Consecutive sequences of n words in a text, ranging from single words to strings of two or more uninterrupted word forms. Utilized in computational linguistics and natural language processing, n-grams serve as fundamental components for modeling language data, facilitating tasks such as text prediction, spelling correction, and language identification. By analyzing the frequency and patterns of these word sequences, algorithms can better understand and generate human-like text, capturing the nuances of language structure and usage.
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