Simple dependency visualizer
Project description
deplacy
Simple dependency visualizer for spaCy, UniDic2UD, Stanza, and NLP-Cube.
Usage with spaCy
>>> import spacy
>>> nlp=spacy.load("en_core_web_sm")
>>> doc=nlp("I saw three ships")
>>> import deplacy
>>> deplacy.render(doc)
I PRON <┐ nsubj
saw VERB ─┴─┐ ROOT
three NUM <┐ │ nummod
ships NOUN ─┘<┘ dobj
>>> deplacy.serve(doc)
http://127.0.0.1:5000 HTTP deplacy/0.6.5
deplacy.render(doc,BoxDrawingWidth=1,EnableCR=False,file=None)
renders doc
on a terminal. For old terminals, whose Box Drawing characters are "fullwidth", BoxDrawingWidth=2
nicely works. For several languages with "proportional" characters, EnableCR=True
may work well.
deplacy.serve(doc,port=5000)
invokes a simple web-server to visualize doc
with SVG. Try to connect http://127.0.0.1:5000
with your local browser.
Usage with UniDic2UD
>>> import unidic2ud
>>> nlp=unidic2ud.load(None,"english-ewt")
>>> doc=nlp("I saw three ships")
>>> d=str(doc)
>>> import deplacy
>>> deplacy.render(d)
>>> deplacy.serve(d)
Usage with Stanza
>>> import stanza
>>> nlp=stanza.Pipeline("en")
>>> doc=nlp("I saw three ships")
>>> from stanza.utils.conll import CoNLL
>>> d=CoNLL.conll_as_string(CoNLL.convert_dict(doc.to_dict()))
>>> import deplacy
>>> deplacy.render(d)
>>> deplacy.serve(d)
Usage with NLP-Cube
>>> from cube.api import Cube
>>> nlp=Cube()
>>> nlp.load("en")
>>> doc=nlp("I saw three ships")
>>> d="".join("".join(str(t)+"\n" for t in s)+"\n" for s in doc)
>>> import deplacy
>>> deplacy.render(d)
>>> deplacy.serve(d)
Installation
pip install deplacy
You need to install spaCy, UniDic2UD, Stanza, or NLP-Cube separately.
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