POS Tagger accuracy?

[giorgio79]

Do you have data on POS tagging performance?

• en-pos is 96.43% https://github.com/FinNLP/en-pos
• Stanford POS is around 97% https://nlp.stanford.edu/~manning/papers/CICLing2011-manning-tagging.pdf

[Hugo-ter-Doest]

No, but we can run it on a corpus to see how it performs. Do you have a suggestion for such a data set?

Hugo

[giorgio79]

Good question. Never ran tests myself, but the test collections are referenced here https://aclweb.org/aclwiki/POS_Tagging_(State_of_the_art)#Test_collections

[lazharichir]

There are problematic tags (digital marketing is greatwill give marketing as a verb) but in a large corpus, it should not matter too much. In smaller texts, it will be problematic.

[ariel-frischer]

@giorgio79 did you ever get any updates on this? I'd like to also use an accurate pos tagger.