PartofSpeechTags
PartofSpeechTags, commonly referred to as POS tags, are labels assigned to words to indicate their syntactic category within a sentence. POS tagging is the process of assigning these tags to tokens in running text, producing a sequence of word-tag pairs. The tags help computational systems understand sentence structure beyond the surface form of words.
Tag sets vary by language and application. The Penn Treebank tagset for English includes tags such as
POS tags are produced by taggers that can be rule-based, statistical, or neural. Early approaches used hidden
POS tagging is a foundational step in many NLP tasks, including syntactic parsing, lemmatization, named-entity recognition,
Challenges include lexical ambiguity, where a word assumes different tags depending on context, language-specific morphology, and