Karol Saputa

Many thanks! To sum up, all the vocabs I want to extract: ``` 'ner', nlp.processors['ner'].get_known_tags() 'deprels', list(pipe.processors['depparse'].vocab['deprel']._unit2id.keys()) 'upos', list(pipe.processors['pos'].vocab['upos']._unit2id.keys()) 'xpos', list(pipe.processors['pos'].vocab['xpos']._unit2id.items()) 'feats', list(pipe.processors['pos'].vocab['feats']._unit2id.items()) ``` I also see that I need...

Thank you! For me, there code above is enough. However, I see two issues related to the auxiliary methods you added. - `get_known_feats` does not return values for specific morph...

> What would you like to see? I added my version in #1073 > What would be useful in this case? I am not sure putting each of the maps...

> What about returning a list of sets for the nested tags? You can get the first set in that case. I suppose that brings up an interface question of...

> However, is there a limitation to integrating the code to convert the text input? It would make rebuilding the model in the future much easier, in case there are...

There is no sense or profit in making it work on Windows. You should try using Windows Subsystem for Linux for this.

It is the point of tmp files to be deleted. Wysłano z programu Outlook dla systemu Android ________________________________ From: topl0305 ***@***.***> Sent: Wednesday, January 22, 2025 12:41:34 PM To: stanfordnlp/stanza-train...