Support for PTB and Universal POS tags

Issue text updated by @goodmami

This issue appears to be a request to automatically map other part-of-speech tag schemes (such as PTB and Universal POS) to the ones used by wordnets so that a lookup for, e.g., wn.words('dog', pos='VERB') is equivalent to wn.words('dog', pos='v'). I’m not sure if the request is to also support reverse mappings (e.g., synset.ptb_pos).

Original issue text:

https://github.com/nltk/nltk/pull/2965

[goodmami]

Ok, I think I understand. I’ve updated the original issue text to clarify (please update if it’s inaccurate).

However, my initial reaction is that this is not a good fit for Wn. Unlike the NLTK, Wn is not trying to accommodate a wide range of NLP tasks, but is specifically about modeling and working with wordnet data as defined by WN-LMF. I would therefore suggest using another tag mapper with Wn, such as the NLTK’s nltk.tag.mapping (but I’m not sure if it supports the wordnet tagset). If it does, you could write a wrapper function:

def ptb_synsets(lemma: str = None, pos: str = None, *args, **kwargs) -> wn.Synset:
  if pos:
    pos = map_tag('en-ptb', 'wordnet', pos)
  return wn.synsets(lemma, pos, *args, **kwargs)

[goodmami]

Since support for non-wordnet POS schemes is not currently part of the roadmap, so I will close this as wontfix.