What's the best way to handle English parsing in Python? or How can I improve English parsing accurac

You’re right—NLTK *is* slow. But it’s got the best docs for learning. SpaCy’s faster, but the learning curve’s steeper.

For slang, maybe try a lookup table? Or this repo with common slang mappings: [Link to slang repo].

Also, don’t sleep on `stanza` by Stanford. It’s like NLTK but with a speed boost. Great for english parsing python if spaCy feels like overkill.