Analyze grammatical structure by identifying the part of speech for each word. Compare different tag sets and explore linguistic patterns.
Configure POS tagging parameters and input text
Penn Treebank tags with confidence scores
Enter text above to see POS tagging analysis
Part-of-speech tagging assigns grammatical categories (noun, verb, adjective, etc.) to each word in a sentence based on context and morphology.
Penn Treebank uses fine-grained tags (45 tags) while Universal POS uses broader categories (17 tags) for cross-linguistic consistency.
POS tagging is fundamental for parsing, named entity recognition, information extraction, and many other NLP tasks.