PART-OF-SPEECH TAGGING AND ITS APPLICATIONS

Abstract

 Part-of-speech (POS) tagging is a foundational technique in natural 
language processing that involves assigning grammatical categories such as nouns, 
verbs, adjectives, and adverbs to every word in a text. This process enables machines 
to understand language structure, support linguistic analysis, and enhance various AI 
applications. POS tagging is essential for information extraction, machine translation, 
text mining, sentiment analysis, and speech recognition. Modern tagging methods 
combine rule-based, statistical, and neural-network approaches to increase accuracy. 
As a result, POS tagging continues to play a crucial role in the development of 
intelligent language technologies.