Process / pipeline

Part-of-Speech Tagging (POS Tagging)

Part-of-speech tagging assigns a grammatical category label — noun, verb, adjective, and so on — to every word in a text. It is a foundational natural-language-processing task, formalised as a statistical model by Ratnaparkhi (1996) and packaged into widely used toolkits such as Stanford CoreNLP (Manning et al., 2014), and it serves as a preliminary step for syntactic analysis and information extraction.

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Sources

  1. Ratnaparkhi, A. (1996). A Maximum Entropy Model for Part-Of-Speech Tagging. EMNLP. link
  2. Manning, C.D. et al. (2014). The Stanford CoreNLP Natural Language Processing Toolkit. ACL. DOI: 10.3115/v1/P14-5010

Related methods

Referenced by

ScholarGatePOS Tagging (Part-of-Speech Tagging). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/pos-tagging