Part-of-Speech Tagging

Also known as: POS tagging, POS

Part-of-speech tagging assigns a grammatical category — noun, verb, adjective, determiner, etc. — to each token in a sentence. POS tags provide shallow syntactic structure that helps downstream components such as parsers and named entity recognizers disambiguate word meanings and identify phrase boundaries. Classical POS taggers used maximum-entropy models or hidden Markov models trained on annotated corpora; neural taggers now achieve near-human accuracy on standard benchmarks.