>>> import stanza
>>> nlp=stanza.Pipeline("et")
>>> doc=nlp("Suuga teeb suure linna, käega ei tee kärbse pesagi.")
>>> import deplacy
>>> deplacy.render(doc)
Suuga NOUN <════╗ obl
teeb VERB ═══╗═╝═════╗═╗ root
suure ADJ <╗ ║ ║ ║ amod
linna NOUN ═╝<╝ ║ ║ obj
, PUNCT <════════╗ ║ ║ punct
käega NOUN <══════╗ ║ ║ ║ obl
ei AUX <════╗ ║ ║ ║ ║ aux
tee VERB ═══╗═╝═╝═╝<╝ ║ conj
kärbse NOUN <╗ ║ ║ nmod
pesagi NOUN ═╝<╝ ║ obj
. PUNCT <════════════╝ punct
>>> import spacy_udpipe
>>> nlp=spacy_udpipe.load("et")
>>> doc=nlp("Suuga teeb suure linna, käega ei tee kärbse pesagi.")
>>> import deplacy
>>> deplacy.render(doc)
Suuga NOUN <════╗ obl
teeb VERB ═══╗═╝═════╗═╗ ROOT
suure ADJ <╗ ║ ║ ║ amod
linna NOUN ═╝<╝ ║ ║ obj
, PUNCT <════════╗ ║ ║ punct
käega NOUN <══════╗ ║ ║ ║ obl
ei AUX <════╗ ║ ║ ║ ║ aux
tee VERB ═══╗═╝═╝═╝<╝ ║ conj
kärbse NOUN <╗ ║ ║ nmod
pesagi NOUN ═╝<╝ ║ obj
. PUNCT <════════════╝ punct
>>> import ufal.udpipe
>>> model=ufal.udpipe.Model.load("estudmodel4")
>>> nlp=ufal.udpipe.Pipeline(model,"tokenize","","","").process
>>> doc=nlp("Suuga teeb suure linna, käega ei tee kärbse pesagi.")
>>> import deplacy
>>> deplacy.render(doc)
Suuga NOUN <════╗ obl
teeb VERB ═══╗═╝═════╗═╗ root
suure ADJ <╗ ║ ║ ║ amod
linna NOUN ═╝<╝ ║ ║ obj
, PUNCT <════════╗ ║ ║ punct
käega NOUN <══════╗ ║ ║ ║ obl
ei AUX <════╗ ║ ║ ║ ║ aux
tee VERB ═══╗═╝═╝═╝<╝ ║ conj
kärbse NOUN <╗ ║ ║ nmod
pesagi NOUN ═╝<╝ ║ obj
. PUNCT <════════════╝ punct
>>> import spacy_jptdp
>>> nlp=spacy_jptdp.load("et_edt")
>>> doc=nlp("Suuga teeb suure linna, käega ei tee kärbse pesagi.")
>>> import deplacy
>>> deplacy.render(doc)
Suuga NOUN <════╗ obl
teeb VERB ═══╗═╝═════╗═╗ ROOT
suure ADJ <╗ ║ ║ ║ amod
linna NOUN ═╝<╝ ║ ║ obj
, PUNCT <════════╗ ║ ║ punct
käega NOUN <══════╗ ║ ║ ║ obl
ei AUX <════╗ ║ ║ ║ ║ aux
tee VERB ═══╗═╝═╝═╝<╝ ║ conj
kärbse NOUN <╗ ║ ║ nmod
pesagi NOUN ═╝<╝ ║ nsubj
. PUNCT <════════════╝ punct
>>> def nlp(t):
... import urllib.request,urllib.parse,json
... with urllib.request.urlopen("https://lindat.mff.cuni.cz/services/udpipe/api/process?model=et&tokenizer&tagger&parser&data="+urllib.parse.quote(t)) as r:
... return json.loads(r.read())["result"]
...
>>> doc=nlp("Suuga teeb suure linna, käega ei tee kärbse pesagi.")
>>> import deplacy
>>> deplacy.render(doc)
Suuga NOUN <════╗ obl
teeb VERB ═══╗═╝═════╗═╗ root
suure ADJ <╗ ║ ║ ║ amod
linna NOUN ═╝<╝ ║ ║ obj
, PUNCT <════════╗ ║ ║ punct
käega NOUN <══════╗ ║ ║ ║ obl
ei AUX <════╗ ║ ║ ║ ║ aux
tee VERB ═══╗═╝═╝═╝<╝ ║ conj
kärbse NOUN <╗ ║ ║ nmod
pesagi NOUN ═╝<╝ ║ nsubj
. PUNCT <════════════╝ punct
>>> import trankit
>>> nlp=trankit.Pipeline("estonian")
>>> doc=nlp("Suuga teeb suure linna, käega ei tee kärbse pesagi.")
>>> import deplacy
>>> deplacy.render(doc)
Suuga NOUN <════╗ obl
teeb VERB ═══╗═╝═════╗═╗ root
suure ADJ <╗ ║ ║ ║ amod
linna NOUN ═╝<╝ ║ ║ obj
, PUNCT <════════╗ ║ ║ punct
käega NOUN <══════╗ ║ ║ ║ obl
ei AUX <════╗ ║ ║ ║ ║ aux
tee VERB ═╗═╗═╝═╝═╝<╝ ║ conj
kärbse NOUN <╝ ║ ║ obl
pesagi NOUN <══╝ ║ obj
. PUNCT <════════════╝ punct
>>> import spacy
>>> nlp=spacy.load("en_udify")
>>> doc=nlp("Suuga teeb suure linna, käega ei tee kärbse pesagi.")
>>> import deplacy
>>> deplacy.render(doc)
Suuga NOUN <════╗ obl
teeb VERB ═══╗═╝═════╗═╗ root
suure ADJ <╗ ║ ║ ║ amod
linna NOUN ═╝<╝ ║ ║ obj
, PUNCT <════════╗ ║ ║ punct
käega NOUN <══════╗ ║ ║ ║ obl
ei AUX <════╗ ║ ║ ║ ║ aux
tee VERB ═╗═╗═╝═╝═╝<╝ ║ conj
kärbse NOUN <╝ ║ ║ obj
pesagi NOUN <══╝ ║ obj
. PUNCT <════════════╝ punct