Common use cases in natural language processing
In natural language processing, pairing terms with their corresponding grammatical tags is a fundamental step for structuring unstructured text. One of the most frequent applications of this pattern is Part-of-Speech tagging, where words in a sentence are mapped directly to their syntactic categories, such as nouns, verbs, adjectives, or adverbs. By iterating over parallel lists of words and tags, developers can easily build training data for machine learning models, generate features for text classifiers, or extract specific