A conventional, count-based n-gram language model is not well-suited due to the issue of data sparsity.
the number of rows in the table storing n-gram statistics will explode as the number of possible sentence combinations grows exponentially with respect to both the vocabulary size, each sentence's length and the number of context sentences.