kind of were these very they were still basically count tables and statistical count tables but they