In this work, we consider the development of an algorithm for punctuation analysis of Uzbek texts. Due to the fact that the Uzbek language
is considered a low-resource language, such algorithms have not been developed so far. An algorithm was developed using the N-gram model for
punctuation analysis of Uzbek texts. The n-gram model is widely used to solve natural language processing problems. For example, statistical modeling of language is able to predict the next word in a given sequence of words. In this work, the next word prediction algorithm was used from the corpus of the Uzbek language using the n-gram model, and punctuation marks were considered as the next word.