deplacy 0.3.0

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.render(doc,2)
I     PRON  <┐     nsubj
saw   VERB ─┴─┐ ROOT
three NUM   <┐  │ nummod
ships NOUN ─┘ <┘ dobj

deplacy.render(doc,BoxDrawingWidth=1,file=None) renders doc on a terminal. For old terminals, whose Box Drawing characters are "fullwidth", BoxDrawingWidth=2 nicely works.

Usage with UniDic2UD

>>> import unidic2ud
>>> nlp=unidic2ud.load(None,"english-ewt")
>>> doc=nlp("I saw three ships",raw=True)
>>> import deplacy
>>> deplacy.render(doc)

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)

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)

Installation

pip install deplacy

You need to install spaCy, UniDic2UD, Stanza, or NLP-Cube separately.