N-gram Model

An N-gram model is a tool used in language processing that predicts the likelihood of a word or sequence of words based on the words that came before it. It looks at fixed-length groups of words, called N-grams (for example, pairs or triples), to analyze patterns in text. By learning these patterns from large amounts of data, the model can suggest what word is most likely to come next, enabling applications like autocomplete, speech recognition, or translation. Essentially, it captures how words tend to follow each other to help understand and generate human language.