N-grams are contiguous sequences of 'n' items or elements from a given sample of text or speech, commonly used in the fields of natural language processing and computational linguistics. By analyzing the frequency and patterns of these sequences, n-grams can help in various tasks such as text prediction, language modeling, and machine translation. This technique is foundational for understanding how words or phrases co-occur in language, which is essential for applications in computer vision that involve interpreting and generating text descriptions of visual content.
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