deplacy 0.6.2

Simple dependency visualizer

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

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) 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.