<prompt> Hlalosa hore na mohlala oa puo ea n-gram ke engnan  <response>: Instruction in English: Explain what an n-gram language model is . Response in English: An n-gram language model is a type of statistical language model that is used to predict the probability of a sequence of words in a phrase or a sentence. It is based on the Markov assumption that the probability of a word depends only on a fixed number of preceding words known as the Markov order. The n in the n-gram represents the number of words considered for the prediction of the next word.For instance, lets take an example of a trigram model where n3, which means it will take into account the last two words to determine the probability of the next word in the sequence. So given the sentence I like to swim in the, the trigram will consider the words in the and assign probabilities for each possible next word. The word that has the highest probability of coming next will be chosen.N-gram language models are trained on large corpora of text data and rely on counting the frequency of n-grams in the data to estimate their probability within any given text sequence. They are widely used in many natural language processing applications such as speech recognition, machine translation, text generation, and text classification. While n-gram language models have their limitations and can run into the problem of data sparsity, they are simple to implement and have proven to be effective. . Response in Sesotho: Mohlala oa puo ea n-gram ke mofuta oa mofuta oa puo oa lipalo-palo o sebelisetsoang ho bolela esale pele monyetla oa tatellano ea mantsoe polelong kapa polelong. E thehiloe khopolong ea Markov ea hore monyetla oa lentsoe o itšetlehile feela ka palo e tsitsitseng ea mantsoe a tlang pele a tsejoang e le taelo ea Markov. N ho n-gram e emela palo ea mantsoe a nkoang bakeng sa ho bolela esale pele lentsoe le latelang. Mohlala, a re nke mohlala oa mohlala oa trigram moo n 3, e bolelang hore e tla ela hloko mantsoe a mabeli a ho qetela ho fumana monyetla oa lentsoe le latelang ka tatellano. Kahoo ha ho fanoe ka polelo Ke rata ho sesa, trigram e tla nahana ka mantsoe ho me e fane ka menyetla ea lentsoe le leng le le leng le latelang. Ho tla khethoa lentsoe le nang le monyetla o moholo oa ho tla hamorao. Mefuta ea lipuo tsa N-gram e koetlisetsoa ho lihlopha tse kholo tsa data ea mongolo me e itšetlehile ka ho bala khafetsa ea n-grams ho data ho hakanya monyetla oa bona ka hara tatellano leha e le efe ea mongolo. Li sebelisoa haholo litsebetsong tse ngata tsa tsebetso ea puo ea tlhaho joalo ka temoho ea puo, phetolelo ea mochini, tlhahiso ea mongolo, le ho hlopha mongolo. Le hoja mefuta ea lipuo tsa n-gram e na le mefokolo ea eona me e ka kena bothateng ba data sparsity, e bonolo ho e sebelisa ebile e ipakile e sebetsa. 