Part-of-Speech Tagging (POS Tagging)
Definition
POS tagging assigns grammatical parts of speech to words in a sentence.
The assignment of grammatical parts of speech such as noun, verb, or adjective to tokens in context.
Simply explained
A program marks, for example, which word is a verb and which is a noun.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
A text analysis process marks parts of speech as a basis for further extraction.
Limits and pitfalls
- Part-of-speech systems differ between tools and languages. Ambiguous words may require different assignments depending on the sentence.
Origin & history
POS tagging is a classical NLP task ranging from rule-based to statistical to neural methods.
Use in mid-sized companies
- Possible example: A text analysis process marks parts of speech as a basis for further extraction.
Frequently asked questions
What does part-of-speech annotation mean?
The assignment of grammatical parts of speech such as noun, verb, or adjective to tokens in context. What mistakes should be avoided? Ignoring tagsets, ambiguity, and language-specific rules.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: