The process of tagging language data involves identifying and labeling grammatical, semantic, or phonetic elements within text or speech. This can include assigning parts of speech (e.g., nouns, verbs, adjectives), marking semantic roles (e.g., subject, object), or flagging phonetic features like stress or intonation patterns.
Tagging is essential in natural language processing (NLP) tasks such as text analysis, machine translation, and speech recognition, as it helps systems understand and process human language more effectively.