>>> import spacy_jptdp
>>> nlp=spacy_jptdp.load("en_ewt")
>>> doc=nlp("We are finished.")
>>> for t in doc:
... print("\t".join([str(t.i+1),t.orth_,"_",t.pos_,"_","_",str(0 if t.head==t else t.head.i+1),t.dep_,"_","_" if t.whitespace_ else "SpaceAfter=No"]))
...
1 We _ PRON _ _ 3 nsubj _ _
2 are _ AUX _ _ 3 cop _ _
3 finished _ ADJ _ _ 0 ROOT _ SpaceAfter=No
4 . _ PUNCT _ _ 3 punct _ SpaceAfter=No
>>> import deplacy
>>> deplacy.render(doc)
We PRON <══╗ nsubj
are AUX <╗ ║ cop
finished ADJ ═╝═╝═╗ ROOT
. PUNCT <════╝ punct
spacy_jptdp.load(treebank)
loads spaCy Language pipeline for jPTDP. Available treebanks are HERE.
pip install spacy_jptdp